Evidence map›Paper›PMID 26944343›Full record

ArticleMolecular & cellular proteomics : MCP2016

Natural Genetic Variation Differentially Affects the Proteome and Transcriptome in Caenorhabditis elegans.

Polina Kamkina, L Basten Snoek, Jonas Grossmann, Rita J M Volkers, Mark G Sterken, Michael Daube, Bernd Roschitzki, Claudia Fortes, Ralph Schlapbach, Alexander Roth and 4 more

Abstract readComparative Study
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. The regulatory architecture of gene expression variation inbioRxiv : the preprint server for biology · 2025
    Article
  3. Review
  4. Article
  5. High-content phenotypic analysis ofbioRxiv : the preprint server for biology · 2024
    Article
  6. Article
  7. Article
  8. Article
  9. WormQTL2: an interactive platform for systems genetics in Caenorhabditis elegans.Database : the journal of biological databases and curation · 2020
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. 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

14 authors.

Polina KamkinaFrom the ‡Institute of Molecular Life Sciences, University of Zurich, 8057 Zurich, Switzerland; §Ph.D. Program in Molecular Life Sciences Zurich, 8057 Zurich, Switzerland;
L Basten Snoek‖Laboratory of Nematology, Wageningen University, Wageningen 6708 PB, The Netherlands;
Jonas Grossmann**Functional Genomics Center Zurich, University of Zurich and Swiss Federal Institute of Technology Zurich, 8057 Zurich, Switzerland.
Rita J M Volkers‖Laboratory of Nematology, Wageningen University, Wageningen 6708 PB, The Netherlands;
Mark G Sterken‖Laboratory of Nematology, Wageningen University, Wageningen 6708 PB, The Netherlands;
Michael DaubeFrom the ‡Institute of Molecular Life Sciences, University of Zurich, 8057 Zurich, Switzerland;
Bernd Roschitzki**Functional Genomics Center Zurich, University of Zurich and Swiss Federal Institute of Technology Zurich, 8057 Zurich, Switzerland.
Claudia Fortes**Functional Genomics Center Zurich, University of Zurich and Swiss Federal Institute of Technology Zurich, 8057 Zurich, Switzerland.
Ralph Schlapbach**Functional Genomics Center Zurich, University of Zurich and Swiss Federal Institute of Technology Zurich, 8057 Zurich, Switzerland.
Alexander RothFrom the ‡Institute of Molecular Life Sciences, University of Zurich, 8057 Zurich, Switzerland;
Christian von MeringFrom the ‡Institute of Molecular Life Sciences, University of Zurich, 8057 Zurich, Switzerland;
Michael O HengartnerFrom the ‡Institute of Molecular Life Sciences, University of Zurich, 8057 Zurich, Switzerland;
Sabine P SchrimpfFrom the ‡Institute of Molecular Life Sciences, University of Zurich, 8057 Zurich, Switzerland; jan.kammenga@wur.nl sabine.schrimpf@imls.uzh.ch.
Jan E Kammenga‖Laboratory of Nematology, Wageningen University, Wageningen 6708 PB, The Netherlands; jan.kammenga@wur.nl sabine.schrimpf@imls.uzh.ch.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Natural genetic variation is the raw material of evolution and influences disease development and progression. An important question is how this genetic variation translates into variation in protein abundance. To analyze the effects of the genetic background on gene and protein expression in the nematode Caenorhabditis elegans, we quantitatively compared the two genetically highly divergent wild-type strains N2 and CB4856. Gene expression was analyzed by microarray assays, and proteins were quantified using stable isotope labeling by amino acids in cell culture. Among all transcribed genes, we found 1,532 genes to be differentially transcribed between the two wild types. Of the total 3,238 quantified proteins, 129 proteins were significantly differentially expressed between N2 and CB4856. The differentially expressed proteins were enriched for genes that function in insulin-signaling and stress-response pathways, underlining strong divergence of these pathways in nematodes. The protein abundance of the two wild-type strains correlates more strongly than protein abundance versus transcript abundance within each wild type. Our findings indicate that in C. elegans only a fraction of the changes in protein abundance can be explained by the changes in mRNA abundance. These findings corroborate with the observations made across species.

Indexed as

Genetic VariationAnimalsBiological EvolutionCaenorhabditis elegansCaenorhabditis elegans ProteinsGene Expression ProfilingGene Expression RegulationGene Regulatory NetworksIsotope LabelingOligonucleotide Array Sequence AnalysisProteomicsCaenorhabditis elegans Proteins

Identifiers

PMID26944343
PMCPMC4858947

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.