Evidence map›Paper›PMID 22130858›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2012

Isolation of nuclei from skeletal muscle satellite cells and myofibers for use in chromatin immunoprecipitation assays.

Yasuyuki Ohkawa, Chandrashekara Mallappa, Caroline S Dacwag Vallaster, Anthony N Imbalzano

Open access · greenAbstract read
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.5field-weighted citation impact, top 31% 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

11 citing papers in PubMed, 20 citations in OpenAlex.

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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.

Yasuyuki OhkawaDepartment of Epigenetics and SSP Stem Cell Unit, Kyushu University, Fukuoka, Japan.
Chandrashekara Mallappa
Caroline S Dacwag Vallaster
Anthony N Imbalzano
University of Massachusetts Chan Medical School · USKyushu University · JP

Funding

TRANSCRIPTION FACTOR FUNCTION IN CHROMATINR01GM056244 · NIGMS · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI IMBALZANO, ANTHONY N · 1997 to 2019
$6.7M
NIGMS NIH HHS GM56244NIGMS NIH HHS R01 GM056244
6 · The paper itself

Abstract

Studies investigating mechanisms controlling gene regulation frequently examine specific DNA sequences using chromatin immunoprecipitation (ChIP) assays to determine whether specific regulatory factors or modified histones are present. While use of primary cells or cell line models for differentiating or differentiated tissue is widespread, the ability to assess factor binding and histone modification in tissue defines the events that occur in vivo and provides corroboration for studies in cultured cells. Many tissues can be analyzed with minimal modification to existing ChIP protocols that are designed for cultured cells; however, some tissues, such as skeletal muscle, are problematic in that accessibility of the cross-linking agent is limited. We describe a method to isolate skeletal muscle tissue nuclei suitable for use in ChIP protocols. Furthermore, we utilize a simple fractionation of digested skeletal muscle tissue that can separate mature myofibers from satellite cells, which are responsible for postnatal skeletal muscle regeneration, thereby allowing simultaneous preparation of nuclei from both cell types.

Indexed as

Chromatin ImmunoprecipitationAnimalsCell FractionationCell NucleusCell SeparationDNA-Binding ProteinsGene Expression RegulationMiceMuscle Fibers, SkeletalSatellite Cells, Skeletal MuscleDNA-Binding Proteins

Identifiers

PMID22130858
PMCPMC4201384
OpenAlexW1959566911

What OpenQuestion holds

Textmetadata
LicenceTDM
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.