NIMH Data Archive - Data

Genomics

Neuroimaging

Phenotype¹

New Trial
Clinical Trial

¹ Numbers reported are subjects by age

New Project
Grant/Project Number

Format should be in the following format: Activity Code, Institute Abbreviation, and Serial Number. Grant Type, Support Year, and Suffix should be excluded. For example, grant 1R01MH123456-01A1 should be entered R01MH123456

Collection - Use Existing Experiment

To associate an experiment to the current collection, just select an axperiment from the table below then click the associate experiment button to persist your changes (saving the collection is not required). Note that once an experiment has been associated to two or more collections, the experiment will not longer be editable.

The table search feature is case insensitive and targets the experiment id, experiment name and experiment type columns. The experiment id is searched only when the search term entered is a number, and filtered using a startsWith comparison. When the search term is not numeric the experiment name is used to filter the results.

Select	Experiment Id	Experiment Name	Experiment Type	Created On

24	HI-NGS_R1	Omics	02/16/2011
475	MB1-10 (CHOP)	Omics	06/07/2016
490	Illumina Infinium PsychArray BeadChip Assay	Omics	07/07/2016
501	PharmacoBOLD Resting State	fMRI	07/27/2016
506	PVPREF	Omics	08/05/2016
509	ABC-CT Resting v2	EEG	08/18/2016
13	Comparison of FI expression in Autistic and Neurotypical Homo Sapiens	Omics	12/28/2010
18	AGRE/Broad Affymetrix 5.0 Genotype Experiment	Omics	01/06/2011
22	Stitching PCR Sequencing	Omics	02/14/2011
26	ASD_Methylation	Omics	03/01/2011
29	Microarray family 03 (father, mother, sibling)	Omics	03/24/2011
37	Standard paired-end sequencing of BCRs	Omics	04/19/2011
38	Illumina Mate-Pair BCR sequencing	Omics	04/19/2011
39	Custom Jumping Libraries	Omics	04/19/2011
40	Custom CapBP	Omics	04/19/2011
41	Immunofluorescence	Omics	05/11/2011
43	Autism brain sample genotyping, Illumina	Omics	05/16/2011
47	ARRA Autism Sequencing Collaboration at Baylor. SOLiD 4 System	Omics	08/01/2011
53	AGRE Omni1-quad	Omics	10/11/2011
59	AGP genotyping	Omics	04/03/2012
60	Ultradeep 454 sequencing of synaptic genes from postmortem cerebella of individuals with ASD and neurotypical controls	Omics	06/23/2012
63	Microemulsion PCR and Targeted Resequencing for Variant Detection in ASD	Omics	07/20/2012
76	Whole Genome Sequencing in Autism Families	Omics	01/03/2013
519	Resting	fMRI	11/08/2016
90	Genotyped IAN Samples	Omics	07/09/2013
91	NJLAGS Axiom Genotyping Array	Omics	07/16/2013
93	AGP genotyping (CNV)	Omics	09/06/2013
106	Longitudinal Sleep Study. H20 200. Channel set 2	EEG	11/07/2013
107	Longitudinal Sleep Study. H20 200. Channel set 3	EEG	11/07/2013
108	Longitudinal Sleep Study. AURA 200	EEG	11/07/2013
105	Longitudinal Sleep Study. H20 200. Channel set 1	EEG	11/07/2013
109	Longitudinal Sleep Study. AURA 400	EEG	11/07/2013
116	Gene Expression Analysis WG-6	Omics	01/07/2014
131	Jeste Lab UCLA ACEii: Charlie Brown and Sesame Street - Project 1	Eye Tracking	02/27/2014
132	Jeste Lab UCLA ACEii: Animacy - Project 1	Eye Tracking	02/27/2014
133	Jeste Lab UCLA ACEii: Mom Stranger - Project 2	Eye Tracking	02/27/2014
134	Jeste Lab UCLA ACEii: Face Emotion - Project 3	Eye Tracking	02/27/2014
145	AGRE/FMR1_Illumina.JHU	Omics	04/14/2014
146	AGRE/MECP2_Sanger.JHU	Omics	04/14/2014
147	AGRE/MECP2_Junior.JHU	Omics	04/14/2014
151	Candidate Gene Identification in familial Autism	Omics	06/09/2014
152	NJLAGS Whole Genome Sequencing	Omics	07/01/2014
154	Math Autism Study - Vinod Menon	fMRI	07/15/2014
155	Resting	fMRI	07/25/2014
156	Speech	fMRI	07/25/2014
159	Emotion	fMRI	07/25/2014
160	syllable contrast	EEG	07/29/2014
167	School-age naturalistic stimuli	Eye Tracking	09/19/2014
44	AGRE/Broad Affymetrix 5.0 Genotype Experiment	Omics	06/27/2011
45	Exome Sequencing of 20 Sporadic Cases of Autism Spectrum Disorder	Omics	07/15/2011

Collection - Add Experiment

Add Supporting Documentation

Funding Source:
URL:

To add an existing Data Structure, enter its title in the search bar. If you need to request changes, select the indicator "No, it requires changes to meet research needs" after selecting the Structure, and upload the file with the request changes specific to the selected Data Structure. Your file should follow the Request Changes Procedure. If the Data Structure does not exist, select "Request New Data Structure" and upload the appropriate zip file.

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The Data Expected list for this Collection shows some raw data as missing. Contact the NDA Help Desk with any questions.

Please confirm that you will not be enrolling any more subjects and that all raw data has been collected and submitted.

Collection Updated

Your Collection is now in Data Analysis phase and exempt from biannual submissions. Analyzed data is still expected prior to publication or no later than the project end date.

