Evidence map›Paper›PMID 24121002›Full record

ArticleGenomics

Transcriptome dynamics during human erythroid differentiation and development.

Yadong Yang, Hai Wang, Kai-Hsin Chang, Hongzhu Qu, Zhaojun Zhang, Qian Xiong, Heyuan Qi, Peng Cui, Qiang Lin, Xiuyan Ruan and 8 more

Abstract read
In one paragraph

Article in Genomics. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–field-weighted citation impact
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

18 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Long noncoding RNABlood science (Baltimore, Md.) · 2019
    Article
  8. Article
  9. Unraveling transcriptome dynamics in human spermatogenesis.Development (Cambridge, England) · 2017
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. 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

18 authors.

Yadong Yang *Laboratory of Disease Genomics and Individualized Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China.
Hai Wang *Laboratory of Disease Genomics and Individualized Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China.
Kai-Hsin Chang *Division of Hematology, Department of Medicine, University of Washington, Seattle, WA 98195, USA.
Hongzhu QuLaboratory of Disease Genomics and Individualized Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China.
Zhaojun ZhangLaboratory of Disease Genomics and Individualized Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China.
Qian XiongLaboratory of Disease Genomics and Individualized Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China.
Heyuan QiLaboratory of Disease Genomics and Individualized Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China.
Peng CuiCAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China.
Qiang LinCAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China.
Xiuyan RuanLaboratory of Disease Genomics and Individualized Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China.
Yaran YangLaboratory of Disease Genomics and Individualized Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China.
Yajuan LiLaboratory of Disease Genomics and Individualized Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China.
Chang ShuCAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China.
Quanzhen LiDepartment of Immunology & Microarray Core Facility, The University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
Edward K WakelandLaboratory of Disease Genomics and Individualized Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China.
Jiangwei YanLaboratory of Disease Genomics and Individualized Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China.
Songnian HuCAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China.
Xiangdong FangLaboratory of Disease Genomics and Individualized Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China.

Funding

Hematopoietic/erythropoietic differentiation of human embryonic stem cellsK01DK077864 · NIDDK · UNIVERSITY OF WASHINGTON · PI CHANG, KAI-HSIN · 2007 to 2011
$591k
NIDDK NIH HHS DK077864NIDDK NIH HHS K01 DK077864
6 · The paper itself

Abstract

To explore the mechanisms controlling erythroid differentiation and development, we analyzed the genome-wide transcription dynamics occurring during the differentiation of human embryonic stem cells (HESCs) into the erythroid lineage and development of embryonic to adult erythropoiesis using high throughput sequencing technology. HESCs and erythroid cells at three developmental stages: ESER (embryonic), FLER (fetal), and PBER (adult) were analyzed. Our findings revealed that the number of expressed genes decreased during differentiation, whereas the total expression intensity increased. At each of the three transitions (HESCs-ESERs, ESERs-FLERs, and FLERs-PBERs), many differentially expressed genes were observed, which were involved in maintaining pluripotency, early erythroid specification, rapid cell growth, and cell-cell adhesion and interaction. We also discovered dynamic networks and their central nodes in each transition. Our study provides a fundamental basis for further investigation of erythroid differentiation and development, and has implications in using ESERs for transfusion product in clinical settings.

Indexed as

TranscriptomeCell LineCell ProliferationEmbryonic Stem CellsErythroblastsErythroid CellsErythropoiesisGene Expression ProfilingGene Expression Regulation, DevelopmentalGene Regulatory NetworksGenome, HumanHigh-Throughput Nucleotide SequencingHumansCell differentiationDevelopmentErythropoiesisGene regulatory networksHigh-throughput RNA sequencing

Identifiers

PMID24121002
PMCPMC4151266

What OpenQuestion holds

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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.