Evidence map›Paper›PMID 26400237›Full record

ArticleBMC genomics2015

Transfer RNA detection by small RNA deep sequencing and disease association with myelodysplastic syndromes.

Yan Guo, Amma Bosompem, Sanjay Mohan, Begum Erdogan, Fei Ye, Kasey C Vickers, Quanhu Sheng, Shilin Zhao, Chung-I Li, Pei-Fang Su and 4 more

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

29 citing papers in PubMed, 52 citations in OpenAlex.

  1. Article
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  6. Emerging Functions for snoRNAs and snoRNA-Derived Fragments.International journal of molecular sciences · 2021
    Review
  7. Article
  8. tRFTars: predicting the targets of tRNA-derived fragments.Journal of translational medicine · 2021
    Article
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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

14 authors at 6 institutions in 2 countries.

Yan GuoDepartment of Cancer Biology, Vanderbilt University Medical Center, Nashville, TN, USA. Yan.guo@vanderbilt.edu.
Amma BosompemDepartment of Pathology, Immunology, and Microbiology, Vanderbilt University Medical Center, Nashville, TN, USA. Amma.bosompem@vanderbilt.edu.
Sanjay MohanDepartment of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA. Sanjay.mohan@vanderbilt.edu.
Begum ErdoganDepartment of Pathology, Immunology, and Microbiology, Vanderbilt University Medical Center, Nashville, TN, USA. begum.erdogan@vanderbilt.edu.
Fei YeDepartment of Biostatistics, Vanderbilt University, Nashville, TN, USA. fei.ye@vanderbilt.edu.
Kasey C VickersDepartment of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA. Kasey.c.vickers@vanderbilt.edu.
Quanhu ShengDepartment of Cancer Biology, Vanderbilt University Medical Center, Nashville, TN, USA. Quanhu.sheng@vanderbilt.edu.
Shilin ZhaoDepartment of Cancer Biology, Vanderbilt University Medical Center, Nashville, TN, USA. shilin.zhao@vanderbilt.edu.
Chung-I LiDepartment of Applied Mathematics, National Chiayi University, Chiayi City, Taiwan. chunyilee1@gmail.com.
Pei-Fang SuDepartment of Statistics, National Cheng Kung University, Tainan City, Taiwan. pfsu@mail.ncku.edu.tw.
Madan JagasiaDepartment of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA. Madan.Jagasia@vanderbilt.edu.
Stephen A StricklandDepartment of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA. stephen.strickland@vanderbilt.edu.
Elizabeth A GriffithsRoswell Park Cancer Institute, Elm & Carlton Sts, Buffalo, NY, USA. Elizabeth.griffiths@Roswellpark.org.
Annette S KimDepartment of Pathology, Immunology, and Microbiology, Vanderbilt University Medical Center, Nashville, TN, USA. akim@partners.org.
Vanderbilt University Medical Center · USBrigham and Women's Hospital · USNational Cheng Kung University · TWNational Chiayi University · TWRoswell Park Comprehensive Cancer Center · USVanderbilt University · US

Funding

Tumor Immunology and Microenvironment Research ProgramP30CA068485 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI MATTHEW J TYSKA · 1995 to 2026
$172.8M
Two-Spirit Films in Indigenous Cancer HealthP30CA016056 · NCI · ROSWELL PARK CANCER INSTITUTE CORP · PI MARK G FRATTINI · 1985 to 2026
$116.6M
Non-coding RNA & Bioinformatics CoreP01HL116263 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI DAVIES, SEAN STEPHEN · 2014 to 2025
$24.7M
HDL-microRNA Intercellular Communication in AtherosclerosisR01HL128996 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI VICKERS, KASEY C · 2015 to 2019
$2.3M
NCI NIH HHS 5P30 CA068485NCI NIH HHS P30 CA016056NCI NIH HHS P30 CA068485NCI NIH HHS P30CA068485NHLBI NIH HHS P01 HL116263NHLBI NIH HHS R01 HL128996
6 · The paper itself

Abstract

backgroundAlthough advances in sequencing technologies have popularized the use of microRNA (miRNA) sequencing (miRNA-seq) for the quantification of miRNA expression, questions remain concerning the optimal methodologies for analysis and utilization of the data. The construction of a miRNA sequencing library selects RNA by length rather than type. However, as we have previously described, miRNAs represent only a subset of the species obtained by size selection. Consequently, the libraries obtained for miRNA sequencing also contain a variety of additional species of small RNAs. This study looks at the prevalence of these other species obtained from bone marrow aspirate specimens and explores the predictive value of these small RNAs in the determination of response to therapy in myelodysplastic syndromes (MDS).

methodsPaired pre and post treatment bone marrow aspirate specimens were obtained from patients with MDS who were treated with either azacytidine or decitabine (24 pre-treatment specimens, 23 post-treatment specimens) with 22 additional non-MDS control specimens. Total RNA was extracted from these specimens and submitted for next generation sequencing after an additional size exclusion step to enrich for small RNAs. The species of small RNAs were enumerated, single nucleotide variants (SNVs) identified, and finally the differential expression of tRNA-derived species (tDRs) in the specimens correlated with diseasestatus and response to therapy.

resultsUsing miRNA sequencing data generated from bone marrow aspirate samples of patients with known MDS (N = 47) and controls (N = 23), we demonstrated that transfer RNA (tRNA) fragments (specifically tRNA halves, tRHs) are one of the most common species of small RNA isolated from size selection. Using tRNA expression values extracted from miRNA sequencing data, we identified six tRNA fragments that are differentially expressed between MDS and normal samples. Using the elastic net method, we identified four tRNAs-derived small RNAs (tDRs) that together can explain 67 % of the variation in treatment response for MDS patients. Similar analysis of specifically mitochondrial tDRs (mt-tDRs) identified 13 mt-tDRs which distinguished disease status in the samples and a single mt-tDR which predited response. Finally, 14 SNVs within the tDRs were found in at least 20 % of the MDS samples and were not observed in any of the control specimens. DISCUSSION: This study highlights the prevalence of tDRs in RNA-seq studies focused on small RNAs. The potential etiologies of these species, both technical and biologic, are discussed as well as important challenges in the interpretation of tDR data.

conclusionsOur analysis results suggest that tRNA fragments can be accurately detected through miRNA sequencing data and that the expression of these species may be useful in the diagnosis of MDS and the prediction of response to therapy.

Indexed as

AgedBase SequenceFemaleGene Expression RegulationHigh-Throughput Nucleotide SequencingHumansMaleMicroRNAsMyelodysplastic SyndromesRNA, TransferMicroRNAsRNA, Transfer

Identifiers

PMID26400237
PMCPMC4581457
OpenAlexW2112453062

What OpenQuestion holds

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Registered trials

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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.