Data from: Defining housekeeping genes suitable for RNA-seq analysis of the human allograft kidney biopsy tissue
Internal Dataset

UID: 80

Author(s): Wang, Zijie, Randhawa, Parmjeet*+ * Corresponding Author + University of Pittsburgh Author
This study used nine different normalization methods to derive housekeeping genes from a RNA-seq data set of 47,611 transcripts derived from 30 biopsies. The biopsies were collected in a variety of clinical settings, with 5 replicates each: normal function, acute tubular injury, acute rejection, interstitial nephritis, interstitial fibrosis/tubular atrophy, and polyomavirus nephropathy. Transcripts with coefficient of variation below the 2nd percentile were designated as housekeeping genes, and validated by showing their virtual absence in diseased allograft derived transcriptomic data.
Geographic Coverage
Pittsburgh, Pennsylvania
Subject of Study
Population Age
Subject Sex
Access via GEO

Expression profiling by high throughput sequencing.
Accession #: GSE120495

Access via SRA

Raw data for 30 samples.
Accession #: SRP162632

Access via BioProject

Overall project information and data.
Accession #: PRJNA493201

Access Restrictions
Free to all
Access Instructions
The NCBI Gene Expression Omnibus, Sequence Read Archive, and BioProject databases provide open access to these files.
Associated Publications
Data Type
Equipment Used
Ion Torrent Proton
Software Used
Ingenuity Pathway Analysis
Dataset Format(s)
SOFT (.soft), MINiML (.miniml, .xml), XLS (.xls, .xlsx, .xlm, .xlsm), TXT (.txt)
Resource Type(s)
Data Catalog Record Updated

Notice and Disclaimer: Please note that the information in this catalog is provided as a courtesy, as is, and with no representations or warranties of any kind. When you contact the responsible individual(s) listed in each record, or, where applicable, access a data repository listed, you will be subject to terms and conditions required by the data custodian/data repository. The University of Pittsburgh does not attempt to judge the scholarly quality of the data referenced and relies on the judgment and research expertise of those who created and/or deposited it.