Evidence map›Paper›PMID 21828245›Full record

ArticlePhysiological genomics2011

Transcriptome profiling and sequencing of differentiated human hematopoietic stem cells reveal lineage-specific expression and alternative splicing of genes.

Poching Liu, Jennifer Barb, Kimberly Woodhouse, James G Taylor, Peter J Munson, Nalini Raghavachari

Open access · greenAbstract read
In one paragraph

Article in Physiological genomics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

10 citing papers in PubMed, 18 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

6 authors at 3 institutions in 1 country.

Poching LiuGenomics Core Facility, Genetics and Development Biology, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland 20892, USA.
Jennifer Barb
Kimberly Woodhouse
James G Taylor
Peter J Munson
Nalini Raghavachari
National Heart Lung and Blood Institute · USCenter for Information Technology · USNational Institutes of Health · US

Funding

Genomic Determinants of Phenotypes of Sickle Cell DiseaseZIAHL006160 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI TAYLOR, JAMES · 2012 to 2016
$5.1M
Statistical And Computational Methods For Gene Expression and Proteomic AnalysisZIACT000266 · CIT · CENTER FOR INFORMATION TECHNOLOGY · PI MUNSON, PETER J · 2009 to 2016
$4.2M
Intramural NIH HHS
6 · The paper itself

Abstract

Hematopoietic differentiation is strictly regulated by complex network of transcription factors that are controlled by ligands binding to cell surface receptors. Disruptions of the intricate sequences of transcriptional activation and suppression of multiple genes cause hematological diseases, such as leukemias, myelodysplastic syndromes, or myeloproliferative syndromes. From a clinical standpoint, deciphering the pattern of gene expression during hematopoiesis may help unravel disease-specific mechanisms in hematopoietic malignancies. Herein, we describe a human in vitro hematopoietic model system where lineage-specific differentiation of CD34(+) cells was accomplished using specific cytokines. Microarray and RNAseq-based whole transcriptome and exome analysis was performed on the differentiated erythropoietic, granulopoietic, and megakaryopoietic cells to delineate changes in expression of whole transcripts and exons. Analysis on the Human 1.0 ST exon arrays indicated differential expression of 172 genes (P < 0.0000001) and significant alternate splicing of 86 genes during differentiation. Pathway analysis identified these genes to be involved in Rac/RhoA signaling, Wnt/B-catenin signaling and alanine/aspartate metabolism. Comparison of the microarray data to next generation RNAseq analysis during erythroid differentiation demonstrated a high degree of correlation in gene (R = 0.72) and exon (R = 0.62) expression. Our data provide a molecular portrait of events that regulate differentiation of hematopoietic cells. Knowledge of molecular processes by which the cells acquire their cell-specific fate would be beneficial in developing cell-based therapies for human diseases.

Indexed as

Gene Expression ProfilingSequence Analysis, DNAAlternative SplicingAntigens, CD34Cell DifferentiationCell LineageCluster AnalysisErythroid CellsExonsFlow CytometryGene Expression RegulationGene Regulatory NetworksHematopoiesisHematopoietic Stem CellsHumansOligonucleotide Array Sequence AnalysisAntigens, CD34RNA, Messenger

Identifiers

PMID21828245
PMCPMC3217327
OpenAlexW2128272283

What OpenQuestion holds

Textmetadata
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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.