Seqanswers Leaderboard Ad

Collapse

Announcement

Collapse
No announcement yet.
X
 
  • Filter
  • Time
  • Show
Clear All
new posts

  • CuffDiff 0 FPKM Output/Incorrectly Identified Differential Expression?

    I’m having some problems with CuffDiff – or rather, the output I am getting is completely baffling to me. I believe the program is incorrectly identifying genes as differentially expressed due to an error.

    I have three conditions that I am testing – we’ll call them GG, AG, and AA. For Condition GG, I have 2 samples, for Condition AG, I have 3 samples, and for Condition AA, I have 5 samples. When I run CuffDiff, I get a list of differentially expressed genes with q-values less than 0.05. However, when I actually examine the FPKMs for my genes, I see results like this:

    GG: 0 (OK)
    AG: 11.6888 (OK)
    AA: 10.7249 (OK)

    In this instance, CuffDiff reported GG as being differentially expressed relative to AG, and GG as being differentially expressed relative to AA.

    Viewing my reads in IGV, however, I see MANY reads for this gene in ALL conditions and samples. I cannot understand why my FPKMs are 0. I have also calculated the RPKM values for this gene’s transcripts using SeqGene, as a “quality control” of sorts. When I do this, all RPKMs for this gene are > 1; a representative transcript has RPKM values like this:

    GG: 2.31, 2.04
    AG: 2.63, 2.59, 2.5
    AA: 2.32, 2.15, 2.42, 2.33, 3.02

    For my pipeline, I am usingTophat to map reads and find splice junctions, followed by Cufflinks to find novel transcripts, CuffMerge to merge these novel transcripts together with a reference genome as guide, and CuffDiff to identify differences in transcript expression. For reference, here is a summary of the calls I’ve made (from most to least recent).

