ZSF1: Integrated and Interactive RNA-seq Analysis Report
Overview
It provides the QC metrics and expression tables, including overall read mapping statistics, QC report for each sample, interactive gene expression visualization and analytical tools to gain insights about the data. Please click
for interactive plots.

Methods
Glomerular enriched tissue was isolated by mechanical sieving of kidney cortex using an established protocol. Briefly, fresh cortex tissue (approximately one and a half kidneys per animal) was passed through a serial stack of mesh filters of 180, 106, and 75μ pore size. An optimal yield and enrichment of glomeruli was obtained by gently forcing cortex tissue through the 180μ mesh with the flat end of a 30 mL syringe plunger, followed by gravity flow collection on the lower mesh sizes with large volume PBS rinses. Materials trapped on the 106μ and 75μ mesh filters were collected in PBS by gentle flushing towards and aspiration from the edge of the mesh filter, combined, and placed back on a clean 75μ mesh for additional large volume PBS rinses and final collection. The material was then pelleted, resuspended in Qiazol (Qiagen Cat# 79306), and stored at -80°C prior to RNA isolation. Total RNA was isolated for all samples after study termination on the same day using miRNeasy RNA isolation kits (Qiagen Cat# 217004) on a Qiacube instrument (Qiagen). For all samples, RNA quality and integrity was confirmed on an Agilent 2100 bioanalyzer. RNA sequencing was performed on oligo(dT) purified poly(A)+ mRNA. A standard TruSeq mRNA library was constructed using TruSeq RNA Sample Prep Kit v2 (Illumina, Cat.# RS-122-2001). The library was sequenced by Illumina HiSeq 2000 using a paired-end run (2×100 bases). After sequencing, 40M 217 100 bp pair-end reads were generated for downstream analysis.
Parallel Plot of QC

Expression Tables
Raw Data Files
sample.annotation.txt | sample annotation file |
star-mapping-summary.txt | read mapping summary for STAR run |
fc-counting-summary.txt | read counting summary for featureCounts run |
RSeQC-read-distribution.txt | The distribution of mapped reads along gene elements |
Gene-count-table.txt | counting table |
Gene-count-table.flt.txt | filtered counting table. A gene is filtered if having 0 read in more than 50% samples |
Gene-fpkm-table.txt | RPKM table, calculated from Gene-count-table.txt |
Gene-fpkm-table.flt.txt | filtered RPKM table, calculated from Gene-count-table.flt.txt |
RNASeq-expr-QC.txt | correlation based QC of expression profile |
RNASeq-expr-corr.txt | All-against-all gene expression correlation matrix |
RNASeq-snp-corr.txt | All-against-all SNP correlation matrix |
RNASeq-merged-metrics.txt | Merged RNA-seq metrics from mapping, counting, distribution and QC |
read_map_sum.10x7.png | plot of star-mapping-summary.txt. Intended for powerpoint presentation. |
read_map_sum.png | plot of star-mapping-summary.txt. Intended for interactive HTML presentation. |
read_count_sum.10x7.png | plot of fc-counting-summary.txt. Intended for powerpoint presentation. |
read_count_sum.png | plot of fc-counting-summary.txt. Intended for interactive HTML presentation. |
read_dist_sum.10x7.png | plot of RSeQC-read-distribution.txt. Intended for powerpoint presentation. |
read_dist_sum.png | plot of RSeQC-read-distribution.txt. Intended for interactive HTML presentation. |
expr_count_RPKM.10x7.png | plot the number of genes with a give RPKM cutoff. Intended for powerpoint presentation. |
expr_count_RPKM.png | plot the number of genes with a give RPKM cutoff. Intended for interactive HTML presentation. |
RNASeq-expr-corr.txt.corr.9x7.png | correlation plot for RNASeq-expr-corr.txt.Intended for powerpoint presentation. |
RNASeq-expr-corr.txt.corr.png | correlation plot for RNASeq-expr-corr.txt.Intended for interactive HTML presentation. |
RNASeq-snp-corr.txt.corr.9x7.png | correlation plot for RNASeq-snp-corr.txt.Intended for powerpoint presentation. |
RNASeq-snp-corr.txt.corr.png | correlation plot for RNASeq-snp-corr.txt |
References
[1] Dower K, Zhao S, Schlerman FJ, Savary L, Campanholle G, Johnson BG, Xi L, Nguyen V, Zhan Y, Lech MP, Wang J, Nie Q, Karsdal MA, Genovese F, Boucher G, Brown TP, Zhang B, Homer BL, Martinez RV. High resolution molecular and histological analysis of renal disease progression in ZSF1 fa/faCP rats, a model of type 2 diabetic nephropathy. PLoS One. 2017 Jul 26;12(7):e0181861.
[2] Nils Gehlenborg, Nozzle.R1 Package (2013)