Evidence map›Paper›PMID 24604781›Full record

ArticleGenome research2014

General approach for in vivo recovery of cell type-specific effector gene sets.

Julius C Barsi, Qiang Tu, Eric H Davidson

Open access · bronzeAbstract read
In one paragraph

Article in Genome research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed, 33 citations in OpenAlex.

  1. Article
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  3. Live imaging of echinoderm embryos to illuminate evo-devo.Frontiers in cell and developmental biology · 2022
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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

3 authors at 1 institution in 1 country.

Julius C BarsiDivision of Biology, California Institute of Technology, Pasadena, California 91125, USA.
Qiang Tu
Eric H Davidson
California Institute of Technology · US

Funding

GLOBAL GENE REGULATORY NETWORKS FOR SPECIFIC CELL TYPES OF THE SEA URCHIN EMBRYOR01HD067454 · NICHD · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI PETER, ISABELLE S · 2010 to 2014
$3.0M
NICHD NIH HHS HD067454NICHD NIH HHS R01 HD067454
6 · The paper itself

Abstract

Differentially expressed, cell type-specific effector gene sets hold the key to multiple important problems in biology, from theoretical aspects of developmental gene regulatory networks (GRNs) to various practical applications. Although individual cell types of interest have been recovered by various methods and analyzed, systematic recovery of multiple cell type-specific gene sets from whole developing organisms has remained problematic. Here we describe a general methodology using the sea urchin embryo, a material of choice because of the large-scale GRNs already solved for this model system. This method utilizes the regulatory states expressed by given cells of the embryo to define cell type and includes a fluorescence activated cell sorting (FACS) procedure that results in no perturbation of transcript representation. We have extensively validated the method by spatial and qualitative analyses of the transcriptome expressed in isolated embryonic skeletogenic cells and as a consequence, generated a prototypical cell type-specific transcriptome database.

Indexed as

Gene Expression Regulation, DevelopmentalGene Regulatory NetworksTranscriptomeAnimalsEmbryonic Stem CellsFlow CytometryOrgan SpecificityOsteoblastsOsteocytesSea Urchins

Identifiers

PMID24604781
PMCPMC4009615
OpenAlexW2149343707

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.