Evidence map›Paper›PMID 21342535›Full record

ArticleBMC medical genomics2011

Integrative analysis of next generation sequencing for small non-coding RNAs and transcriptional regulation in Myelodysplastic Syndromes.

Dominik Beck, Steve Ayers, Jianguo Wen, Miriam B Brandl, Tuan D Pham, Paul Webb, Chung-Che Chang, Xiaobo Zhou

Open access · goldAbstract read
In one paragraph

Article in BMC medical genomics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed, 48 citations in OpenAlex.

  1. Article
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  8. Article
  9. Article
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  11. Identification of MicroRNA Targets ofFrontiers in plant science · 2017
    Article
  12. Article
  13. Review
  14. Genetics of allergic diseases.Immunology and allergy clinics of North America · 2015
    Review
  15. Review
  16. Article
  17. Noncoding RNAs in DNA repair and genome integrity.Antioxidants & redox signaling · 2014
    Review
  18. Article
  19. Integrating omics technologies to study pulmonary physiology and pathology at the systems level.Cellular physiology and biochemistry : international journal of experimental cellular physiology, biochemistry, and pharmacology · 2014
    Review
  20. 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

8 authors at 3 institutions in 2 countries.

Dominik BeckBioengineering and Bioinformatics Program, Department of Pathology, The Methodist Hospital Research Institute, Weill Cornell Medical College, Houston, TX, 77030, USA.
Steve Ayers
Jianguo Wen
Miriam B Brandl
Tuan D Pham
Paul Webb
Chung-Che Chang
Xiaobo Zhou
Methodist Hospital · USUniversity of Canberra · AUCornell University · US

Funding

System Biology Approach for Signaling Transduction Study of Complex PhenotypesR01LM010185 · NLM · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI ZHOU, XIAOBO, ZU, YOULI · 2009 to 2012
$1.3M
NLM NIH HHS R01 LM010185NLM NIH HHS R01LM010185
6 · The paper itself

Abstract

backgroundMyelodysplastic Syndromes (MDSS) are pre-leukemic disorders with increasing incident rates worldwide, but very limited treatment options. Little is known about small regulatory RNAs and how they contribute to pathogenesis, progression and transcriptome changes in MDS.

methodsPatients' primary marrow cells were screened for short RNAs (RNA-seq) using next generation sequencing. Exon arrays from the same cells were used to profile gene expression and additional measures on 98 patients obtained. Integrative bioinformatics algorithms were proposed, and pathway and ontology analysis performed.

resultsIn low-grade MDS, observations implied extensive post-transcriptional regulation via microRNAs (miRNA) and the recently discovered Piwi interacting RNAs (piRNA). Large expression differences were found for MDS-associated and novel miRNAs, including 48 sequences matching to miRNA star (miRNA*) motifs. The detected species were predicted to regulate disease stage specific molecular functions and pathways, including apoptosis and response to DNA damage. In high-grade MDS, results suggested extensive post-translation editing via transfer RNAs (tRNAs), providing a potential link for reduced apoptosis, a hallmark for this disease stage. Bioinformatics analysis confirmed important regulatory roles for MDS linked miRNAs and TFs, and strengthened the biological significance of miRNA*. The "RNA polymerase II promoters" were identified as the tightest controlled biological function. We suggest their control by a miRNA dominated feedback loop, which might be linked to the dramatically different miRNA amounts seen between low and high-grade MDS. DISCUSSION: The presented results provide novel findings that build a basis of further investigations of diagnostic biomarkers, targeted therapies and studies on MDS pathogenesis.

Indexed as

Computational BiologyExonsGene Expression ProfilingGene Expression RegulationHumansMyelodysplastic SyndromesNucleic Acid ConformationRNA Polymerase IIRNA, Small UntranslatedSequence Analysis, RNATranscription, GeneticRNA Polymerase IIRNA, Small Untranslated

Identifiers

PMID21342535
PMCPMC3060843
OpenAlexW2067888173

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.