Evidence map›Paper›PMID 10527427›Full record

ArticlePlant molecular biology1999

Semi-quantitative RT-PCR analysis of photoregulated gene expression in marine diatoms.

C Leblanc, A Falciatore, M Watanabe, C Bowler

Abstract read
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In one paragraph

Article in Plant molecular biology, 1999. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
4.2field-weighted citation impact, top 7% 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

14 citing papers in PubMed, 64 citations in OpenAlex.

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  6. Genome-wide diel growth state transitions in the diatom Thalassiosira pseudonana.Proceedings of the National Academy of Sciences of the United States of America · 2013
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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

4 authors at 2 institutions in 2 countries.

C LeblancLaboratory of Molecular Plant Biology, Stazione Zoologica A. Dohrn, Naples, Italy.
A Falciatore
M Watanabe
C Bowler
Stazione Zoologica Anton Dohrn · ITNational Institute for Basic Biology · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The low cell densities of diatoms and other phytoplankton in culture has precluded the use of classical RNA analysis techniques for routine studies of gene expression in large numbers of samples. This has seriously hampered studies of the basic biology of such organisms. To circumvent this problem, we have developed a high-throughput semi-quantitative RT-PCR-based protocol and used it to monitor expression of a gene encoding a fucoxanthin, chlorophyll a/c-binding protein (FCP) in the centric planktonic diatom Thalassiosira weissflogii. Analysis of FCP gene expression in dark-adapted diatom cultures revealed that mRNA levels increase 5- to 6-fold in response to white light irradiation and peak around 6 to 8 h. To determine the photoreceptors involved in this response action spectra of FCP gene expression were determined using the Okazaki large spectrograph. Responses consistent with the presence of cryptochrome-, rhodopsin- and phytochrome-type receptors could be detected. The apparent presence of phytochrome-mediated responses is of particular interest given the low fluences of red and far-red light wavelengths in the marine environment.

Indexed as

ActinsAlgal ProteinsAmino Acid SequenceDiatomsDNAGene Expression RegulationGenesLightLight-Harvesting Protein ComplexesMolecular Sequence DataPhotosynthetic Reaction Center Complex ProteinsReverse Transcriptase Polymerase Chain ReactionRNA, MessengerSequence AlignmentSequence Analysis, DNASequence Homology, Amino AcidActinsAlgal ProteinsDNALight-Harvesting Protein ComplexesPhotosynthetic Reaction Center Complex ProteinsRNA, Messenger

Identifiers

PMID10527427
OpenAlexW1555049230

What OpenQuestion holds

Textmetadata
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.