Evidence map›Paper›PMID 36923795›Full record

ArticleFrontiers in genetics2023

A novel approach to analyze the association characteristics between post-spliced introns and their corresponding mRNA.

Suling Bo, Qiuying Sun, Pengfei Ning, Ningping Yuan, Yujie Weng, Ying Liang, Huitao Wang, Zhanyuan Lu, Zhongxian Li, Xiaoqing Zhao

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

Article in Frontiers in genetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 43% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

10 authors at 2 institutions in 1 country.

Suling BoCollege of Computer Information, Inner Mongolia Medical University, Hohhot, China.
Qiuying SunDepartment of Oncology, Inner Mongolia Cancer Hospital and The Affiliated People's Hospital of Inner Mongolia Medical University, Hohhot, China.
Pengfei NingCollege of Computer Information, Inner Mongolia Medical University, Hohhot, China.
Ningping YuanCollege of Computer Information, Inner Mongolia Medical University, Hohhot, China.
Yujie WengCollege of Computer Information, Inner Mongolia Medical University, Hohhot, China.
Ying LiangCollege of Computer Information, Inner Mongolia Medical University, Hohhot, China.
Huitao WangCollege of Computer Information, Inner Mongolia Medical University, Hohhot, China.
Zhanyuan LuInner Mongolia Academy of Agricultural and Animal Husbandry Sciences, Hohhot, China.
Zhongxian LiCollege of Computer Information, Inner Mongolia Medical University, Hohhot, China.
Xiaoqing ZhaoInner Mongolia Academy of Agricultural and Animal Husbandry Sciences, Hohhot, China.
Inner Mongolia Medical University · CNInner Mongolia University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Studies have shown that post-spliced introns promote cell survival when nutrients are scarce, and intron loss/gain can influence many stages of mRNA metabolism. However, few approaches are currently available to study the correlation between intron sequences and their corresponding mature mRNA sequences. Here, based on the results of the improved Smith-Waterman local alignment-based algorithm method (SW method) and binding free energy weighted local alignment algorithm method (BFE method), the optimal matched segments between introns and their corresponding mature mRNAs in

Indexed as

alignment methodevolutionary processinteractionintronmRNA

Identifiers

PMID36923795
PMCPMC10008863
OpenAlexW4322506638

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read16
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.