Evidence map›Paper›PMID 22994549›Full record

ArticleBMC genomics2012

Whole transcriptome analysis of the silicon response of the diatom Thalassiosira pseudonana.

Roshan Prakash Shrestha, Benoit Tesson, Trina Norden-Krichmar, Stephen Federowicz, Mark Hildebrand, Andrew E Allen

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed
4.5field-weighted citation impact, top 5% of its field
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

47 citing papers in PubMed, 132 citations in OpenAlex.

  1. Co-option of Lysosomal Machinery for Sponge Biosilicification.bioRxiv : the preprint server for biology · 2026
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  11. The molecular basis for pore pattern morphogenesis in diatom silica.Proceedings of the National Academy of Sciences of the United States of America · 2022
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  15. A Genome-Scale Metabolic Model ofMicroorganisms · 2020
    Article
  16. Article
  17. Quantitative Proteomic Profiling of Marine DiatomFrontiers in microbiology · 2020
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  18. Article
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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

6 authors at 3 institutions in 1 country.

Roshan Prakash ShresthaScripps Institution of Oceanography, University of California, San Diego, California 92037, USA.
Benoit Tesson
Trina Norden-Krichmar
Stephen Federowicz
Mark Hildebrand
Andrew E Allen
J. Craig Venter Institute · USScripps Institution of Oceanography · USUniversity of California, San Diego · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSilicon plays important biological roles, but the mechanisms of cellular responses to silicon are poorly understood. We report the first analysis of cell cycle arrest and recovery from silicon starvation in the diatom Thalassiosira pseudonana using whole genome microarrays.

resultsThree known responses to silicon were examined, 1) silicified cell wall synthesis, 2) recovery from silicon starvation, and 3) co-regulation with silicon transporter (SIT) genes. In terms of diatom cell wall formation, thus far only cell surface proteins and proteins tightly associated with silica have been characterized. Our analysis has identified new genes potentially involved in silica formation, and other genes potentially involved in signaling, trafficking, protein degradation, glycosylation and transport, which provides a larger-scale picture of the processes involved. During silicon starvation, an overrepresentation of transcription and translation related genes were up-regulated, indicating that T. pseudonana is poised to rapidly recover from silicon starvation and resume cell cycle progression upon silicon replenishment. This is in contrast to other types of limitation, and provides the first molecular data explaining the well-established environmental response of diatoms to grow as blooms and to out-compete other classes of microalgae for growth. Comparison of our data with a previous diatom cell cycle analysis indicates that assignment of the cell cycle specific stage of particular cyclins and cyclin dependent kinases should be re-evaluated. Finally, genes co-varying in expression with the SITs enabled identification of a new class of diatom-specific proteins containing a unique domain, and a putative silicon efflux protein.

conclusionsAnalysis of the T. pseudonana microarray data has provided a wealth of new genes to investigate previously uncharacterized cellular phenomenon related to silicon metabolism, silicon's interaction with cellular components, and environmental responses to silicon.

Indexed as

TranscriptomeAmino Acid SequenceCell CycleCell WallCyclin-Dependent KinasesCyclinsDiatomsMolecular Sequence DataOligonucleotide Array Sequence AnalysisSequence AlignmentSiliconCyclin-Dependent KinasesCyclinsSilicon

Identifiers

PMID22994549
PMCPMC3478156
OpenAlexW2126852701

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.