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Series GSE95611 Query DataSets for GSE95611
Status Public on Apr 27, 2017
Title The effect of cortex/medulla proportions on molecular diagnoses in kidney transplant biopsies: rejection and injury can be assessed in medulla
Organism Homo sapiens
Experiment type Expression profiling by array
Summary Histologic assessment of kidney transplant biopsies relies on cortex rather than medulla, but for microarray studies, the proportion cortex in a biopsy is typically unknown and could affect the molecular readings. The present study aimed to develop a molecular estimate of proportion cortex in biopsies and examine its effect on molecular diagnoses. Microarrays from 26 kidney transplant biopsies divided into cortex and medulla components and processed separately showed that many of the most significant differences were in glomerular genes e.g. NPHS2, NPHS1, CLIC5, PTPRO, PLA2R1, PLCE1, PODXL and REN. Using NPHS2 (podocin) to estimate proportion cortex, we examined whether proportion cortex influenced molecular assessment in the Molecular Microscope Diagnostic System. In 1190 unselected kidney transplant indication biopsies (Clinicaltrials.govNCT01299168), only 11% had <50% cortex. Molecular scores for ABMR, TCMR, and injury were independent of proportion cortex. Rejection was diagnosed in many biopsies that were mostly or all medulla. Agreement in molecular diagnoses in paired cortex/medulla samples (23/26) was similar to biological replicates (32/37). We conclude that NPHS2 expression can estimate proportion cortex; that proportion cortex has little influence on molecular diagnosis of rejection, and that, although histology cannot assess medulla, rejection does occur in medulla as well as cortex.
 
Overall design We studied 26 pairs of cortex/medulla biopsies from 26 patients (4 unpaired), characterizing the clinical and histological features, and defined the mRNA phenotype with Affymetrix expression microarrays. We also studied 37 pairs of biopsies from biological replicates and 12 pairs from technical replicates.
 
Contributor(s) Madill-Thomsen KS
Citation(s) 28226404
Submission date Mar 02, 2017
Last update date Aug 23, 2018
Contact name Jessica Chang
E-mail(s) jjchang@ualberta.ca
Organization name University of Alberta
Department Medicine
Lab ATAGC
Street address 250 Heritage Medical Research Centre
City Edmonton
ZIP/Postal code T6G 2S2
Country Canada
 
Platforms (1)
GPL15207 [PrimeView] Affymetrix Human Gene Expression Array
Samples (154)
GSM2518063 kidney biopsy M1
GSM2518064 kidney biopsy M2
GSM2518065 kidney biopsy M3
Relations
BioProject PRJNA377667

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE95611_RAW.tar 303.9 Mb (http)(custom) TAR (of CEL)
GSE95611_log2_rma_matrix.txt.gz 39.6 Mb (ftp)(http) TXT
Processed data included within Sample table
Processed data are available on Series record

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