Evidence map›Paper›PMID 38357659›Full record

ArticleBioinformatics and biology insights2024

Comparative Transcriptomics Data Profiling Reveals E2F Targets as an Important Biological Pathway Overexpressed in Intellectual Disability Disorder.

Prekshi Garg, Farrukh Jamal, Prachi Srivastava

Open access · goldAbstract read
In one paragraph

Article in Bioinformatics and biology insights, 2024. 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
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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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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3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

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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

3 authors at 1 institution in 1 country.

Prekshi GargAmity Institute of Biotechnology, Amity University Uttar Pradesh, Lucknow Campus, Lucknow, India.
Farrukh JamalDepartment of Biochemistry, Dr Rammanohar Lohia Avadh University, Ayodhya, India.
Prachi SrivastavaAmity Institute of Biotechnology, Amity University Uttar Pradesh, Lucknow Campus, Lucknow, India.
Dr. Ram Manohar Lohia Avadh University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Intellectual disability (ID) is an early childhood neurodevelopmental disorder that is characterized by impaired intellectual functioning and adaptive behavior. It is one of the major concerns in the field of neurodevelopmental disorders across the globe. Diversified approaches have been put forward to overcome this problem. Among all these approaches, high throughput transcriptomic analysis has taken an important dimension. The identification of genes causing ID rapidly increased over the past 3 to 5 years owing to the use of sophisticated high throughput sequencing platforms. Early monitoring and preventions are much important for such disorder as their progression occurs during fetal development. This study is an attempt to identify differentially expressed genes (DEGs) and upregulated biological processes involved in development of ID patients through comparative analysis of available transcriptomics data. A total of 7 transcriptomic studies were retrieved from National Center for Biotechnology Information (NCBI) and were subjected to quality check and trimming prior to alignment. The normalization and differential expression analysis were carried out using DESeq2 and EdgeR packages of Rstudio to identify DEGs in ID. In progression of the study, functional enrichment analysis of the results obtained from both DESeq2 and EdgeR was done using gene set enrichment analysis (GSEA) tool to identify major upregulated biological processes involved in ID. Our findings concluded that monitoring the level of E2F targets, estrogen, and genes related to oxidative phosphorylation, DNA repair, and glycolysis during the developmental stage of an individual can help in the early detection of ID disorder.

Indexed as

comparative transcriptome analysisdifferential gene expression analysisfunctional enrichmentIntellectual disabilityneurodevelopmental delay

Identifiers

PMID38357659
PMCPMC10865946
OpenAlexW4391826181

What OpenQuestion holds

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LicenceCC BY-NC
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