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[CMS]

Unable to change collection phase where targeted enrollment is less than 90%

You have requested to move the sharing dates for the following assessments:

Data Expected Item	Original Sharing Date	New Sharing Date

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Neurobiology of Autism With Macrocephaly #2424

General
Experiments (14)
Shared Data
Publications (17)
Data Expected (6)
Associated Studies (9)

Collection Title	Collection Investigators	Collection Description
Collection Title:	Neurobiology of Autism With Macrocephaly
Collection Investigators:	Flora Vaccarino
Collection Description:	Autism spectrum disorders ASDs affect 1 percent-2.5 percent of children worldwide. We suggest that etiological and genetic heterogeneity might converge in a few neurobiological downstream pathways. We have been investigating the pathobiology of ASD with large brain volume macrocephaly, a phenotype which confers poorer prognosis. Ongoing studies have shown that telencephalic organoids differentiated in vitro from induced pluripotent stem cells iPSC derived from patients with ASD and macrocephaly have increased cell proliferation, increased synaptic growth and overproduction of GABAergic inhibitory neurons, indicating an early imbalance in glutamate GABA neuron ratio. RNA interference experiments suggested that the overproduction of GABAergic cells is attributable, at least in part, to an increase in expression of FOXG1, a master regulatory transcription factor crucial for telencephalic development. Major goals of this application are 1 to expand our analysis of the developmental pathways that are dysregulated in ASD to a larger number of families and 2 to understand to what extent developmental alterations we identified in ASD with macrocephaly also apply to ASD in general. To this end, we will obtain data on neurobiological measures, transcriptome and chromatin active regions in organoids derived from ASD patients with enlarged brain size and ASD patients with normal brain size. The altered gene regulatory network will be inferred and the two networks will be compared to understand similarities and differences in the two subgroups of ASD. To begin to understand the upstream causes of these developmental alterations, we will then investigate whether patients with ASD carry an increased burden of rare genomic variations in regions of the genome that participate in this regulatory network. Finally we will perform overexpression and RNAi knockdown experiments to examine the specific role of our current best candidate transcription factor, FOXG1, in the constellation of neurobiological and transcriptome alterations found in ASD-derived progenitors. We will assess the impact of perturbing FOXG1 gene expression on neurobiological functions cell proliferation, glutamate GABA neuron fate, synaptic growth, transcriptome and activity of transcription regulatory regions by RNA-seq and ChIP-seq, respectively, to gain insights into the role of a FOXG1-driven transcriptional program in the aberrant neuronal differentiation of ASD-derived neural progenitors. In summary, in this application we delineate strategies for 1 identifying gene networks and biological pathways that characterize altered development in two subgroups of ASD 2 testing the causal role of one crucial node in such networks, the transcription factor FOXG1, which is over- active in ASD with macrocephaly and 3 identifying regulatory factors, both genetic and epigenetic, upstream from neurobiological and gene expression abnormalities. The impact of these experiments will be the definition of a number of biological functions and molecular markers that are implicated in the neurobiology of ASD.
Data Repository:	NIMH Data Archive
Permission Group:
Collection Creation Date:	08/01/2016
NIH Research Initiative:	NIMH Repository & Genomics Resource (NRGR)
Collection Phase:	Funding Completed
Collection Sub-Phase:	Close Out
Blinded Clinical Trial:	No
Total Funded Amount:	$1,349,091.00
Subjects Shared:	99

{"values":[]}

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Funding Sources:

Funding Source Name	Funding Source URL
NIH - Extramural	None

Supporting Documentation:

Grant Information:

Project Number	Project Title	Start Date	End Date	Planned Enrollment	Actual Enrollment	Organization	Funds Obligated
R01MH109648-01	Neurobiology of Autism With Macrocephaly	07/22/2016	04/30/2021	89	88	YALE UNIVERSITY	$1,349,091.00

Clinical Trials:

helpcenter.collection.general-tab

Collection - General Tab

Fields available for edit on the top portion of the page include:

Collection Title
Investigators
Collection Description
Collection Phase
Funding Source
Clinical Trials

Collection Phase: The current status of a research project submitting data to an NDA Collection, based on the timing of the award and/or the data that have been submitted.

Pre-Enrollment: The default entry made when the NDA Collection is created.
Enrolling: Data have been submitted to the NDA Collection or the NDA Data Expected initial submission date has been reached for at least one data structure category in the NDA Collection.
Data Analysis: Subject level data collection for the research project is completed and has been submitted to the NDA Collection. The NDA Collection owner or the NDA Help Desk may set this phase when they’ve confirmed data submission is complete and submitted subject counts match at least 90% of the target enrollment numbers in the NDA Data Expected. Data submission reminders will be turned off for the NDA Collection.
Funding Completed: The NIH grant award (or awards) associated with the NDA Collection has reached its end date. NDA Collections in Funding Completed phase are assigned a subphase to indicate the status of data submission.
- The Data Expected Subphase indicates that NDA expects more data will be submitted
- The Closeout Subphase indicates the data submission is complete.
- The Sharing Not Met Subphase indicates that data submission was not completed as expected.

Blinded Clinical Trial Status:

This status is set by a Collection Owner and indicates the research project is a double blinded clinical trial. When selected, the public view of Data Expected will show the Data Expected items and the Submission Dates, but the targeted enrollment and subjects submitted counts will not be displayed.
Targeted enrollment and subjects submitted counts are visible only to NDA Administrators and to the NDA Collection or as the NDA Collection Owner.
When an NDA Collection that is flagged Blinded Clinical Trial reaches the maximum data sharing date for that Data Repository (see https://nda.nih.gov/nda/sharing-regimen.html), the embargo on Data Expected information is released.

Funding Source

The organization(s) responsible for providing the funding is listed here.

Supporting Documentation

Users with Submission privileges, as well as Collection Owners, Program Officers, and those with Administrator privileges, may upload and attach supporting documentation. By default, supporting documentation is shared to the general public, however, the option is also available to limit this information to qualified researchers only.

Grant Information

Identifiable details are displayed about the Project of which the Collection was derived from. You may click in the Project Number to view a full report of the Project captured by the NIH.

Clinical Trials

Any data that is collected to support or further the research of clinical studies will be available here. Collection Owners and those with Administrator privileges may add new clinical trials.

Frequently Asked Questions

How does the NIMH Data Archive (NDA) determine which Permission Group data are submitted into?

During Collection creation, NDA staff determine the appropriate Permission Group based on the type of data to be submitted, the type of access that will be available to data access users, and the information provided by the Program Officer during grant award.
How do I know when a NDA Collection has been created?

When a Collection is created by NDA staff, an email notification will automatically be sent to the PI(s) of the grant(s) associated with the Collection to notify them.
Is a single grant number ever associated with more than one Collection?

The NDA system does not allow for a single grant to be associated with more than one Collection; therefore, a single grant will not be listed in the Grant Information section of a Collection for more than one Collection.
Why is there sometimes more than one grant included in a Collection?

In general, each Collection is associated with only one grant; however, multiple grants may be associated if the grant has multiple competing segments for the same grant number or if multiple different grants are all working on the same project and it makes sense to hold the data in one Collection (e.g., Cooperative Agreements).

