Hello all,

We had a teleconference today to discuss the feedback that we got from Nature. The next call will be in one week, Thursday 31st at 4pm CET. 

Action items:
    - Everyone: by next week's call, please think/discuss within your group what kind of future companion projects you are working or are planning to launch based on Geuvadis data/samples.
    - all who have added content to the wiki: please go through the material that you have there: delete outdated content, and if needed: add material and reorganize. Some missing content is tolerable, incorrect information is not. 

A brief summary of today's discussion:
- Manolis and myself have sent Nature's editor Magdalena Skipper a rebuttal letter to address the points raised by the reviewers, and the plan is to discuss with her soon. Let's hope that she will give us the chance to revise the paper after all - we think that there's a decent chance.
- On the call there was discussion of some of the most important questions that the reviewers raised and the potential improvements based on that (regardless of whether we'll resubmit to Nature or to another journal). Depending on what happens with Nature, I'll coordinate the details of the revisions later with the respective people.
    - Figure 1c raised questions but it's a pretty strong analysis already. Include the splicing manuscript in the next submission will show that we've worked on these questions in further depth
    - data access: from the Geuvadis browser we'll provide downloads of the full master files as well as regions. The Ensembl broswer where the bams can be visualized doesn't have a slicing functionality and it's well beyond our resources to start building that. Tuuli will provide Natalja with a list of the final master files of quantifications etc. that we'll want to share once the paper is out.
    - Jean is doing some additional analysis to estimate how robust the transcript variation statistics are to lowly expressed gene as well as lowly expressed transcripts of highly expressed genes.
    - In addition to transcript ratio QTLs, we could also do polyadenylation QTLs - Pedro has quantified these already, and it might add to the novelty of the paper and address the question of variation in transcript structure.
    - Regarding the robustness of the analysis, Peter had a good idea of taking the old eQTLs from April (different mapper, normalization and eQTL method, analysis by population) to show that the results are highly overlapping (I believe and hope that they are). We could also e.g. quantify 5 samples with Cufflinks and show that flux is similar but better, or map to personalized genomes, but we need to think very carefully how deep we want to get into these types of analyses and how we'd interpret the results before we do anything. Regarding allelic mapping bias, it should be enough if we just describe Tuuli's existing analysis better in the paper.
    - One of the reviewers suggested that dropping some of the analyses might improve the paper. I'm not keen to do that, but we'll discuss this with Magdalena and if she wants us to do that, that's what we'll do.
    - Gabrielle created a visitor read-only access to the wiki so that the reviewers can go and take a look.

So, now it's time to cross your fingers again and hope that our letter convinces Magdalena to reconsider the rejection. We'll let you know when have her decision.


best,
Tuuli





Tuuli Lappalainen, PhD
Department of Genetics, Stanford University School of Medicine , and
Department of Genetic Medicine and Development, University of Geneva
Email: tuuli.e.lappalainen@gmail.com / tlappala@stanford.edu
Tel: +1 415 351 9713
Bustamante lab
Department of Genetics
300 Pasteur Dr. Lane L301
Stanford, CA 94305-5120
USA
On /24/113 3:28 AM, Gabrielle Anne Bertier wrote:

Dear all,

 

Here are the details for the call:

 

TODAY -  Thursday 24th January at 16:00 CET

 

SPAIN

900800678

GERMANY

08001013982 

NETHERLANDS

08002658044 

FRANCE

0800947739 

UNITED KINGDOM

08005285280 

UNITED STATES

8005369053 

SWEDEN

0201400578

From Other countries

+34 917911859

 

Access code:

3160100

 

 

Thanks alot,

Kind regards,

Gabrielle

 

 

Gabrielle Bertier

Scientific Project Manager
International and Scientific Affairs
CRG, Center for Genomic Regulation
Carrer Dr. Aiguader, 88

08003 Barcelona, España
Tel: +34933160374
Mobile: +34639960656
email: 
gabrielle.bertier@crg.es

web: www.geuvadis.eu; www.fliact.eu

 

 

From: geuvadis_rna_analysis-bounces@lists.crg.es [mailto:geuvadis_rna_analysis-bounces@lists.crg.es] On Behalf Of Tuuli Lappalainen
Sent: 22 January, 2013 8:37 AM
To: Manolis Dermitzakis; geuvadis_rna_analysis@lists.crg.es
Subject: [Geuvadis_rna_analysis] RNAseq paper

 

Dear all,

The Geuvadis RNAseq paper was rejected this morning. We've decided with Manolis that we should make an appeal, and we have already been in touch with Magdalena about this. We'll need to send her a response letter in a couple of days (see the attachment with reviewer's comments and a rough response draft). It ain't over til it's over.

Since we were going to have a call soon anyway, let's have a TC on Thursday the 24th at 4pm CET. Before that, I'd be happy to hear your comments to the response letter (deadline: immediately). There's a couple of bigger items to discuss, and specific questions to a few of you - see below. There won't be a lot of new analysis to do if we're given the chance to revise.

Questions:
- Do we drop non-essential analyses as #2 suggests? This would mean RNA editing, maybe fusions and subtle splicing. I'm not keen to, but if people think it would improve the overall quality of the paper...
- Should we restructure the supplement by topic instead of methods/figures/tables? Need to ask Magdalena too.
- Andrew & Natalja: Can we add a data slicing and download function to the browser (or a separate site linked from the browser)?
- Jean & Mar: How is the qualitative/quantitative analysis affected by low-abundance transcripts? Will the results change if the threshold is different?
- Jean, Mar, Pedro, Micha (and myself): #2 raises an important question (really!): most of transcript variation is explained by transcript ratio differences, but we find very few QTLs for this. Why do you think this is? Is all that variation really just random/environmental/epigenetic?
- Jean: #3 suspects that the 3% of transcriptome variation explained by population could be just random - how do we respond to this?   
- Manny: What could we do to add novelty value to NMD analysis?
- Gabrielle: Is it possible to make a read-only password for the wiki? We could give one to the reviewers just so that they can see it.


best regards,
Tuuli



-- 
Tuuli Lappalainen, PhD
Department of Genetics, Stanford University School of Medicine , and
Department of Genetic Medicine and Development, University of Geneva
Email: tuuli.e.lappalainen@gmail.com / tlappala@stanford.edu
Tel: +1 415 351 9713
Bustamante lab
Department of Genetics
300 Pasteur Dr. Lane L301
Stanford, CA 94305-5120
USA


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