ArticleBMC research notes2018
Transcriptional network analysis on brains reveals a potential regulatory role of PPP1R3F in autism spectrum disorders.
Article in BMC research notes, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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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.
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Who cites it
4 citing papers in PubMed, 6 citations in OpenAlex.
- Biomarker prediction in autism spectrum disorder using a network-based approach.BMC medical genomics · 2023Article
- Tissue-wide cell-specific proteogenomic modeling reveals novel candidate risk genes in autism spectrum disorders.NPJ systems biology and applications · 2022Article
- The proteome and its dynamics: A missing piece for integrative multi-omics in schizophrenia.Schizophrenia research · 2020Article
- Cell Type-Specific Annotation and Fine Mapping of Variants Associated With Brain Disorders.Frontiers in genetics · 2020Article
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
Abstract
objectiveThis study aims at identifying master regulators of transcriptional networks in autism spectrum disorders (ASDs).
resultsWith two sets of independent RNA-Seq data generated on cerebellum from patients with ASDs and control subjects (N = 39 and 45 for set 1, N = 24 and 38 for set 2, respectively), we carried out a network deconvolution of transcriptomic data, followed by virtual protein activity analysis. We identified PPP1R3F (Protein Phosphatase 1 Regulatory Subunit 3F) as a candidate master regulator affecting a large body of downstream genes that are associated with the disease phenotype. Pathway analysis on the identified targets of PPP1R3F in both datasets indicated alteration of endocytosis pathway. Despite a limited sample size, our study represents one of the first applications of network deconvolution approach to brain transcriptomic data to generate hypotheses that may be further validated by large-scale studies.
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Registered trials
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