Glossary

Administrator Privilege

A privilege provided to a user associated with an NDA Collection or NDA Study whereby that user can perform a full range of actions including providing privileges to other users.
Collection Owner

Generally, the Collection Owner is the contact PI listed on a grant. Only one NDA user is listed as the Collection owner. Most automated emails are primarily sent to the Collection Owner.
Collection Phase
The Collection Phase provides information on data submission as opposed to grant/project completion so while the Collection phase and grant/project phase may be closely related they are often different. Collection users with Administrative Privileges are encouraged to edit the Collection Phase. The Program Officer as listed in eRA (for NIH funded grants) may also edit this field. Changes must be saved by clicking the Save button at the bottom of the page. This field is sortable alphabetically in ascending or descending order. Collection Phase options include:
- Pre-Enrollment: A grant/project has started, but has not yet enrolled subjects.
- Enrolling: A grant/project has begun enrolling subjects. Data submission is likely ongoing at this point.
- Data Analysis: A grant/project has completed enrolling subjects and has completed all data submissions.
- Funding Completed: A grant/project has reached the project end date.
Collection Title

An editable field with the title of the Collection, which is often the title of the grant associated with the Collection.
Grant

Provides the grant number(s) for the grant(s) associated with the Collection. The field is a hyperlink so clicking on the Grant number will direct the user to the grant information in the NIH Research Portfolio Online Reporting Tools (RePORT) page.
Supporting Documentation

Various documents and materials to enable efficient use of the data by investigators unfamiliar with the project and may include the research protocol, questionnaires, and study manuals.
NIH Research Initiative

NDA Collections may be organized by scientific similarity into NIH Research Initiatives, to facilitate query tool user experience. NIH Research Initiatives map to one or multiple Funding Opportunity Announcements.
Permission Group

Access to shared record-level data in NDA is provisioned at the level of a Permission Group. NDA Permission Groups consist of one or multiple NDA Collections that contain data with the same subject consents.
Planned Enrollment

Number of human subject participants to be enrolled in an NIH-funded clinical research study. The data is provided in competing applications and annual progress reports.
Actual Enrollment

Number of human subjects enrolled in an NIH-funded clinical research study. The data is provided in annual progress reports.
NDA Collection

A virtual container and organization structure for data and associated documentation from one grant or one large project/consortium. It contains tools for tracking data submission and allows investigators to define a wide array of other elements that provide context for the data, including all general information regarding the data and source project, experimental parameters used to collect any event-based data contained in the Collection, methods, and other supporting documentation. They also allow investigators to link underlying data to an NDA Study, defining populations and subpopulations specific to research aims.
Data Use Limitations

Data Use Limitations (DULs) describe the appropriate secondary use of a dataset and are based on the original informed consent of a research participant. NDA only accepts consent-based data use limitations defined by the NIH Office of Science Policy.
Total Subjects Shared

The total number of unique subjects for whom data have been shared and are available for users with permission to access data.

Contact NDA Help Desk

ID	Name	Created Date	Status	Type
1380	FOXG1 RNA-seq	09/11/2019	Approved	Omics
1413	ChIP-seq H3K27ac	10/08/2019	Approved	Omics
1511	ChIP-seq H3K27me3	01/24/2020	Approved	Omics
1512	ChIP-seq H3K4me3	01/24/2020	Approved	Omics
1513	ChIP-seq H3K4me1	01/24/2020	Approved	Omics
1514	ChIP-seq INPUT	01/24/2020	Approved	Omics
1533	Single cell DNA whole genome sequencing low coverage data	02/25/2020	Approved	Omics
1534	Single cell DNA whole genome sequencing high coverage data	02/25/2020	Approved	Omics
1535	iPSC bulk DNA whole genome sequencing data	02/25/2020	Approved	Omics
1603	Bulk ATAC-seq (paired reads)	09/18/2020	Approved	Omics
1604	Bulk ATAC-seq (single reads)	09/18/2020	Approved	Omics
1694	FOXG1-Ab ChIP-seq	01/26/2021	Approved	Omics
1826	scRNAseq	07/26/2021	Approved	Omics
1827	scATACseq	07/26/2021	Approved	Omics

helpcenter.collection.experiments-tab

Collection - Experiments

The number of Experiments included is displayed in parentheses next to the tab name. You may download all experiments associated with the Collection via the Download button. You may view individual experiments by clicking the Experiment Name and add them to the Filter Cart via the Add to Cart button.

Collection Owners, Program Officers, and users with Submission or Administrative Privileges for the Collection may create or edit an Experiment.

Please note: The creation of an NDA Experiment does not necessarily mean that data collected, according to the defined Experiment, has been submitted or shared.

Frequently Asked Questions

Can an Experiment be associated with more than one Collection?
Yes -see the “Copy” button in the bottom left when viewing an experiment. There are two actions that can be performed via this button:
1. Copy the experiment with intent for modifications.
2. Associate the experiment to the collection. No modifications can be made to the experiment.

Glossary

Experiment Status

An Experiment must be Approved before data using the associated Experiment_ID may be uploaded.
Experiment ID

The ID number automatically generated by NDA which must be included in the appropriate file when uploading data to link the Experiment Definition to the subject record.

Contact NDA Help Desk

Shared Data:

Title	Type	Number of Subjects
Autism Diagnostic Interview, Revised (ADI-R)	Clinical Assessments	4
Autism Diagnostic Observation Schedule (ADOS) - Module 4	Clinical Assessments	1
Autism Diagnostic Observation Schedule (ADOS)- Module 2	Clinical Assessments	4
Autism Diagnostic Observation Schedule (ADOS)- Module 3	Clinical Assessments	2
DAS-II:Differential Ability Scales 2nd Ed. Early Years	Clinical Assessments	5
Genomics Sample	Genomics	41
Genomics Subject	Genomics	41
Research Subject	Clinical Assessments	88
Vineland-II - Survey Form (2005)	Clinical Assessments	5

helpcenter.collection.shared-data-tab

Collection - Shared Data

This tab provides a quick overview of the Data Structure title, Data Type, and Number of Subjects that are currently Shared for the Collection. The information presented in this tab is automatically generated by NDA and cannot be edited. If no information is visible on this tab, this would indicate the Collection does not have shared data or the data is private.

The shared data is available to other researchers who have permission to access data in the Collection's designated Permission Group(s). Use the Download button to get all shared data from the Collection to the Filter Cart.

Frequently Asked Questions

How will I know if another researcher uses data that I shared through the NIMH Data Archive (NDA)?

To see what data your project have submitted are being used by a study, simply go the Associated Studies tab of your collection. Alternatively, you may review an NDA Study Attribution Report available on the General tab.
Can I get a supplement to share data from a completed research project?

Often it becomes more difficult to organize and format data electronically after the project has been completed and the information needed to create a GUID may not be available; however, you may still contact a program staff member at the appropriate funding institution for more information.
Can I get a supplement to share data from a research project that is still ongoing?

