Products

Data or Databases

Deidentified Psychiatric Intake Notes

A data repository containing 1,000 deidentified and annotated psychiatric intake notes developed and used for the RDoC Natural Language Processing Challenge and Workshop will be available from the N-GRID and DBMI websites in November 2017 (after participants have been allowed exclusive use for a period of one year following the Workshop). This dataset contains information about patients' medical and psychiatric histories, drug and alcohol use, family history, current living situations, and other information potentially relevant to their psychiatric problems. The corpus contains 1,862,452 tokens.

Genome-wide Datasets from Greenberg Lab

  1. RNA-seq datasets from iPSC-derived human cortical neurons depolarized for 0, 0.25, and 2 hours with 55 mM KCI.
  2. ChIP-seq datasets for the lysine27-acetylated form of histone H3 (H3K27ac) from iPSC-derived human cortical neurons depolarized for 0, 0.25, and 2 hours with 55 mM KCI.
  3. ChIP-seq datasets for CREB from iPSC-derived human cortical neurons.
  4. ChIP-seq datasets for the active serine133-phosphorylated form of CREB from iPSC-derived human cortical neurons depolarized for 0 and 15 minutes with 55 mM KCI.
  5. ChIP-seq datasets for CRTC1 from iPSC-derived human cortical neurons depolarized for 0 and 15 minutes with 55 mM KCI.

Gene Expression Omnibus (GEO) Database

The following data deposits may be found at GEO Accession GSE78688:

  • RNA-seq data obtained from primary human cortical cultures depolarized for 0, 1, and 6 hours
  • ChIP-seq data obtained from primary human cortical cultures using H3K4me1-, H3K4me3-, and H3K27ac-specific antibodies

 

Technologies or Techniques

Research Material

140 fibroblast and iPS lines have been deposited to the Rutgers University Cell and DNA Repository (RUCDR) for access by the research community.

Model

Expression–Phenotype Explorer is an online platform that can be used to project a set of genes in cross-tissue expression space to identify the tissue most strongly associated with the genes.