Evidence map›Paper›PMID 24781209›Full record

ArticleHuman molecular genetics2014

Developmental transcriptome analysis of human erythropoiesis.

Lihong Shi, Yu-Hsuan Lin, M C Sierant, Fan Zhu, Shuaiying Cui, Yuanfang Guan, Maureen A Sartor, Osamu Tanabe, Kim-Chew Lim, James Douglas Engel

Open access · bronzeAbstract read
In one paragraph

Article in Human molecular genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

43 citing papers in PubMed, 51 citations in OpenAlex.

  1. Article
  2. Article
  3. Residual Genetic Material in Mature Red Blood Cells.International journal of molecular sciences · 2025
    Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Expression, functional mechanism and therapy application of long noncoding RNA inZhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2022
    Article
  15. Article
  16. Review
  17. Article
  18. Long non-coding RNAs during normal erythropoiesis.Blood science (Baltimore, Md.) · 2019
    Article
  19. Omics Studies in Hemoglobinopathies.Molecular diagnosis & therapy · 2019
    Review
  20. Article
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

10 authors at 2 institutions in 2 countries.

Lihong ShiDepartment of Cell and Developmental Biology and.
Yu-Hsuan LinDepartment of Cell and Developmental Biology and Department of Computational Medicine and Bioinformatics, University of Michigan Medical School, Ann Arbor, MI 48109, USA.
M C SierantDepartment of Cell and Developmental Biology and.
Fan ZhuDepartment of Computational Medicine and Bioinformatics, University of Michigan Medical School, Ann Arbor, MI 48109, USA.
Shuaiying CuiDepartment of Cell and Developmental Biology and.
Yuanfang GuanDepartment of Computational Medicine and Bioinformatics, University of Michigan Medical School, Ann Arbor, MI 48109, USA.
Maureen A SartorDepartment of Computational Medicine and Bioinformatics, University of Michigan Medical School, Ann Arbor, MI 48109, USA.
Osamu TanabeDepartment of Cell and Developmental Biology and Department of Integrative Genomics, Tohoku Medical Megabank, Tohoku University, 2-1 Seiryo-machi, Sendai 980-8573, Japan.
Kim-Chew LimDepartment of Cell and Developmental Biology and.
James Douglas EngelDepartment of Cell and Developmental Biology and engel@umich.edu.
University of Michigan–Ann Arbor · USTohoku Medical Megabank Organization · JP

Funding

University of Michigan O'Brien Kidney Translational Core CenterP30DK081943 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI PENNATHUR, SUBRAMANIAM · 2008 to 2022
$12.9M
Improving HbF induction by inhibiting epigenetic target enzymesU01HL117658 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ENGEL, JAMES DOUGLAS, LAVELLE, DONALD · 2013 to 2017
$8.3M
EXPRESSION OF DEVELOPMENTALLY RELATED AVIAN GENESR01HL024415 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ENGEL, JAMES DOUGLAS · 1985 to 2009
$3.3M
Reactivation of Fetal Gamma-globin Genes for the Treatment of Beta-globin DisordeRC1DK086956 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI TANABE, OSAMU · 2009 to 2010
$984k
Integrating context-specific networks to predict ataxia genesR21NS082212 · NINDS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BURMEISTER, MARGIT, GUAN, YUANFANG · 2013 to 2014
$426k
Inactivation of LSD1 as a possible treatment for sickle cell diseaseR21HL114368 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ENGEL, JAMES DOUGLAS · 2012 to 2013
$418k
NHLBI NIH HHS HL114368NHLBI NIH HHS HL24415NHLBI NIH HHS U01 HL117658NIDDK NIH HHS DK086956NIDDK NIH HHS P30 DK081943NINDS NIH HHS R21NS082212-01
6 · The paper itself

Abstract

To globally survey the changes in transcriptional landscape during terminal erythroid differentiation, we performed RNA sequencing (RNA-seq) on primary human CD34(+) cells after ex vivo differentiation from the earliest into the most mature erythroid cell stages. This analysis identified thousands of novel intergenic and intronic transcripts as well as novel alternative transcript isoforms. After rigorous data filtering, 51 (presumptive) novel protein-coding transcripts, 5326 long and 679 small non-coding RNA candidates remained. The analysis also revealed two clear transcriptional trends during terminal erythroid differentiation: first, the complexity of transcript diversity was predominantly achieved by alternative splicing, and second, splicing junctional diversity diminished during erythroid differentiation. Finally, 404 genes that were not known previously to be differentially expressed in erythroid cells were annotated. Analysis of the most extremely differentially expressed transcripts revealed that these gene products were all closely associated with hematopoietic lineage differentiation. Taken together, this study will serve as a comprehensive platform for future in-depth investigation of human erythroid development that, in turn, may reveal new insights into multiple layers of the transcriptional regulatory hierarchy that controls erythropoiesis.

Indexed as

Gene Expression ProfilingGene Expression Regulation, DevelopmentalAdultbeta-GlobinsCell DifferentiationCell LineageErythroid CellsErythropoiesisHumansOpen Reading FramesProtein IsoformsRNA, MessengerRNA SplicingRNA, UntranslatedSequence Analysis, RNAbeta-GlobinsProtein IsoformsRNA, MessengerRNA, Untranslated

Identifiers

PMID24781209
PMCPMC4119405
OpenAlexW2158825911

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.