Evidence map›Paper›PMID 26355456›Full record

ArticlePloS one2015

Investigation of the Application of miR10b and miR135b in the Identification of Semen Stains.

Dayue Tong, Yi Jin, Tianyu Xue, Xiaoyan Ma, Jinxiang Zhang, Xueling Ou, Jianding Cheng, Hongyu Sun

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 37% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Advances in body fluid identification: MiRNA markers as powerful tool.International journal of legal medicine · 2024
    Pooled it
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. MicroRNAs: An Update of Applications in Forensic Science.Diagnostics (Basel, Switzerland) · 2020
    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 2 institutions in 1 country.

Dayue TongForensic Biology Section, Zhongshan Schoool of Medicine, Sun Yat-Sen University, Guangzhou, 510080, China.
Yi JinDepartment of Pathology, the Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou, 510630, China.
Tianyu XueForensic Biology Section, Zhongshan Schoool of Medicine, Sun Yat-Sen University, Guangzhou, 510080, China.
Xiaoyan MaForensic Biology Section, Zhongshan Schoool of Medicine, Sun Yat-Sen University, Guangzhou, 510080, China.
Jinxiang ZhangForensic Biology Section, Zhongshan Schoool of Medicine, Sun Yat-Sen University, Guangzhou, 510080, China.
Xueling OuForensic Biology Section, Zhongshan Schoool of Medicine, Sun Yat-Sen University, Guangzhou, 510080, China.
Jianding ChengForensic Biology Section, Zhongshan Schoool of Medicine, Sun Yat-Sen University, Guangzhou, 510080, China.
Hongyu SunForensic Biology Section, Zhongshan Schoool of Medicine, Sun Yat-Sen University, Guangzhou, 510080, China.
Sun Yat-sen University · CNThird Affiliated Hospital of Sun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To evaluate the identification method using the microRNA markers miR10b and miR135b to distinguish semen stains from menstrual blood, peripheral blood, vaginal fluid and so on body fluid stains. The expression levels of miR10b and miR35b in semen stains and menstrual blood and so on were detected utilizing a real-time quantitative PCR technique with a specific fluorescence-labeled TaqMan probe. RNU6b was used as the internal reference gene; the difference in their expression was analyzed, and the specificity, sensitivity, and detection capability of the techniques were evaluated. The expression of miR10b and miR135b in semen stains was significantly higher than that of other body fluid stains, with a mean value of ΔCт from-6 to-7. However, it ranged from-2 to-4 for other body fluid stains. The initial criteria for judging which semen stains can be identified were determined by analyzing the research results. When the threshold value was set to 0.04, the CT value could be detected in the target genes miR10b, miR135b and in the internal reference gene RNU6b, and CT values are<40, ΔCT[10b-U6]<-5.5, and ΔCT[135b-U6]<-6, respectively, and the semen stain could be identified. The expression levels of miR10b and miR135b are higher in semen with strong tissue specificity; thus, they can be used to differentiate semen stains from other body fluid stains in forensic science.

Indexed as

Staining and LabelingAdultBiomarkersGene Expression RegulationHumansMaleMicroRNAsReal-Time Polymerase Chain ReactionReproducibility of ResultsSemenSensitivity and SpecificityBiomarkersMicroRNAsMIRN10 microRNA, humanMIRN135 microRNA, human

Identifiers

PMID26355456
PMCPMC4565637
OpenAlexW2279039854

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.