Evidence map›Paper›PMID 38727738›Full record

ArticleArchives of microbiology2024

In silico genome wide identification of long non-coding RNAs differentially expressed during Candida auris host pathogenesis.

Kartavya Mathur, Bharti Singh, Rekha Puria, Vikrant Nain

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Article in Archives of microbiology, 2024. 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
–field-weighted citation impact
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

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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.

  1. Review
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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

4 authors.

Kartavya MathurSchool of Biotechnology, Gautam Buddha University, Greater Noida, India.
Bharti SinghSchool of Biotechnology, Gautam Buddha University, Greater Noida, India.
Rekha PuriaSchool of Biotechnology, Gautam Buddha University, Greater Noida, India. rpuria@gbu.ac.in.
Vikrant NainSchool of Biotechnology, Gautam Buddha University, Greater Noida, India. vikrant@gbu.ac.in.

Funding

Indian Council of Medical Research IIRP23/4057Science and Engineering Research Board CRG/2021/003585
6 · The paper itself

Abstract

Candida auris is an invasive fungal pathogen of high concern due to acquired drug tolerance against antifungals used in clinics. The prolonged persistence on biotic and abiotic surfaces can result in onset of hospital outbreaks causing serious health threat. An in depth understanding of pathology of C. auris is highly desirable for development of efficient therapeutics. Non-coding RNAs play crucial role in fungal pathology. However, the information about ncRNAs is scanty to be utilized. Herein our aim is to identify long noncoding RNAs with potent role in pathobiology of C. auris. Thereby, we analyzed the transcriptomics data of C. auris infection in blood for identification of potential lncRNAs with regulatory role in determining invasion, survival or drug tolerance under infection conditions. Interestingly, we found 275 lncRNAs, out of which 253 matched with lncRNAs reported in Candidamine, corroborating for our accurate data analysis pipeline. Nevertheless, we obtained 23 novel lncRNAs not reported earlier. Three lncRNAs were found to be under expressed throughout the course of infection, in the transcriptomics data. 16 of potent lncRNAs were found to be coexpressed with coding genes, emphasizing for their functional role. Noteworthy, these ncRNAs are expressed from intergenic regions of the genes associated with transporters, metabolism, cell wall biogenesis. This study recommends for possible association between lncRNA expression and C. auris pathogenesis.

Indexed as

Candida aurisCandidiasisHost Microbial InteractionsRNA, Long NoncodingComputer SimulationGene Expression ProfilingGenome-Wide Association StudyHumansSepsisRNA, Long NoncodingCandida aurisCoexpressionlncRNAsMetabolismNetwork analysisPathogenesis

Identifiers

PMID38727738

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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.