Evidence map›Paper›PMID 9653160›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America1998

Identification of genes expressed in human CD34(+) hematopoietic stem/progenitor cells by expressed sequence tags and efficient full-length cDNA cloning.

M Mao, G Fu, J S Wu, Q H Zhang, J Zhou, L X Kan, Q H Huang, K L He, B W Gu, Z G Han and 7 more

Open access · greenAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 1998. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
4.9field-weighted citation impact, top 4% 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

40 citing papers in PubMed, 133 citations in OpenAlex.

  1. Review
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  9. Roles of SETD2 in Leukemia-Transcription, DNA-Damage, and Beyond.International journal of molecular sciences · 2019
    Review
  10. GMF as an Actin Network Remodeling Factor.Trends in cell biology · 2018
    Review
  11. Haematologica · 2018
    Article
  12. Review
  13. Article
  14. Article
  15. Clinical bioinformatics: a new emerging science.Journal of clinical bioinformatics · 2011
    Article
  16. Article
  17. The transcriptome of human CD34+ hematopoietic stem-progenitor cells.Proceedings of the National Academy of Sciences of the United States of America · 2009
    Article
  18. Analysis of phenotype-genotype connection: the story of dissecting disease pathogenesis in genomic era in China, and beyond.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2007
    Review
  19. 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

17 authors at 1 institution in 1 country.

M MaoKey Laboratory for Human Genome Research and Shanghai Institute of Hematology, Rui Jin Hospital, Shanghai Second Medical University, Shanghai 200025, People's Republic of China.
G Fu
J S Wu
Q H Zhang
J Zhou
L X Kan
Q H Huang
K L He
B W Gu
Z G Han
Y Shen
J Gu
Y P Yu
S H Xu
Y X Wang
S J Chen
Z Chen
Shanghai Institute of Hematology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hematopoietic stem/progenitor cells (HSPCs) possess the potentials of self-renewal, proliferation, and differentiation toward different lineages of blood cells. These cells not only play a primordial role in hematopoietic development but also have important clinical application. Characterization of the gene expression profile in CD34(+) HSPCs may lead to a better understanding of the regulation of normal and pathological hematopoiesis. In the present work, genes expressed in human umbilical cord blood CD34(+) cells were catalogued by partially sequencing a large amount of cDNA clones [or expressed sequence tags (ESTs)] and analyzing these sequences with the tools of bioinformatics. Among 9,866 ESTs thus obtained, 4,697 (47.6%) showed identity to known genes in the GenBank database, 2, 603 (26.4%) matched to the ESTs previously deposited in a public domain database, 1,415 (14.3%) were previously undescribed ESTs, and the remaining 1,151 (11.7%) were mitochondrial DNA, ribosomal RNA, or repetitive (Alu or L1) sequences. Integration of ESTs of known genes generated a profile including 855 genes that could be divided into different categories according to their functions. Some (8.2%) of the genes in this profile were considered related to early hematopoiesis. The possible function of ESTs corresponding to so far unknown genes were approached by means of homology and functional motif searches. Moreover, attempts were made to generate libraries enriched for full-length cDNAs, to better explore the genes in HSPCs. Nearly 60% of the cDNA clones of mRNA under 2 kb in our libraries had 5' ends upstream of the first ATG codon of the ORF. With this satisfactory result, we have developed an efficient working system that allowed fast sequencing of 32 full-length cDNAs, 16 of them being mapped to the chromosomes with radiation hybrid panels. This work may lay a basis for the further research on the molecular network of hematopoietic regulation.

Indexed as

Adenosine TriphosphatasesGene Expression RegulationRepressor ProteinsAntigens, CD34ATPases Associated with Diverse Cellular ActivitiesCloning, MolecularDNA, ComplementaryEndosomal Sorting Complexes Required for TransportGene LibraryHematopoietic Stem CellsHumansMolecular Sequence DataVesicular Transport ProteinsAdenosine TriphosphatasesAntigens, CD34ATPases Associated with Diverse Cellular ActivitiesDNA, ComplementaryEndosomal Sorting Complexes Required for TransportRepressor ProteinsVesicular Transport ProteinsVPS4B protein, human

Identifiers

PMID9653160
PMCPMC20949
OpenAlexW2101626351

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.