Evidence map›Paper›PMID 18493048›Full record

ArticleGenetics2008

Metabolomics- and proteomics-assisted genome annotation and analysis of the draft metabolic network of Chlamydomonas reinhardtii.

Patrick May, Stefanie Wienkoop, Stefan Kempa, Björn Usadel, Nils Christian, Jens Rupprecht, Julia Weiss, Luis Recuenco-Munoz, Oliver Ebenhöh, Wolfram Weckwerth and 1 more

Abstract readComparative Study
In one paragraph

Article in Genetics, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing 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

48 citing papers in PubMed.

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  9. Omics Application of Bio-Hydrogen Production Through Green AlgaFrontiers in bioengineering and biotechnology · 2019
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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

11 authors.

Patrick MayGoFORSYS, Institute of Biochemistry and Biology, University of Potsdam, 14424 Potsdam-Golm, Germany 0331-5678.
Stefanie Wienkoop
Stefan Kempa
Björn Usadel
Nils Christian
Jens Rupprecht
Julia Weiss
Luis Recuenco-Munoz
Oliver Ebenhöh
Wolfram Weckwerth
Dirk Walther

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We present an integrated analysis of the molecular repertoire of Chlamydomonas reinhardtii under reference conditions. Bioinformatics annotation methods combined with GCxGC/MS-based metabolomics and LC/MS-based shotgun proteomics profiling technologies have been applied to characterize abundant proteins and metabolites, resulting in the detection of 1069 proteins and 159 metabolites. Of the measured proteins, 204 currently do not have EST sequence support; thus a significant portion of the proteomics-detected proteins provide evidence for the validity of in silico gene models. Furthermore, the generated peptide data lend support to the validity of a number of proteins currently in the proposed model stage. By integrating genomic annotation information with experimentally identified metabolites and proteins, we constructed a draft metabolic network for Chlamydomonas. Computational metabolic modeling allowed an identification of missing enzymatic links. Some experimentally detected metabolites are not producible by the currently known and annotated enzyme set, thus suggesting entry points for further targeted gene discovery or biochemical pathway research. All data sets are made available as supplementary material as well as web-accessible databases and within the functional context via the Chlamydomonas-adapted MapMan annotation platform. Information of identified peptides is also available directly via the JGI-Chlamydomonas genomic resource database (http://genome.jgi-psf.org/Chlre3/Chlre3.home.html).

Indexed as

Expressed Sequence TagsAlgal ProteinsAmino Acid SequenceAnimalsChlamydomonas reinhardtiiChromatography, LiquidComputational BiologyDatabases, GeneticInternetMass SpectrometryMetabolic Networks and PathwaysModels, GeneticMolecular Sequence DataProteomicsAlgal Proteins

Identifiers

PMID18493048
PMCPMC2390595

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

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.