Evidence map›Paper›PMID 27293593›Full record

ArticleConservation physiology2013

Shotgun proteomics as a viable approach for biological discovery in the Pacific oyster.

Emma Timmins-Schiffman, Brook L Nunn, David R Goodlett, Steven B Roberts

Abstract read
In one paragraph

Article in Conservation physiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Conservation physiology today and tomorrow.Conservation physiology · 2014
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Emma Timmins-SchiffmanSchool of Aquatic and Fishery Sciences, University of Washington, Box 355020, Seattle, WA 98195, USA.
Brook L NunnGenomic Sciences, University of Washington, Box 355065, Seattle, WA 98195, USA.
David R GoodlettMedicinal Chemistry, University of Washington, Box 357610, Seattle, WA 98195, USA.
Steven B RobertsSchool of Aquatic and Fishery Sciences, University of Washington, Box 355020, Seattle, WA 98195, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Shotgun proteomics offers an efficient means to characterize proteins in a complex mixture, particularly when sufficient genomic resources are available. In order to assess the practical application of shotgun proteomics in the Pacific oyster (Crassostrea gigas), liquid chromatography coupled with tandem mass spectrometry was used to characterize the gill proteome. Using information from the recently published Pacific oyster genome, 1043 proteins were identified. Biological samples (n = 4) and corresponding technical replicates (three) were similar in both specific proteins identified and expression, as determined by normalized spectral abundance factor. A majority of the proteins identified (703) were present in all biological samples. Functional analysis of the protein repertoire illustrates that these proteins represent a wide range of biological processes, supporting the dynamic function of the gill. These insights are important for understanding environmental influences on the oyster, because the gill tissue acts as the interface between the oyster and its environment. In silico analysis indicated that this sequencing effort identified a large proportion of the complete gill proteome. Together, these data demonstrate that shotgun sequencing is a viable approach for biological discovery and will play an important role in future studies of oyster physiology.

Indexed as

Crassostrea gigasPacific oysterproteomicstandem mass spectrometry

Identifiers

PMID27293593
PMCPMC4732435

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.