Evidence map›Paper›PMID 20699157›Full record

ArticleMethods in enzymology2010

Gene expression profiling of mouse embryos with microarrays.

Alexei A Sharov, Yulan Piao, Minoru S H Ko

Abstract read
In one paragraph

Article in Methods in enzymology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

3 authors.

Alexei A SharovDevelopmental Genomics and Aging Section, Laboratory of Genetics, National Institute on Aging, NIH, Baltimore, Maryland, USA.
Yulan Piao
Minoru S H Ko

Funding

Development and maintenance of bioinformatics tools for mouse biologyZIAAG000702 · NIA · NATIONAL INSTITUTE ON AGING · PI SCHLESSINGER, DAVID · 2009 to 2016
$4.1M
Systematic analysis of gene regulatory networksZIAAG000656 · NIA · NATIONAL INSTITUTE ON AGING · PI SCHLESSINGER, DAVID · 2009 to 2016
$3.9M
Cellular commitment to mortality: analyses of mouse early embryoZIAAG000655 · NIA · NATIONAL INSTITUTE ON AGING · PI SCHLESSINGER, DAVID · 2009 to 2013
$2.8M
Expression profiling of mouse embryonic and tissue stem cellsZIAAG000662 · NIA · NATIONAL INSTITUTE ON AGING · PI SCHLESSINGER, DAVID · 2009 to 2012
$2.0M
Transcription factor-manipulable mouse ES cell bankZIAAG000700 · NIA · NATIONAL INSTITUTE ON AGING · PI KO, MINORU · 2009 to 2011
$1.3M
Computational modeling of gene regulatory networks in cell differentiationZIAAG000678 · NIA · NATIONAL INSTITUTE ON AGING · PI KO, MINORU · 2009 to 2011
$962k
Systematic identification of transcription factor binding sitesZIAAG000704 · NIA · NATIONAL INSTITUTE ON AGING · PI KO, MINORU · 2009 to 2011
$957k
Intramural NIH HHS ZIA AG000655Intramural NIH HHS ZIA AG000656Intramural NIH HHS ZIA AG000662Intramural NIH HHS ZIA AG000678Intramural NIH HHS ZIA AG000700Intramural NIH HHS ZIA AG000702
6 · The paper itself

Abstract

Global expression profiling by DNA microarrays provides a snapshot of cell and tissue status and becomes an essential tool in biological and medical sciences. Typical questions that can be addressed by microarray analysis in developmental biology include: (1) to find a set of genes expressed in a specific cell type; (2) to identify genes expressed commonly in multiple cell types; (3) to follow the time-course changes of gene expression patterns; (4) to demonstrate cell's identity by showing similarities or differences among two or multiple cell types; (5) to find regulatory pathways and/or networks affected by gene manipulations, such as overexpression or repression of gene expression; (6) to find downstream target genes of transcription factors; (7) to find downstream target genes of cell signaling; (8) to examine the effects of environmental manipulation of cells on gene expression patterns; and (9) to find the effects of genetic manipulation in embryos and adults. Here, we describe strategies for executing these experiments and monitoring changes of cell state with gene expression microarrays in application to mouse embryology. Both statistical assessment and interpretation of data are discussed. We also present a protocol for performing microarray analysis on a small amount of embryonic materials.

Indexed as

AnimalsEmbryo, MammalianGene Expression ProfilingMiceOligonucleotide Array Sequence Analysis

Identifiers

PMID20699157
PMCPMC3166619

What OpenQuestion holds

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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.