Evidence map›Paper›PMID 28751672›Full record

ArticleScientific reports2017

The LncRNA Connectivity Map: Using LncRNA Signatures to Connect Small Molecules, LncRNAs, and Diseases.

Haixiu Yang, Desi Shang, Yanjun Xu, Chunlong Zhang, Li Feng, Zeguo Sun, Xinrui Shi, Yunpeng Zhang, Junwei Han, Fei Su and 2 more

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

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.2field-weighted citation impact, top 23% 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

15 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
  2. lncHUB2: aggregated and inferred knowledge about human and mouse lncRNAs.Database : the journal of biological databases and curation · 2023
    Article
  3. Review
  4. Article
  5. Review
  6. Review
  7. From Junk to Function: LncRNAs in CNS Health and Disease.Frontiers in molecular neuroscience · 2021
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Review
  15. 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

12 authors at 1 institution in 1 country.

Haixiu YangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China.
Desi ShangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China.
Yanjun XuCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China.
Chunlong ZhangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China.
Li FengCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China.
Zeguo SunCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China.
Xinrui ShiCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China.
Yunpeng ZhangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China.
Junwei HanCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China.
Fei SuCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China.
Chunquan LiDepartment of Medical Informatics, Daqing Campus, Harbin Medical University, Daqing, 163319, China. lcqbio@aliyun.com.
Xia LiCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China. lixia@hrbmu.edu.cn.
Harbin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Well characterized the connections among diseases, long non-coding RNAs (lncRNAs) and drugs are important for elucidating the key roles of lncRNAs in biological mechanisms in various biological states. In this study, we constructed a database called LNCmap (LncRNA Connectivity Map), available at http://www.bio-bigdata.com/LNCmap/ , to establish the correlations among diseases, physiological processes, and the action of small molecule therapeutics by attempting to describe all biological states in terms of lncRNA signatures. By reannotating the microarray data from the Connectivity Map database, the LNCmap obtained 237 lncRNA signatures of 5916 instances corresponding to 1262 small molecular drugs. We provided a user-friendly interface for the convenient browsing, retrieval and download of the database, including detailed information and the associations of drugs and corresponding affected lncRNAs. Additionally, we developed two enrichment analysis methods for users to identify candidate drugs for a particular disease by inputting the corresponding lncRNA expression profiles or an associated lncRNA list and then comparing them to the lncRNA signatures in our database. Overall, LNCmap could significantly improve our understanding of the biological roles of lncRNAs and provide a unique resource to reveal the connections among drugs, lncRNAs and diseases.

Indexed as

Databases, Nucleic AcidMolecular Sequence AnnotationHumansRNA, Long NoncodingSequence Analysis, RNARNA, Long Noncoding

Identifiers

PMID28751672
PMCPMC5532316
OpenAlexW2736802640

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.