Evidence map›Paper›PMID 27980386›Full record

ArticleCancer informatics2015

Quantitative Proteomic Approach for MicroRNA Target Prediction Based on

Xuepo Ma, Ying Zhu, Yufei Huang, Tony Tegeler, Shou-Jiang Gao, Jianqiu Zhang

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cancer informatics, 2015. 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
0.1field-weighted citation impact, top 44% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

6 authors at 2 institutions in 1 country.

Xuepo MaDepartment of Electrical and Computer Engineering, The University of Texas at San Antonio, San Antonio, TX, USA.
Ying ZhuKeck School of Medicine of USC, Los Angeles, CA, USA.
Yufei HuangDepartment of Electrical and Computer Engineering, The University of Texas at San Antonio, San Antonio, TX, USA.
Tony TegelerCenter for Proteomics, TGen, Phoenix, AZ, USA.
Shou-Jiang GaoKeck School of Medicine of USC, Los Angeles, CA, USA.
Jianqiu ZhangDepartment of Electrical and Computer Engineering, The University of Texas at San Antonio, San Antonio, TX, USA.
The University of Texas at San Antonio · USKeck Hospital of USC · US

Funding

RCMI Center for Interdiscplinary Health Research CIHRG12MD007591 · NIMHD · UNIVERSITY OF TEXAS SAN ANTONIO · PI PERRY, GEORGE · 2012 to 2016
$10.4M
Cell Model for KSHV Infection and Genetic ManipulationR01CA096512 · NCI · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI Shou-Jiang Gao · 2003 to 2026
$7.4M
Roles of the K3 and K5 in KSHV Persistence and PathogenesisP01CA180779 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI JUNG, JAE U · 2013 to 2017
$7.3M
Regulation of KSHV replication by N6-methyladenosine (m6A) - Diversity SupplementR01CA124332 · NCI · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI GAO, SHOU-JIANG · 2007 to 2025
$5.0M
Mechanism of KSHV-induced angiogenesisR01CA132637 · NCI · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI GAO, SHOU-JIANG · 2008 to 2020
$3.6M
HISTONE MODIFIERS IN ORAL KSHV INFECTION AND MALIGNANCIESR01DE025465 · NIDCR · UNIVERSITY OF SOUTHERN CALIFORNIA · PI GAO, SHOU-JIANG · 2015 to 2019
$2.0M
Targeting KSHV malignancies and persistent infectionR01CA197153 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI GAO, SHOU-JIANG · 2015 to 2019
$1.9M
NCI NIH HHS P01 CA180779NCI NIH HHS R01 CA096512NCI NIH HHS R01 CA124332NCI NIH HHS R01 CA132637NCI NIH HHS R01 CA197153NIDCR NIH HHS R01 DE025465NIMHD NIH HHS G12 MD007591
6 · The paper itself

Abstract

motivationAmong many large-scale proteomic quantification methods,

methodWe integrate several

resultWe test the developed approach in the problem of finding targets of KSHV miR-K1. The RNAs of three DEPs are identified as miR-K1 targets, among which RAB23 and HNRNPU are novel. Results from both Western blotting and Luciferase reporter assays confirm the novel targets. These results show that the developed quantitative approach based on

Indexed as

KSHVmiRNA target predictionO18 labelingproteomics

Identifiers

PMID27980386
PMCPMC5147440
OpenAlexW2573387752

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.