Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • billstevens
    Senior Member
    • Mar 2012
    • 120

    #1

    Papers with just RNA-Seq data

    Hi guys,

    So I'm a grad student who really wants to graduate. Truly, that is all I want. I am tired of being here. I badly need a publication to do so.

    I have five biological replicates of RNA-Seq data. I aligned with TopHat and I used DESeq to come up with differential expression. The most important cytokine that I thought was interesting had a 20 fold change difference in RNA data (2000 counts versus 100). So I did the same experiment with an ELISA. It did not show up as differentially expressed. I suppose there are all sorts of reasons for this: post-transcriptionally it does something, maybe the cytokines are ABOUT to be translated, maybe the cytokines have been translated but haven't left the cell into the media yet.

    However, I'm tired and sad. I'm trying qPCR on a few genes, including the important one. If they come out ok, is that enough for a publication? Do people publish with JUST RNA-Seq data? I'm the only one in my lab who's doing this stuff, and I want to be done with it. Please, please, any and all advice would be greatly appreciated.
  • jimmybee
    Senior Member
    • Sep 2010
    • 119

    #2
    Originally posted by billstevens View Post
    However, I'm tired and sad. I'm trying qPCR on a few genes, including the important one. If they come out ok, is that enough for a publication? Do people publish with JUST RNA-Seq data? I'm the only one in my lab who's doing this stuff, and I want to be done with it. Please, please, any and all advice would be greatly appreciated.
    You should really discuss this with your supervisor or at least someone in your lab who has a good background in what you have been doing. I don't think anyone here could give you any direction with only minor background information.

    Comment

    • honey
      Senior Member
      • Feb 2010
      • 151

      #3
      RNA-seq

      billstevens,
      Dont give up. Take it as a learning step. I dont know much of your labs focus however, I believe Confirm a bunch of genes by RT PCR, then show with few immunofluoresence/ western or something like that and then do the pathway analysis and focus on your hypothesis. That may work to certain level.
      Good luck

      Comment

      • JackieBadger
        Senior Member
        • Mar 2009
        • 385

        #4
        I have never heard of a publication being a requirement to get a degree. Write your thesis and graduate if that's all you want to do.

        Comment

        • masterpiece
          Member
          • Mar 2009
          • 40

          #5
          JackieBadger,

          Nowdays, more and more universities required student to publish at least a paper as a requirement for the student to graduate. Same thing happen in a lot of places, for example in China.

          China is on course to overtake America in scientific output possibly as soon as 2013, far earlier than expected, a UK study suggests.


          billsteven,

          I might be wrong, from my knowledge I haven't seen yet any paper publish DE analysis with just RNAseq data. My suggestion you can try qPCR at least several candidate of genes. I pretty sure you can get some of them corresponding to your RNAseq data.

          wish u all the best!!!

          Comment

          • magnoseq
            Junior Member
            • Sep 2012
            • 1

            #6
            You can publish with just RNA seq data provided you validate at least 10 genes that are up or down-regulated from your data set. Validate your genes by qRT-PCR. Hope this helps!

            Comment

            • mbblack
              Senior Member
              • Aug 2009
              • 245

              #7
              err, so what was the point of this experiment in the first place? Surely that should guide you as to what points you wish to make with the data?

              Of course you can publish a paper with just RNA-Seq data. People have been publishing papers with just array data for many years (or just isozyme data, or just RFLP data, or whatever). The point of a publication is to pose an interesting scientific question, and attempt to answer it with the data in hand. If your question is one that can be addressed with just your RNA-Seq data, then write it up.

              Publishing data just for the sake of justifying having generated it in the first place is not a strategy for success. Publishing data because it provides valuable insight into some biologically interesting question will be a much simpler to put to paper as the question itself will guide you to how to analyze and present the data.

              In other words, the easiest science to write up is query drive science, not data driven science (data in search of a question will always be a nightmare to write up).
              Michael Black, Ph.D.
              ScitoVation LLC. RTP, N.C.

              Comment

              Latest Articles

              Collapse

              • SEQadmin2
                Beyond CRISPR/Cas9: Understand, Choose, and Use the Right Genome Editing Tool
                by SEQadmin2



                CRISPR/Cas9 sparked the gene editing revolution for both research and therapeutics.1 But this system still showed severe issues that limited its applications. The most prominent were the heavy reliance on PAM sequences, delivery limitations, double-stranded breaks that prompt unintended edits and cell death, and editing inefficiency (both in targeting and in knock-in reliability).

                Despite this, “CRISPR helped turn genome editing from a specialized technique into
                ...
                07-31-2026, 11:01 AM
              • SEQadmin2
                Proteomic Platforms: How to Choose the Right Analytical Strategy to Improve Detection and Clinical Applications
                by SEQadmin2


                Proteomics platforms are evolving rapidly, with advances in mass spectrometry and affinity-based approaches expanding what researchers can detect and at what scale. As the field moves toward deeper proteome coverage and clinical applications, scientists face an increasingly complex landscape of tools. This article will explore how researchers are navigating these choices to find the right platform for their work.

                The systematic characterization of the human proteome has
                ...
                07-20-2026, 11:48 AM
              • SEQadmin2
                Advanced Sequencing Platforms Tackle Neuroscience’s Toughest Genomics Problems
                by SEQadmin2



                Genomics studies in neuroscience face a special challenge due to the brain’s complexity and scarcity of samples. Mapping changes in cell type and state using conventional next-generation sequencing methods remains challenging. Advances in technologies like single-cell sequencing, spatial transcriptomics, and long-read sequencing have opened the door to deeper studies of the brain and diseases like Alzheimer’s, amyotrophic lateral sclerosis (ALS), and schizophrenia.
                ...
                07-09-2026, 11:10 AM

              ad_right_rmr

              Collapse

              News

              Collapse

              Topics Statistics Last Post
              Started by SEQadmin2, 08-03-2026, 10:13 AM
              0 responses
              15 views
              0 reactions
              Last Post SEQadmin2  
              Started by SEQadmin2, 07-31-2026, 02:55 AM
              0 responses
              32 views
              0 reactions
              Last Post SEQadmin2  
              Started by SEQadmin2, 07-24-2026, 12:17 PM
              0 responses
              23 views
              0 reactions
              Last Post SEQadmin2  
              Started by SEQadmin2, 07-23-2026, 11:41 AM
              0 responses
              21 views
              0 reactions
              Last Post SEQadmin2  
              Working...