Unlike completed projects where researchers may not have the information needed to create a GUID and/or where the effort needed to organize and format data becomes prohibitive, ongoing projects have more of an opportunity to overcome these challenges. Please contact a program staff member at the appropriate funding institution for more information.

Glossary

Data Structure

A defined organization and group of Data Elements to represent an electronic definition of a measure, assessment, questionnaire, or collection of data points. Data structures that have been defined in the NDA Data Dictionary are available at https://nda.nih.gov/general-query.html?q=query=data-structure
Data Type

A grouping of data by similar characteristics such as Clinical Assessments, Omics, or Neurosignal data.
Shared

The term 'Shared' generally means available to others; however, there are some slightly different meanings based on what is Shared. A Shared NDA Study is viewable and searchable publicly regardless of the user's role or whether the user has an NDA account. A Shared NDA Study does not necessarily mean that data used in the NDA Study have been shared as this is independently determined. Data are shared according the schedule defined in a Collection's Data Expected Tab and/or in accordance with data sharing expectations in the NDA Data Sharing Terms and Conditions. Additionally, Supporting Documentation uploaded to a Collection may be shared independent of whether data are shared.

Contact NDA Help Desk

Collection Owners and those with Collection Administrator permission, may edit a collection. The following is currently available for Edit on this page:

Publications

Publications relevant to NDA data are listed below. Most displayed publications have been associated with the grant within Pubmed. Use the "+ New Publication" button to add new publications. Publications relevant/not relevant to data expected are categorized. Relevant publications are then linked to the underlying data by selecting the Create Study link. Study provides the ability to define cohorts, assign subjects, define outcome measures and lists the study type, data analysis and results. Analyzed data and results are expected in this way.

PubMed ID	Study	Title	Journal	Authors	Date	Status
38915580	Create Study	Early Developmental Origins of Cortical Disorders Modeled in Human Neural Stem Cells.	bioRxiv : the preprint server for biology	Mato-Blanco, Xoel; Kim, Suel-Kee; Jourdon, Alexandre; Ma, Shaojie; Tebbenkamp, Andrew T N; Liu, Fuchen; Duque, Alvaro; Vaccarino, Flora M; Sestan, Nenad; Colantuoni, Carlo; Rakic, Pasko; Santpere, Gabriel; Micali, Nicola	June 14, 2024	Not Determined
38781336	Create Study	Evaluating performance and applications of sample-wise cell deconvolution methods on human brain transcriptomic data.	Science advances	Dai, Rujia; Chu, Tianyao; Zhang, Ming; Wang, Xuan; Jourdon, Alexandre; Wu, Feinan; Mariani, Jessica; Vaccarino, Flora M; Lee, Donghoon; Fullard, John F; Hoffman, Gabriel E; Roussos, Panos; Wang, Yue; Wang, Xusheng; Pinto, Dalila; Wang, Sidney H; Zhang, Chunling; PsychENCODE consortium; Chen, Chao; Liu, Chunyu	May 24, 2024	Not Determined
38365907	Create Study	Characterization of enhancer activity in early human neurodevelopment using Massively Parallel Reporter Assay (MPRA) and forebrain organoids.	Scientific reports	Capauto, Davide; Wang, Yifan; Wu, Feinan; Norton, Scott; Mariani, Jessica; Inoue, Fumitaka; Crawford, Gregory E; Ahituv, Nadav; Abyzov, Alexej; Vaccarino, Flora M	February 16, 2024	Not Determined
37674007	Create Study	Author Correction: Modeling idiopathic autism in forebrain organoids reveals an imbalance of excitatory cortical neuron subtypes during early neurogenesis.	Nature neuroscience	Jourdon, Alexandre; Wu, Feinan; Mariani, Jessica; Capauto, Davide; Norton, Scott; Tomasini, Livia; Amiri, Anahita; Suvakov, Milovan; Schreiner, Jeremy D; Jang, Yeongjun; Panda, Arijit; Nguyen, Cindy Khanh; Cummings, Elise M; Han, Gloria; Powell, Kelly; Szekely, Anna; McPartland, James C; Pelphrey, Kevin; Chawarska, Katarzyna; Ventola, Pamela; Abyzov, Alexej; Vaccarino, Flora M	November 1, 2023	Not Determined
37645832	Create Study	Characterization of enhancer activity in early human neurodevelopment using Massively parallel reporter assay (MPRA) and forebrain organoids.	bioRxiv : the preprint server for biology	Capauto, Davide; Wang, Yifan; Wu, Feinan; Norton, Scott; Mariani, Jessica; Inoue, Fumitaka; Crawford, Gregory E; PsychENCODE Consortium; Ahituv, Nadav; Abyzov, Alexej; Vaccarino, Flora M	August 14, 2023	Not Determined
37563294	Create Study	Modeling idiopathic autism in forebrain organoids reveals an imbalance of excitatory cortical neuron subtypes during early neurogenesis.	Nature neuroscience	Jourdon, Alexandre; Wu, Feinan; Mariani, Jessica; Capauto, Davide; Norton, Scott; Tomasini, Livia; Amiri, Anahita; Suvakov, Milovan; Schreiner, Jeremy D; Jang, Yeongjun; Panda, Arijit; Nguyen, Cindy Khanh; Cummings, Elise M; Han, Gloria; Powell, Kelly; Szekely, Anna; McPartland, James C; Pelphrey, Kevin; Chawarska, Katarzyna; Ventola, Pamela; Abyzov, Alexej; Vaccarino, Flora M	September 1, 2023	Not Determined
37071670	Create Study	Clonally Selected Lines After CRISPR-Cas Editing Are Not Isogenic.	The CRISPR journal	Panda, Arijit; Suvakov, Milovan; Mariani, Jessica; Drucker, Kristen L; Park, Yohan; Jang, Yeongjun; Kollmeyer, Thomas M; Sarkar, Gobinda; Bae, Taejeong; Kim, Jean J; Yoon, Wan Hee; Jenkins, Robert B; Vaccarino, Flora M; Abyzov, Alexej	April 1, 2023	Not Determined
36993743	Create Study	Evaluating performance and applications of sample-wise cell deconvolution methods on human brain transcriptomic data.	bioRxiv : the preprint server for biology	Dai, Rujia; Chu, Tianyao; Zhang, Ming; Wang, Xuan; Jourdon, Alexandre; Wu, Feinan; Mariani, Jessica; Vaccarino, Flora M; Lee, Donghoon; Fullard, John F; Hoffman, Gabriel E; Roussos, Panos; Wang, Yue; Wang, Xusheng; Pinto, Dalila; Wang, Sidney H; Zhang, Chunling; PsychENCODE consortium; Chen, Chao; Liu, Chunyu	March 15, 2023	Not Determined
36447010	Create Study	Mispatterning and interneuron deficit in Tourette Syndrome basal ganglia organoids.	Molecular psychiatry	Brady, Melanie V; Mariani, Jessica; Koca, Yildiz; Szekely, Anna; King, Robert A; Bloch, Michael H; Landeros-Weisenberger, Angeli; Leckman, James F; Vaccarino, Flora M	December 1, 2022	Not Determined
35901164	Create Study	Analysis of somatic mutations in 131 human brains reveals aging-associated hypermutability.	Science (New York, N.Y.)	Bae, Taejeong; Fasching, Liana; Wang, Yifan; Shin, Joo Heon; Suvakov, Milovan; Jang, Yeongjun; Norton, Scott; Dias, Caroline; Mariani, Jessica; Jourdon, Alexandre; Wu, Feinan; Panda, Arijit; Pattni, Reenal; Chahine, Yasmine; Yeh, Rebecca; Roberts, Rosalinda C; Huttner, Anita; Kleinman, Joel E; Hyde, Thomas M; Straub, Richard E; Walsh, Christopher A; Brain Somatic Mosaicism Network§; Urban, Alexander E; Leckman, James F; Weinberger, Daniel R; Vaccarino, Flora M; Abyzov, Alexej	July 29, 2022	Not Determined
33513360	Create Study	Cell-to-Cell Adhesion and Neurogenesis in Human Cortical Development: A Study Comparing 2D Monolayers with 3D Organoid Cultures.	Stem cell reports	Scuderi, Soraya; Altobelli, Giovanna G; Cimini, Vincenzo; Coppola, Gianfilippo; Vaccarino, Flora M	February 9, 2021	Not Determined
32659782	Create Study	PsychENCODE and beyond: transcriptomics and epigenomics of brain development and organoids.	Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology	Jourdon, Alexandre; Scuderi, Soraya; Capauto, Davide; Abyzov, Alexej; Vaccarino, Flora M	January 2021	Relevant
32619508	Create Study	One for All: A Pooled Approach to Classify Functional Impacts of Multiple Mutations.	Cell stem cell	Jourdon, Alexandre; Vaccarino, Flora M	July 2, 2020	Relevant
31173711	Create Study	Breakthrough Moments: Yoshiki Sasai''s Discoveries in the Third Dimension.	Cell stem cell	Mariani, Jessica; Vaccarino, Flora M	June 2019	Relevant
30545853	Create Study	Transcriptome and epigenome landscape of human cortical development modeled in organoids.	Science (New York, N.Y.)	Amiri, Anahita; Coppola, Gianfilippo; Scuderi, Soraya; Wu, Feinan; Roychowdhury, Tanmoy; Liu, Fuchen; Pochareddy, Sirisha; Shin, Yurae; Safi, Alexias; Song, Lingyun; Zhu, Ying; Sousa, André M M; PsychENCODE Consortium; Gerstein, Mark; Crawford, Gregory E; Sestan, Nenad; Abyzov, Alexej; Vaccarino, Flora M	December 2018	Relevant
29730163	Create Study	iPSC-derived neurons profiling reveals GABAergic circuit disruption and acetylated α-tubulin defect which improves after iHDAC6 treatment in Rett syndrome.	Experimental cell research	Landucci, Elisa; Brindisi, Margherita; Bianciardi, Laura; Catania, Lorenza M; Daga, Sergio; Croci, Susanna; Frullanti, Elisa; Fallerini, Chiara; Butini, Stefania; Brogi, Simone; Furini, Simone; Melani, Riccardo; Molinaro, Angelo; Lorenzetti, Flaminia Clelia; Imperatore, Valentina; Amabile, Sonia; Mariani, Jessica; Mari, Francesca; Ariani, Francesca; Pizzorusso, Tommaso; Pinto, Anna Maria; Vaccarino, Flora M; Renieri, Alessandra; Campiani, Giuseppe; Meloni, Ilaria	July 15, 2018	Not Determined
28418023	Create Study	Human induced pluripotent stem cells for modelling neurodevelopmental disorders.	Nature reviews. Neurology	Ardhanareeswaran K, Mariani J, Coppola G, Abyzov A, Vaccarino FM	May 2017	Relevant