    CuffDiff:
    Code:
    bsub -P Lithium -q iweek -R rusage[mem=8] -R span[hosts=1] -n 4 -o /psych/neuro/people/wright/Project_3_RNASeq/01_RNASeq_Analysis/07_CuffDiff_10.19.2011_01/output.txt cuffdiff -o /psych/neuro/people/wright/Project_3_RNASeq/01_RNASeq_Analysis/07_CuffDiff_10.19.2011_01 -p 12 -L AG,GG,AA /psych/neuro/people/wright/Project_3_RNASeq/01_RNASeq_Analysis/06_CuffMerge_10.19.2011_02/merged.gtf /psych/neuro/people/wright/Project_3_RNASeq/01_RNASeq_Analysis/03_TophatTest_10.12.2011_11/FastQDemultiplexed_TGTGTG_1/accepted_hits.bam,/psych/neuro/people/wright/Project_3_RNASeq/01_RNASeq_Analysis/03_TophatTest_10.12.2011_11/FastQDemultiplexed_GAGAGA_1/accepted_hits.bam,/psych/neuro/people/wright/Project_3_RNASeq/01_RNASeq_Analysis/03_TophatTest_10.12.2011_11/FastQDemultiplexed_ACACAC_1/accepted_hits.bam /psych/neuro/people/wright/Project_3_RNASeq/01_RNASeq_Analysis/03_TophatTest_10.12.2011_11/FastQDemultiplexed_CTCTCT_1/accepted_hits.bam,/psych/neuro/people/wright/Project_3_RNASeq/01_RNASeq_Analysis/03_TophatTest_10.12.2011_11/FastQDemultiplexed_TGTGGA_1/accepted_hits.bam /psych/neuro/people/wright/Project_3_RNASeq/01_RNASeq_Analysis/03_TophatTest_10.12.2011_11/FastQDemultiplexed_GAGAAC_1/accepted_hits.bam,/psych/neuro/people/wright/Project_3_RNASeq/01_RNASeq_Analysis/03_TophatTest_10.12.2011_11/FastQDemultiplexed_ACACCT_1/accepted_hits.bam,/psych/neuro/people/wright/Project_3_RNASeq/01_RNASeq_Analysis/03_TophatTest_10.12.2011_11/FastQDemultiplexed_CTCTTG_1/accepted_hits.bam,/psych/neuro/people/wright/Project_3_RNASeq/01_RNASeq_Analysis/03_TophatTest_10.12.2011_11/FastQDemultiplexed_CTTGTG_1/accepted_hits.bam,/psych/neuro/people/wright/Project_3_RNASeq/01_RNASeq_Analysis/03_TophatTest_10.12.2011_11/FastQDemultiplexed_TGGAGA_1/accepted_hits.bam
    CuffMerge:
    Code:
    cuffmerge -o /psych/neuro/people/wright/Project_3_RNASeq/01_RNASeq_Analysis/06_CuffMerge_10.19.2011_02 -g /psych/neuro/people/wright/Project_3_RNASeq/Homo_sapiens/UCSC/hg19/Annotation/Genes/genes.gtf -s /psych/neuro/people/wright/Project_3_RNASeq/Homo_sapiens/UCSC/hg19/Sequence/WholeGenomeFasta/genome.fa /psych/neuro/people/wright/Project_3_RNASeq/01_RNASeq_Analysis/02_DeMultiplexingCode/F_02_FileForTestMerging.txt
    Where FileForTestMerging looked like this:
    Code:
    /psych/neuro/people/wright/Project_3_RNASeq/01_RNASeq_Analysis/04_Cufflinks_10.18.2011_09/FastQDemultiplexed_ACACAC_1/transcripts.gtf
    /psych/neuro/people/wright/Project_3_RNASeq/01_RNASeq_Analysis/04_Cufflinks_10.18.2011_09/FastQDemultiplexed_ACACCT_1/transcripts.gtf
    /psych/neuro/people/wright/Project_3_RNASeq/01_RNASeq_Analysis/04_Cufflinks_10.18.2011_09/FastQDemultiplexed_CTCTCT_1/transcripts.gtf
    /psych/neuro/people/wright/Project_3_RNASeq/01_RNASeq_Analysis/04_Cufflinks_10.18.2011_09/FastQDemultiplexed_CTCTTG_1/transcripts.gtf
    /psych/neuro/people/wright/Project_3_RNASeq/01_RNASeq_Analysis/04_Cufflinks_10.18.2011_09/FastQDemultiplexed_CTTGTG_1/transcripts.gtf
    /psych/neuro/people/wright/Project_3_RNASeq/01_RNASeq_Analysis/04_Cufflinks_10.18.2011_09/FastQDemultiplexed_GAGAAC_1/transcripts.gtf
    /psych/neuro/people/wright/Project_3_RNASeq/01_RNASeq_Analysis/04_Cufflinks_10.18.2011_09/FastQDemultiplexed_GAGAGA_1/transcripts.gtf
    /psych/neuro/people/wright/Project_3_RNASeq/01_RNASeq_Analysis/04_Cufflinks_10.18.2011_09/FastQDemultiplexed_TGGAGA_1/transcripts.gtf
    /psych/neuro/people/wright/Project_3_RNASeq/01_RNASeq_Analysis/04_Cufflinks_10.18.2011_09/FastQDemultiplexed_TGTGGA_1/transcripts.gtf
    /psych/neuro/people/wright/Project_3_RNASeq/01_RNASeq_Analysis/04_Cufflinks_10.18.2011_09/FastQDemultiplexed_TGTGTG_1/transcripts.gtf
    Cufflinks:
    Code:
    bsub -P Lithium -q iweek -o /psych/neuro/people/wright/Project_3_RNASeq/01_RNASeq_Analysis/04_Cufflinks_10.18.2011_09/FastQDemultiplexed_ACACAC_1/output.txt cufflinks -o /psych/neuro/people/wright/Project_3_RNASeq/01_RNASeq_Analysis/04_Cufflinks_10.18.2011_09/FastQDemultiplexed_ACACAC_1 -g /psych/neuro/people/wright/Project_3_RNASeq/Homo_sapiens/UCSC/hg19/Annotation/Genes/genes.gtf /psych/neuro/people/wright/Project_3_RNASeq/01_RNASeq_Analysis/03_TophatTest_10.12.2011_11/FastQDemultiplexed_ACACAC_1/accepted_hits.bam
    Tophat (one of 10 calls):
    Code:
    bsub -P Lithium -q iweek -R rusage[mem=8] -R span[hosts=1] -n 4 -o /psych/neuro/people/wright/Project_3_RNASeq/01_RNASeq_Analysis/03_TophatTest_10.12.2011_11/FastQDemultiplexed_CTTGTG_1.txt tophat -o /psych/neuro/people/wright/Project_3_RNASeq/01_RNASeq_Analysis/03_TophatTest_10.12.2011_11/FastQDemultiplexed_CTTGTG_1 -p 4 -a 5 -F 0.0 -r 100 --segment-length 20 /psych/neuro/people/wright/Project_3_RNASeq/hg19-male /psych/inf/cwright/05_DemultiplexedFastQFiles/FastQDemultiplexed_CTTGTG_1.fq /psych/inf/cwright/05_DemultiplexedFastQFiles/FastQDemultiplexed_CTTGTG_2.fq
    Any thoughts, help, comments on the CuffDiff output (or suggestions on the pipeline, for that matter) would be greatly appreciated!

