Evidence map›Paper›PMID 12848903›Full record

ArticleBMC cell biology2003

Identification of a distinct class of cytoskeleton-associated mRNAs using microarray technology.

Amy Brock, Sui Huang, Donald E Ingber

Open access · goldAbstract read
In one paragraph

Article in BMC cell biology, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.1field-weighted citation impact, top 51% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
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 2 institutions in 1 country.

Amy BrockVascular Biology Program, Department of Pathology, Harvard Medical School and Children's Hospital, Enders 1007, 300 Longwood Ave, Boston, MA 02115, USA. amybrock@fas.harvard.edu
Sui Huang
Donald E Ingber
Boston Children's Hospital · USHarvard University · US

Funding

GROWTH GENES, EXTRACELLULAR MATRIX AND ANGIOGENESISR01CA055833 · NCI · CHILDREN'S HOSPITAL BOSTON · PI INGBER, DONALD E · 1994 to 2008
$2.6M
NCI NIH HHS CA55833NCI NIH HHS R01 CA055833
6 · The paper itself

Abstract

backgroundInteractions between mRNA and the cytoskeleton are critical for the localization of a number of transcripts in eukaryotic somatic cells. To characterize additional transcripts that may be subject to this form of regulation, we developed a two-step approach that utilizes biochemical fractionation of cells to isolate transcripts from different subcellular compartments followed by microarray analysis to examine and compare these subpopulations of transcripts in a massively-parallel manner.

resultsUsing this approach, mRNA was extracted from the cytoskeleton-rich and the cytosolic fractions of the promyelocytic HL-60 cell line. We identify a subset of 22 transcripts that are significantly enriched in the cytoskeleton-associated population. The majority of these encode structural proteins and/or proteins known to interact with elements of the cytoskeleton. Localization required an intact actin cytoskeleton and was largely conserved upon differentiation of precursor HL-60 cells to a macrophage-like phenotype.

conclusionsWe conclude that the association of transcripts with the actin cytoskeleton in somatic cells may be a critical post-transcriptional regulatory event that controls a larger class of genes than has previously been recognized.

Indexed as

Cell FractionationCell Line, TumorCytoskeletonCytosolGene Expression ProfilingGene Expression Regulation, NeoplasticGenes, NeoplasmHL-60 CellsHumansOligonucleotide Array Sequence AnalysisRNA, MessengerRNA, Messenger

Identifiers

PMID12848903
PMCPMC167255
OpenAlexW2136814670

What OpenQuestion holds

Textmetadata
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.