helpcenter.collection.publications-tab

Collection - Publications

The number of Publications is displayed in parentheses next to the tab name. Clicking on any of the Publication Titles will open the Publication in a new internet browsing tab.

Collection Owners, Program Officers, and users with Submission or Administrative Privileges for the Collection may mark a publication as either Relevant or Not Relevant in the Status column.

Frequently Asked Questions

How can I determine if a publication is relevant?

Publications are considered relevant to a collection when the data shared is directly related to the project or collection.
Where does the NDA get the publications?

PubMed, an online library containing journals, articles, and medical research. Sponsored by NiH and National Library of Medicine (NLM).

Glossary

Create Study

A link to the Create an NDA Study page that can be clicked to start creating an NDA Study with information such as the title, journal and authors automatically populated.
Not Determined Publication

Indicates that the publication has not yet been reviewed and/or marked as Relevant or Not Relevant so it has not been determined whether an NDA Study is expected.
Not Relevant Publication

A publication that is not based on data related to the aims of the grant/project associated with the Collection or not based on any data such as a review article and, therefore, an NDA Study is not expected to be created.
PubMed

PubMed provides citation information for biomedical and life sciences publications and is managed by the U.S. National Institutes of Health's National Library of Medicine.
PubMed ID

The PUBMed ID is the unique ID number for the publication as recorded in the PubMed database.
Relevant Publication

A publication that is based on data related to the aims of the grant/project associated with the Collection and, therefore, an NDA Study is expected to be created.

Contact NDA Help Desk

Data Expected List: Mandatory Data Structures

These data structures are mandatory for your NDA Collection. Please update the Targeted Enrollment number to accurately represent the number of subjects you expect to submit for the entire study.

For NIMH HIV-related research that involves human research participants: Select the dictionary or dictionaries most appropriate for your research. If your research does not require all three data dictionaries, just ignore the ones you do not need. There is no need to delete extra data dictionaries from your NDA Collection. You can adjust the Targeted Enrollment column in the Data Expected tab to “0” for those unnecessary data dictionaries. At least one of the three data dictionaries must have a non-zero value.

Data Expected	Targeted Enrollment	Initial Submission	Subjects Submitted	Initial Share	Subjects Shared	Status
Research Subject and Pedigree	1	07/15/2017	99	11/15/2017	99	Approved

To create your project's Data Expected list, use the "+New Data Expected" to add or request existing structures and to request new Data Structures that are not in the NDA Data Dictionary.

