Differential expression data

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Wen-Ching Wang

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Aug 9, 2016, 12:12:52 PM8/9/16
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Dear Sir:

 

I am trying to examine the differential expression profiles between cancer and normal samples across various types of cancer for a few given genes as reported in (Gnad et al. BMC Genomics 2015, 16(Suppl 8):S5 http://www.biomedcentral.com/1471-2164/16/S8/S5). In this paper, they retrieved TCGA RNAseq raw reads and the comparison was made as shown in Figure 5 (below).

 

In the current cbioportal, there is an expression plot that shows Gene X Expression- RNA Seq V2 (log). Is this plot showing the differential expression profile or only the expression data of the cancer tissues? If it is the latter, could you please kindly suggest how can I perform such an analysis?

 

Many thanks.

 

Sincerely yours,

Wen-Ching

 

Dr. Wen-Ching Wang 王雯靜, Ph.D.

Department of Life Science &

Institute of Molecular and Cellular Biology

National Tsing Hua University, Taiwan

101, Sec. 2, Kuang- Fu Road

Hsinchu, 30013, Taiwan

新竹市光復路二段101

清華大學生科二館

Tel: 886-3-5742766

Fax: 886-3-5715934

E-mail: wcw...@life.nthu.edu.tw

 

Materials and methods:

To identify differential gene expression between tumors

and healthy tissues, TCGA RNAseq raw reads were

downloaded for available tumor types (BLCA, BRCA,

COAD, KICH, KIRC, LUAD, LUSC, STAD, TCHA,

UCEC) and processed by our GSNAP [43] based transcriptome

analysis pipeline [44]. RNAseq data for both

tumors and healthy tissues were not available for GBM,

LAML and OV. RNAseq reads were first aligned to ribosomal

RNA sequences to remove ribosomal reads.

Remaining reads were aligned to the human reference

genome (NCBI Build 37) using GSNAP version 2012-01-

11, allowing maximum of 2 mismatches per 75 base

sequence (parameters: -M 2 -n 10 -B 2 -i 1 -N 1 -w

200000 -E 1 pairmax-rna = 200000). Gene expression

was quantified with RPKM values (reads mapping to a

gene per kilobase of transcript per million reads

sequenced) and variance stabilized counts derived from

the number of reads mapped to each RefSeq gene. The

DESeq R package [45] was applied to estimate size factors,

obtain dispersion estimates, and measure differential

gene expression between tumors and healthy tissues

using default parameters. Results were reported as fold

changes and associated adjusted p-values. In addition to

DESeq based negative binomial generalized linear models

for differential expression significance, we defined genes

with tumor exclusive expression (genes that are

expressed in tumors but not in healthy tissues), if their

90% quantile expression levels in all healthy tissues were

equal to the expression levels of pseudo counts, but minimum

1 RPKM in the tumors of at least one cancer type.

 

image001.png

Hsiao-Wei Chen

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Aug 16, 2016, 4:33:31 PM8/16/16
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Hi Wen-Ching,

     The gene expression plot (Gene X Expression - RNA Seq V2(log)) on the current portal is only for the tumor samples, not including normal samples. We may add normal data in the future on our portal. 

     To get the expression plot for certain TCGA cancer types on cBioPortal (http://www.cbioportal.org/), you may search tcga in the "Select Cancer Study" query box, select the TCGA datasets of interest, enter your gene list in the text area below, and submit. You will see the "Expression" tab in the next page, and the expression plot is over there. 
Hope this is what you're asking for, if not, please let us know (an example is as attached). 

Thank you,
Annice  

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Hsiao-Wei Chen

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Aug 16, 2016, 4:33:32 PM8/16/16
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Here is the attachment for last email. Thanks! Annice

On Tue, Aug 16, 2016 at 12:01 PM, Hsiao-Wei Chen <wei...@gmail.com> wrote:
Hi Wen-Ching,

     The gene expression plot (Gene X Expression - RNA Seq V2(log)) on the current portal is only for the tumor samples, not including normal samples. We may add normal data in the future on our portal. 

     To get the expression plot for certain TCGA cancer types on cBioPortal (https://cbioportal.mskcc.org/), you may search tcga in the "Select Cancer Study" query box, select the TCGA datasets of interest, enter your gene list in the text area below, and submit. You will see the "Expression" tab in the next page, and the expression plot is over there. 
Hope this is what you're asking for, if not, please let us know (an example is as attached). 

Thank you,
Annice  
On Tue, Aug 9, 2016 at 7:51 AM, Wen-Ching Wang <wcw...@life.nthu.edu.tw> wrote:

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cross-cancer-plots.pdf
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