Evidence map›Paper›PMID 16132083›Full record

ArticlePLoS genetics2005

Transcriptome analysis of zebrafish embryogenesis using microarrays.

Sinnakaruppan Mathavan, Serene G P Lee, Alicia Mak, Lance D Miller, Karuturi Radha Krishna Murthy, Kunde R Govindarajan, Yan Tong, Yi Lian Wu, Siew Hong Lam, Henry Yang and 5 more

Abstract read
In one paragraph

Article in PLoS genetics, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 157 papers.

0numbers the graph read from it
0cells of the map it votes in
157citing 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

157 citing papers in PubMed.

  1. Article
  2. Dynamic expression of the zebrafish (Danio rerio) proteome across early larval development.Comparative biochemistry and physiology. Part D, Genomics & proteomics · 2025
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  18. Article
  19. Dynamic Transcriptional Landscape of Grass Carp (International journal of molecular sciences · 2022
    Article
  20. Article

97 more citing papers are in PubMed but not listed here.

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

15 authors.

Sinnakaruppan MathavanGenome Institute of Singapore, Singapore.
Serene G P Lee
Alicia Mak
Lance D Miller
Karuturi Radha Krishna Murthy
Kunde R Govindarajan
Yan Tong
Yi Lian Wu
Siew Hong Lam
Henry Yang
Yijun Ruan
Vladimir Korzh
Zhiyuan Gong
Edison T Liu
Thomas Lufkin

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Zebrafish (Danio rerio) is a well-recognized model for the study of vertebrate developmental genetics, yet at the same time little is known about the transcriptional events that underlie zebrafish embryogenesis. Here we have employed microarray analysis to study the temporal activity of developmentally regulated genes during zebrafish embryogenesis. Transcriptome analysis at 12 different embryonic time points covering five different developmental stages (maternal, blastula, gastrula, segmentation, and pharyngula) revealed a highly dynamic transcriptional profile. Hierarchical clustering, stage-specific clustering, and algorithms to detect onset and peak of gene expression revealed clearly demarcated transcript clusters with maximum gene activity at distinct developmental stages as well as co-regulated expression of gene groups involved in dedicated functions such as organogenesis. Our study also revealed a previously unidentified cohort of genes that are transcribed prior to the mid-blastula transition, a time point earlier than when the zygotic genome was traditionally thought to become active. Here we provide, for the first time to our knowledge, a comprehensive list of developmentally regulated zebrafish genes and their expression profiles during embryogenesis, including novel information on the temporal expression of several thousand previously uncharacterized genes. The expression data generated from this study are accessible to all interested scientists from our institute resource database (http://giscompute.gis.a-star.edu.sg/~govind/zebrafish/data_download.html).

Identifiers

PMID16132083
PMCPMC1193535

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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.