Evidence map›Paper›PMID 34376779›Full record

ArticleLaboratory investigation; a journal of technical methods and pathology2021

Long transcripts minus touchdown qPCR (LTMT-qPCR): a simplified and convenient method for the screening and quantification of microRNA profiles.

Xi Wang, Yixiao Feng, Shixian Zhou, Xiaorong Yang, Yan Liu, Qi Peng, Xuehua Kong, Lan Zhou, Zongyue Zeng

Abstract readValidation Study
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In one paragraph

Article in Laboratory investigation; a journal of technical methods and pathology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

Xi Wang *Department of Laboratory Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Yixiao Feng *Department of Endocrine and Breast Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Shixian ZhouDepartment of Pathology, Central Hospital of Jiangjin District, Chongqing, China.
Xiaorong YangChongqing Institute for Food and Drug Control, Chongqing, China.
Yan LiuKey Laboratory of Diagnostic Medicine Designated by the Ministry of Education, Department of Laboratory Medicine, Chongqing Medical University, Chongqing, China.
Qi PengKey Laboratory of Diagnostic Medicine Designated by the Ministry of Education, Department of Laboratory Medicine, Chongqing Medical University, Chongqing, China.
Xuehua KongKey Laboratory of Diagnostic Medicine Designated by the Ministry of Education, Department of Laboratory Medicine, Chongqing Medical University, Chongqing, China.
Lan ZhouKey Laboratory of Diagnostic Medicine Designated by the Ministry of Education, Department of Laboratory Medicine, Chongqing Medical University, Chongqing, China.
Zongyue ZengDepartment of Laboratory Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China. zengzongyue@126.com.ORCID http://orcid.org/0000-0002-4333-5412

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Due to the short length and differences in abundance of microRNAs, microRNA profile screening and quantification is challenging. In this study, we found that size selection magnetic beads could be employed to easily and efficiently remove long RNA transcripts. After removing the long transcripts, the remaining small RNAs could be concentrated and then reverse-transcribed using universal stem-loop primers (USLP), with six randomized nucleotides at the 3' end region. The efficiency of reverse transcription decreased when the number of randomized nucleotides was reduced. In addition, we found that touchdown qPCR improved microRNA profile detection, with lower C

Indexed as

Cell Line, TumorGene Expression ProfilingHEK293 CellsHumansMicroRNAsPolymerase Chain ReactionMicroRNAs

Identifiers

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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.