  • #2
    Does your gene have another isoform that could be taking all the reads? Cufflinks considers isoform abundance in its FPKM calculations, so that might have something to do about it.

    Comment


    • #3
      I got the similar problems. For some genes without isoforms, cufflinks or cuffdiff estimate 0 FPKM, but the real case is they are expressed high.

      Comment


      • #4
        Thanks! What has everyone doing to deal with these false positives? Just filtering out genes which have FPKMs of 0 for one of the conditions?

        (I also understand from a different thread - http://seqanswers.com/forums/showthread.php?t=14864 - that the tuxedo group is planning to address some of these issues in their upcoming version 1.2.0... anyone know when this is expected to come out?)

        Comment


        • #5
          The problem still exist for cufflinks version 2.2.1. I checked One example that one gene without any reads hit, be reported FPKM 0. However, not all genes without any reads hit were reported. How to explain?

          Comment

          Latest Articles

          Collapse

          • seqadmin
            Essential Discoveries and Tools in Epitranscriptomics
            by seqadmin




            The field of epigenetics has traditionally concentrated more on DNA and how changes like methylation and phosphorylation of histones impact gene expression and regulation. However, our increased understanding of RNA modifications and their importance in cellular processes has led to a rise in epitranscriptomics research. “Epitranscriptomics brings together the concepts of epigenetics and gene expression,” explained Adrien Leger, PhD, Principal Research Scientist...
            04-22-2024, 07:01 AM
          • seqadmin
            Current Approaches to Protein Sequencing
            by seqadmin


            Proteins are often described as the workhorses of the cell, and identifying their sequences is key to understanding their role in biological processes and disease. Currently, the most common technique used to determine protein sequences is mass spectrometry. While still a valuable tool, mass spectrometry faces several limitations and requires a highly experienced scientist familiar with the equipment to operate it. Additionally, other proteomic methods, like affinity assays, are constrained...
            04-04-2024, 04:25 PM

          ad_right_rmr

          Collapse

          News

          Collapse

          Topics Statistics Last Post
          Started by seqadmin, 04-11-2024, 12:08 PM
          0 responses
          59 views
          0 likes
          Last Post seqadmin  
          Started by seqadmin, 04-10-2024, 10:19 PM
          0 responses
          57 views
          0 likes
          Last Post seqadmin  
          Started by seqadmin, 04-10-2024, 09:21 AM
          0 responses
          52 views
          0 likes
          Last Post seqadmin  
          Started by seqadmin, 04-04-2024, 09:00 AM
          0 responses
          56 views
          0 likes
          Last Post seqadmin  
          Working...
          X