If the Structure you need already exists, locate it and specify your dates and enrollment when adding it to your Data Expected list. If you require changes to the Structure you need, select the indicator stating "No, it requires changes to meet research needs," and upload a file containing your requested changes.

If the structure you need is not yet defined in the Data Dictionary, you can select "Upload Definition" and attach the necessary materials to request its creation.

When selecting the expected dates for your data, make sure to follow the standard Data Sharing Regimen and choose dates within the date ranges that correspond to your project start and end dates.

Please visit the Completing Your Data Expected Tutorial for more information.

Data Expected List: Data Structures per Research Aims

These data structures are specific to your research aims and should list all data structures in which data will be collected and submitted for this NDA Collection. Please update the Targeted Enrollment number to accurately represent the number of subjects you expect to submit for the entire study.

Data Expected	Targeted Enrollment	Initial Submission	Subjects Submitted	Initial Share	Subjects Shared	Status
Genomics/omics	96	01/02/2018	41	01/02/2019	41	Approved
ADOS	2	05/15/2017	7	05/15/2017	7	Approved
ADI-R	2	01/02/2018	4	01/02/2019	4	Approved
DAS-II: Differential Ability Scales	3	01/02/2018	5	01/02/2019	5	Approved
Vineland (Parent and Caregiver)	3	05/15/2017	5	05/15/2017	5	Approved

Structure not yet defined

No Status history for this Data Expected has been recorded yet

helpcenter.collection.data-expected-tab

Collection - Data Expected

The Data Expected tab displays the list of all data that NDA expects to receive in association with the Collection as defined by the contributing researcher, as well as the dates for the expected initial upload of the data, and when it is first expected to be shared, or with the research community. Above the primary table of Data Expected, any publications determined to be relevant to the data within the Collection are also displayed - members of the contributing research group can use these to define NDA Studies, connecting those papers to underlying data in NDA.

The tab is used both as a reference for those accessing shared data, providing information on what is expected and when it will be shared, and as the primary tracking mechanism for contributing projects. It is used by both contributing primary researchers, secondary researchers, and NIH Program and Grants Management staff.

Researchers who are starting their project need to update their Data Expected list to include all the Data Structures they are collecting under their grant and set their initial submission and sharing schedule according to the NDA Data Sharing Regimen.

To add existing Data Structures from the Data Dictionary, to request new Data Structure that are not in the Dictionary, or to request changes to existing Data Structures, click "+New Data Expected".

For step-by-step instructions on how to add existing Data Structures, request changes to an existing Structure, or request a new Data Structure, please visit the Completing Your Data Expected Tutorial.

If you are a contributing researcher creating this list for the first time, or making changes to the list as your project progress, please note the following:

Although items you add to the list and changes you make are displayed, they are not committed to the system until you Save the entire page using the "Save" button at the bottom of your screen. Please Save after every change to ensure none of your work is lost.
If you attempt to add a new structure, the title you provide must be unique - if another structure exists with the same name your change will fail.
Adding a new structure to this list is the only way to request the creation of a new Data Dictionary definition.

Frequently Asked Questions

What is an NDA Data Structure?

An NDA Data Structure is comprised of multiple Data Elements to make up an electronic definition of an assessment, measure, questionnaire, etc will have a corresponding Data Structure.
What is the NDA Data Dictionary?

The NDA Data Dictionary is comprised of electronic definitions known as Data Structures.

Glossary

Analyzed Data

Data specific to the primary aims of the research being conducted (e.g. outcome measures, other dependent variables, observations, laboratory results, analyzed images, volumetric data, etc.) including processed images.
Data Item

Items listed on the Data Expected list in the Collection which may be an individual and discrete Data Structure, Data Structure Category, or Data Structure Group.
Data Structure

A defined organization and group of Data Elements to represent an electronic definition of a measure, assessment, questionnaire, or collection of data points. Data structures that have been defined in the NDA Data Dictionary are available at https://nda.nih.gov/general-query.html?q=query=data-structure
Data Structure Category

An NDA term describing the affiliation of a Data Structure to a Category, which may be disease/disorder or diagnosis related (Depression, ADHD, Psychosis), specific to data type (MRI, eye tracking, omics), or type of data (physical exam, IQ).
Data Structure Group

A Data Item listed on the Data Expected tab of a Collection that indicates a group of Data Structures (e.g., ADOS or SCID) for which data may be submitted instead of a specific Data Structure identified by version, module, edition, etc. For example, the ADOS Data Structure Category includes every ADOS Data Structure such as ADOS Module 1, ADOS Module 2, ADOS Module 1 - 2nd Edition, etc. The SCID Data Structure Group includes every SCID Data Structure such as SCID Mania, SCID V Mania, SCID PTSD, SCID-V Diagnosis, and more.
Evaluated Data

A new Data Structure category, Evaluated Data is analyzed data resulting from the use of computational pipelines in the Cloud and can be uploaded directly back to a miNDAR database. Evaluated Data is expected to be listed as a Data Item in the Collection's Data Expected Tab.
Imaging Data

Imaging+ is an NDA term which encompasses all imaging related data including, but not limited to, images (DTI, MRI, PET, Structural, Spectroscopy, etc.) as well as neurosignal data (EEG, fMRI, MEG, EGG, eye tracking, etc.) and Evaluated Data.
Initial Share Date

Initial Submission and Initial Share dates should be populated according to the NDA Data Sharing Terms and Conditions. Any modifications to these will go through the approval processes outlined above. Data will be shared with authorized users upon publication (via an NDA Study) or 1-2 years after the grant end date specified on the first Notice of Award, as defined in the applicable Data Sharing Terms and Conditions.
Initial Submission Date

Initial Submission and Initial Share dates should be populated according to these NDA Data Sharing Terms and Conditions. Any modifications to these will go through the approval processes outlined above. Data for all subjects is not expected on the Initial Submission Date and modifications may be made as necessary based on the project's conduct.
Research Subject and Pedigree

An NDA created Data Structure used to convey basic information about the subject such as demographics, pedigree (links family GUIDs), diagnosis/phenotype, and sample location that are critical to allow for easier querying of shared data.
Submission Cycle

The NDA has two Submission Cycles per year - January 15 and July 15.
Submission Exemption

An interface to notify NDA that data may not be submitted during the upcoming/current submission cycle.

Contact NDA Help Desk

Collection Owners and those with Collection Administrator permission, may edit a collection. The following is currently available for Edit on this page:

Associated Studies

Studies that have been defined using data from a Collection are important criteria to determine the value of data shared. The number of subjects column displays the counts from this Collection that are included in a Study, out of the total number of subjects in that study. The Data Use column represents whether or not the study is a primary analysis of the data or a secondary analysis. State indicates whether the study is private or shared with the research community.

