Evidence map›Paper›PMID 23792147›Full record

ArticleDevelopmental cell2013

Cell-type-specific profiling of gene expression and chromatin binding without cell isolation: assaying RNA Pol II occupancy in neural stem cells.

Tony D Southall, Katrina S Gold, Boris Egger, Catherine M Davidson, Elizabeth E Caygill, Owen J Marshall, Andrea H Brand

Open access · greenAbstract read
In one paragraph

Article in Developmental cell, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 138 papers.

0numbers the graph read from it
0cells of the map it votes in
138citing papers in PubMed
5.5field-weighted citation impact, top 3% 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

138 citing papers in PubMed, 282 citations in OpenAlex.

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78 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

7 authors at 2 institutions in 1 country.

Tony D SouthallThe Gurdon Institute and Department of Physiology, Development and Neuroscience, University of Cambridge, Tennis Court Road, Cambridge CB2 1QN, UK.
Katrina S Gold
Boris Egger
Catherine M Davidson
Elizabeth E Caygill
Owen J Marshall
Andrea H Brand
University of Cambridge · GBWellcome/Cancer Research UK Gurdon Institute · GB

Funding

Cancer Research UK C6946/A14492Wellcome TrustWellcome Trust 068055Wellcome Trust 092096Wellcome Trust 092545
6 · The paper itself

Abstract

Cell-type-specific transcriptional profiling often requires the isolation of specific cell types from complex tissues. We have developed "TaDa," a technique that enables cell-specific profiling without cell isolation. TaDa permits genome-wide profiling of DNA- or chromatin-binding proteins without cell sorting, fixation, or affinity purification. The method is simple, sensitive, highly reproducible, and transferable to any model system. We show that TaDa can be used to identify transcribed genes in a cell-type-specific manner with considerable temporal precision, enabling the identification of differential gene expression between neuroblasts and the neuroepithelial cells from which they derive. We profile the genome-wide binding of RNA polymerase II in these adjacent, clonally related stem cells within intact Drosophila brains. Our data reveal expression of specific metabolic genes in neuroepithelial cells, but not in neuroblasts, and highlight gene regulatory networks that may pattern neural stem cell fates.

Indexed as

AnimalsBrainCell SeparationChromatinDNA MethylationDrosophilaGene Expression ProfilingGene Regulatory NetworksGenes, InsectNeural Stem CellsNeuroepithelial CellsProtein BindingReproducibility of ResultsRNA, MessengerRNA Polymerase IISensitivity and SpecificityChromatinRNA, MessengerRNA Polymerase II

Identifiers

PMID23792147
PMCPMC3714590
OpenAlexW2114709909

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.