Evidence map›Paper›PMID 34296748›Full record

ReviewDatabase : the journal of biological databases and curation2021

Web tools to perform long non-coding RNAs analysis in oncology research.

Shixing Gu, Guangjie Zhang, Qin Si, Jiawen Dai, Zhen Song, Yingshuang Wang

Open access · goldAbstract readReview
In one paragraph

Review in Database : the journal of biological databases and curation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 53% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. Review
  3. 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.

Shixing GuCollege of Medical Technology, Chengdu University of Traditional Chinese Medicine, No.1166 Liutai Road, Chengdu, Sichuan 611137, China.
Guangjie ZhangCollege of Medical Technology, Chengdu University of Traditional Chinese Medicine, No.1166 Liutai Road, Chengdu, Sichuan 611137, China.
Qin SiCollege of Medical Technology, Chengdu University of Traditional Chinese Medicine, No.1166 Liutai Road, Chengdu, Sichuan 611137, China.
Jiawen DaiCollege of Medical Technology, Chengdu University of Traditional Chinese Medicine, No.1166 Liutai Road, Chengdu, Sichuan 611137, China.
Zhen SongCollege of Medical Technology, Chengdu University of Traditional Chinese Medicine, No.1166 Liutai Road, Chengdu, Sichuan 611137, China.
Yingshuang WangCollege of Medical Technology, Chengdu University of Traditional Chinese Medicine, No.1166 Liutai Road, Chengdu, Sichuan 611137, China.
Chengdu University of Traditional Chinese Medicine · CNChengdu Fifth People's Hospital · CN

Funding

Foundation of Xinglin Scholar Research Premotion Project of Chengdu University of TCM CGZH2018005National Natural Science Foundation of China 82003001Xinglin Scholar Research Premotion Project of Chengdu University of TCM CGZH2018005Xinglin Scholar Research Premotion Project of Chengdu University of TCM ZRYY1920
6 · The paper itself

Abstract

Accumulated evidence suggests that the widely expressed long-non-coding RNAs (lncRNAs) are involved in biogenesis. Some aberrant lncRNAs are closely related to pathological changes, for instance, in cancer. Both in tumorigenesis and cancer progression, depending on the interplay with cellular molecules, lncRNAs can modulate transcriptional interference, chromatin remodeling, post-translational regulation and protein modification, and further interfere with signaling pathways. Aiming to the diagnosis/ prognosis markers or potential therapeutical targets, it is important to figure out the specific mechanism and the tissue-specific expressing patterns of lncRNAs. Generally, the bioinformatics analysis is the first step. More and more in silico databases are increasing. But the existing integrative online platforms' functions are not only having their unique features but also share some common features, which may lead to a waste of time for researchers. Here, we reviewed these web tools according to the functions. For each database, we clarified the data source, analysis method and the evidence that the analysis result is derived from. This review also illustrated examples in practical use for a specific lncRNA by these web tools. It will provide convenience for researchers to quickly choose the appropriate bioinformatics web tools in oncology studies.

Indexed as

NeoplasmsRNA, Long NoncodingComputational BiologyHumansProtein Processing, Post-TranslationalSignal TransductionRNA, Long Noncoding

Identifiers

PMID34296748
PMCPMC8299716
OpenAlexW3186313761

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.