Study NameFilter by Study Name	AbstractFilter by Abstract	Collection/Study SubjectsFilter by Collection/Study Subjects	Data UsageFilter by Data Usage	StateFilter by State
Examining the validity of the use of ratio IQs in psychological assessments	IQ tests are amongst the most used psychological assessments, both in research and clinical settings. For participants who cannot complete IQ tests normed for their age, ratio IQ scores (RIQ) are routinely computed and used as a proxy of IQ, especially in large research databases to avoid missing data points. However, because it has never been scientifically validated, this practice is questionable. In the era of big data, it is important to examine the validity of this widely used practice. In this paper, we use the case of autism to examine the differences between standard full-scale IQ (FSIQ) and RIQ. Data was extracted from four databases in which ages, FSIQ scores and subtests raw scores were available for autistic participants between 2 and 17 years old. The IQ tests included were the MSEL (N=12033), DAS-II early years (N=1270), DAS-II school age (N=2848), WISC-IV (N=471) and WISC-V (N=129). RIQs were computed for each participant as well as the discrepancy (DSC) between RIQ and FSIQ. We performed two linear regressions to respectively assess the effect of FSIQ and of age on the DSC for each IQ test, followed by additional analyses comparing age subgroups as well as FSIQ subgroups on DSC. Participants at the extremes of the FSIQ distribution tended to have a greater DSC than participants with average FSIQ. Furthermore, age significantly predicted the DSC, with RIQ superior to FSIQ for younger participants while the opposite was found for older participants. These results question the validity of this widely used alternative scoring method, especially for individuals at the extremes of the normal distribution, with whom RIQs are most often employed.	5/17423	Secondary Analysis	Shared
Prognostic early snapshot stratification of autism based on adaptive functioning	A major goal of precision medicine is to predict prognosis based on individualized information at the earliest possible points in development. Using early snapshots of adaptive functioning and unsupervised data- driven discovery methods, we uncover highly stable early autism subtypes that yield information relevant to later prognosis. Data from the National Institute of Mental Health Data Archive (NDA) (n = 1,098) was used to uncover three early subtypes (<72 months) that generalize with 96% accuracy. Outcome data from NDA (n = 2,561; mean age, 13 years) also reproducibly clusters into three subtypes with 99% generalization accuracy. Early snapshot subtypes predict developmental trajectories in non-verbal cognitive, language and motor domains and are predictive of membership in different adaptive functioning outcome subtypes. Robust and prognosis- relevant subtyping of autism based on early snapshots of adaptive functioning may aid future research work via prediction of these subtypes with our reproducible stratification model.	5/3517	Secondary Analysis	Shared
Imbalanced social-communicative and restricted repetitive behavior subtypes in autism spectrum disorder exhibit different neural circuitry	Social-communication (SC) and restricted repetitive behaviors (RRB) are autism diagnostic symptom domains. SC and RRB severity can markedly differ within and between individuals and may be underpinned by different neural circuitry and genetic mechanisms. Modeling SC-RRB balance could help identify how neural circuitry and genetic mechanisms map onto such phenotypic heterogeneity. Here, we developed a phenotypic stratification model that makes highly accurate (97–99%) out-of-sample SC = RRB, SC > RRB, and RRB > SC subtype predictions. Applying this model to resting state fMRI data from the EU-AIMS LEAP dataset (n = 509), we find that while the phenotypic subtypes share many commonalities in terms of intrinsic functional connectivity, they also show replicable differences within some networks compared to a typically-developing group (TD). Specifically, the somatomotor network is hypoconnected with perisylvian circuitry in SC > RRB and visual association circuitry in SC = RRB. The SC = RRB subtype show hyperconnectivity between medial motor and anterior salience circuitry. Genes that are highly expressed within these networks show a differential enrichment pattern with known autism-associated genes, indicating that such circuits are affected by differing autism-associated genomic mechanisms. These results suggest that SC-RRB imbalance subtypes share many commonalities, but also express subtle differences in functional neural circuitry and the genomic underpinnings behind such circuitry.	4/1708	Secondary Analysis	Shared
Brain-based sex differences in autism spectrum disorder across the lifespan: A systematic review of structural MRI, fMRI, and DTI findings	Females with autism spectrum disorder (ASD) have been long overlooked in neuroscience research, but emerging evidence suggests they show distinct phenotypic trajectories and age-related brain differences. Sex-related biological factors (e.g., hormones, genes) may play a role in ASD etiology and have been shown to influence neurodevelopmental trajectories. Thus, a lifespan approach is warranted to understand brain-based sex differences in ASD. This systematic review on MRI-based sex differences in ASD was conducted to elucidate variations across the lifespan and inform biomarker discovery of ASD in females. We identified articles through two database searches. Fifty studies met criteria and underwent integrative review. We found that regions expressing replicable sex-by-diagnosis differences across studies overlapped with regions showing sex differences in neurotypical (NT) cohorts, in particular regions showing NT male>female volumes. Furthermore, studies investigating age-related brain differences across a broad age-span suggest distinct neurodevelopmental patterns in females with ASD. Qualitative comparison across youth and adult studies also supported this hypothesis. However, many studies collapsed across age, which may mask differences. Furthermore, accumulating evidence supports the female protective effect in ASD, although only one study examined brain circuits implicated in “protection.” When synthesized with the broader literature, brain-based sex differences in ASD may come from various sources, including genetic and endocrine processes involved in brain “masculinization” and “feminization” across early development, puberty, and other lifespan windows of hormonal transition. Furthermore, sex-related biology may interact with peripheral processes, in particular the stress axis and brain arousal system, to produce distinct neurodevelopmental patterns in males and females with ASD. Future research on neuroimaging-based sex differences in ASD would benefit from a lifespan approach in well-controlled and multivariate studies. Possible relationships between behavior, sex hormones, and brain development in ASD remain largely unexamined.	2/759	Secondary Analysis	Shared
