The 19.3 Data Release includes single-nucleus and bulk RNAseq data from fresh brain tissue generated by the MCMPS Study, bulk RNAseq data from an ABi3(-/-) mouse model in the UFLOR_ABI3_GNGT2 Study, gene expression and phenotype data from the ADAMTS7 Study of longevity-associated variants in human cohorts, updates to several existing AD Portal studies, and more! Please note the following includes contributions from both February and March 2022.

Human

  • The MCMPS Study

    This study identifies microglial transcriptomic signatures in fresh brain tissue obtained from 25 unique patients undergoing neurosurgical procedures for epilepsy or tumor resection. This release provides:

    • Raw, processed, and normalized bulk RNAseq data from bulk brain tissue and sorted microglia
    • Raw 10x snRNAseq data from microglia cells

  • The ROSMAP Study

    This study provides genomics, transcriptomic, epigenetic, proteomic, and metabolomic data on individuals as part of the Religious Orders Study (ROS) and the Memory and Aging Project (MAP) enrolled by the Rush Alzheimer’s Disease Center.

    • Incorrectly merged fastq files from the third batch of monocyte RNAseq samples were deprecated and replaced with the original unmerged fastq files for those samples. Details can be found in the Gene Expression (RNAseq – monocyte) methods description on the Portal study page.

  • The RNAseq_Harmonization Study

    This study is a release of RNA sequencing data from the ROSMAP, MSBB, and MayoRNAseq studies that has been processed using a common workflow. The study is an extension of the rnaSeqReprocessing study, but uses the GRCh38 reference genome for sequence alignment.

    • This release updates the acknowledgement statement and citation instructions for re-use of reprocessed data from this study.

  • The ADAMTS7 Study

    This study investigated whether candidate genes linked to Longevity-Associated Variants (LAVs) are associated with multiple aging-related traits and diseases. 

    • This release provides genetically-predicted tissue-specific gene expression data and phenotypes from three human cohort studies of elderly participants: MrOS, SOF, and Health ABC.

  • The AgingPheWAS Study

    This study provides a web application to identify compelling targets for longevity translation by identifying genes associated with multiple aging-related traits. 

    • This release adds analysis output of genetically-predicted gene expression associations with multiple aging-related traits that was produced from software to impute gene expression from GWAS meta-analysis results.

Models

  • The UFLOR_ABI3_GNGT2 Study

    This study provides bulk brain RNAseq data from 24 individual ABi3(-/-) mice sampled at 3 months of age.