Enhancer-driven regulatory network of forebrain human development provides insights into autism	Cell differentiation involves shifts in chromatin organization allowing transcription factors (TFs) to bind enhancer elements and modulate gene expression. The TF-enhancer-gene regulatory interactions that control the formation of neuronal lineages have yet to be charted in humans. Here, we mapped enhancer elements and conducted an integrative analysis of epigenomic and transcriptomic profiles across 60 days of differentiation of human forebrain organoids derived from 10 individuals with autism spectrum disorder (ASD) and their neurotypical fathers. This multi-omics profiling allowed us to build an enhancer-driven gene regulatory network (GRN) of early neural development. We validated the GRN by performing a loss-of-function experiment with FOXG1 – one of the master TFs in the development of the mammalian brain. Analysis of the constructed GRN identified regulatory hierarchies driving the specification of neuronal cell types. By analyzing differential gene expression in ASD through the GRN hierarchy, we associated the ASD transcriptomic signatures to altered activity of key TFs. We found that macrocephalic ASD was principally driven by an increased activity of BHLHE22, FOXG1, EOMES, and NEUROD2, which are major regulators of excitatory neuron fate. Normocephalic ASD, on the contrary, was driven by decreased activity of those same TFs and by an increased activity of LMX1B and FOXB1 – two upstream TF repressors of FOXG1. These findings suggest that ASD is characterized by an altered early gene regulatory program that specifies neuronal cell lineages in the fetal brain. Thus, constructing a GRN of early brain development modeled in organoids provides insights into the etiology of ASD and can guide future experimental approaches to establish its genetic causes and treatment strategies.	36/41	Primary Analysis	Shared
ASD modelling in organoids reveals imbalance of excitatory cortical neuron subtypes during early neurogenesis	There is no clear genetic etiology or convergent pathophysiology for autism spectrum disorders (ASD). Using cortical organoids and single-cell transcriptomics, we modeled alterations in the formation of the forebrain between sons with idiopathic ASD and their unaffected fathers in thirteen families. Alterations in the transcriptome suggest that ASD pathogenesis in macrocephalic and normocephalic probands involves an opposite disruption of the balance between the excitatory neurons of the dorsal cortical plate and other lineages such as the early-generated neurons from the putative preplate. The imbalance stemmed from a divergent expression of transcription factors driving cell fate during early cortical development. While we did not find probands’ genomic variants explaining the observed transcriptomic alterations, a significant overlap between altered transcripts and reported ASD risk genes affected by rare variants suggests a degree of gene convergence between rare forms of ASD and developmental transcriptome in idiopathic ASD.	37/37	Primary Analysis	Shared
ASD modelling in organoids reveals imbalance of excitatory cortical neuron subtypes during early neurogenesis	There is no clear genetic etiology or convergent pathophysiology for autism spectrum disorders (ASD). Using induced pluripotent stem cell (iPSC)-derived brain organoids and single-cell transcriptomics, we modeled alterations in the formation of the forebrain between sons with ASD and their unaffected fathers in ten families. Relative to fathers, probands with macrocephaly presented an increase in dorsal cortical plate excitatory neurons (EN-DCP) to the detriment of preplate lineages, whereas normocephalic ASD probands presented an opposite decrease in EN-DCP-related gene expression. Both cohorts converged in a dysregulation of outer radial glia genes related to translation. In macrocephalic probands, an increase in progenitor self-renewal genes ID1/ID3 was coupled to a larger pool of cortical progenitors. Furthermore, changes in ID1/ID3 expression were best predictors of ASD clinical severity. We suggest that head circumference reveals a fundamental difference in etiological mechanisms of ASD rooted in alterations in progenitor fate and unbalanced excitatory cortical neuron diversity.	28/28	Primary Analysis	Shared
Clonally selected lines after CRISPR/Cas editing are not isogenic	The CRISPR-Cas9 system has enabled researchers to precisely modify/edit the sequence of a genome. A typical editing experiment consists of two steps: (i) editing cultured cells; (ii) cell cloning and selection of clones with and without intended edit, presumed to be isogenic. The application of CRISPR-Cas9 system may result in off-target edits, while cloning will reveal culture-acquired mutations. We analyzed the extent of the former and the latter by whole genome sequencing in three experiments involving separate genomic loci and conducted by three independent laboratories. In all experiments we hardly found any off-target edits, while detecting hundreds to thousands of single nucleotide mutations unique to each clone after relatively short culture of 10-20 passages. Notably, clones also differed in copy number alterations that were several kb to several mb in size and represented the largest source of genomic divergence among clones. We suggest that screening of clones for mutations and copy number alterations acquired in culture is a necessary step to allow correct interpretation of DNA editing experiments. Furthermore, since culture associated mutations are inevitable, we propose that experiments involving derivation of clonal lines should compare a mix of multiple unedited lines and a mix of multiple edited lines.	2/2	Secondary Analysis	Shared
SCELLECTOR – ranking amplification bias in single cells using shallow sequencing	The study of mosaic mutation is important since it has been linked to cancer and various disorders. Single cell sequencing has become a powerful tool to study the genome of individual cells for the detection of mosaic mutations. The amount of DNA in a single cell needs to be amplified before sequencing and MDA (Multiple Displacement Amplification) is widely used owing to its low error rate and long fragment length of amplified DNA. However, the phi29 polymerase used in MDA is sensitive to template fragmentation and presence of sites with DNA damage that can lead to biases such as allelic imbalance, uneven coverage and over representation of C to T mutations. It is therefore important to select cells with uniform amplification to decrease false positives and increase sensitivity for mosaic mutation detection. We propose a method, Scellector (single cell selector), which uses haplotype information to detect amplification quality in shallow coverage sequencing data. We tested Scellector on single human neuronal cells, obtained in vitro and amplified by MDA. Qualities were estimated from shallow sequencing with coverage as low as 0.3X per cell and then confirmed using 30X deep coverage sequencing. The high concordance between shallow and high coverage data validated the method. Scellector can potentially be used to rank amplifications obtained from single cell platforms relying on a MDA-like amplification step, such as Chromium Single Cell profiling solution.	1/1	Primary Analysis	Shared

* Data not on individual level

helpcenter.collection.associated-studies-tab

Collection - Associated Studies

Clicking on the Study Title will open the study details in a new internet browser tab. The Abstract is available for viewing, providing the background explanation of the study, as provided by the Collection Owner.

Primary v. Secondary Analysis: The Data Usage column will have one of these two choices. An associated study that is listed as being used for Primary Analysis indicates at least some and potentially all of the data used was originally collected by the creator of the NDA Study. Secondary Analysis indicates the Study owner was not involved in the collection of data, and may be used as supporting data.

Private v. Shared State: Studies that remain private indicate the associated study is only available to users who are able to access the collection. A shared study is accessible to the general public.

Frequently Asked Questions

How do I associate a study to my collection?

Studies are associated to the Collection automatically when the data is defined in the Study.

Glossary

Associated Studies Tab

A tab in a Collection that lists the NDA Studies that have been created using data from that Collection including both Primary and Secondary Analysis NDA Studies.

Contact NDA Help Desk

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