myBrain-Seq

myBrain-Seq performs comprehensive analysis of microRNA sequencing (miRNA-Seq) data to identify differentially expressed miRNAs and perform pathway-enrichment analyses for neuropsychiatric research.


Key Features:

  • Reproducibility and Standardization: Integrates widely used tools to provide a standardized, reproducible workflow for miRNA-Seq analyses.
  • Quality control and preprocessing: Includes quality control and preprocessing of raw sequencing data specific to miRNA-Seq.
  • Normalization: Performs normalization of count data prior to differential expression analysis.
  • Differential Expression Analysis: Uses DESeq2 and EdgeR to identify differentially expressed microRNAs (DE miRNAs) between conditions.
  • Functional and Pathway Analysis: Conducts pathway-enrichment analyses to assign biological meaning to DE miRNAs and support biomarker identification.
  • Result integration: Integrates differential expression and pathway-enrichment results into a coherent framework highlighting potential biological pathways.

Scientific Applications:

  • Schizophrenia and treatment-resistant schizophrenia (TRS): Applied to studies of schizophrenia and TRS, including derivation of a 16-miRNA profile distinguishing TRS patients from medication-responsive patients.
  • Diagnosis and prognosis: Supports identification of diagnostic and prognostic miRNA signatures in neuropsychiatric research.
  • Mechanistic studies: Enables exploration of molecular mechanisms underlying neuropsychiatric conditions through integration of DE miRNAs and pathway-enrichment analyses.

Methodology:

Quality control and preprocessing of raw miRNA-Seq data, normalization of counts, differential expression analysis using DESeq2 and EdgeR, pathway-enrichment analyses, and integration of results into a coherent framework.

Topics

Collections

Details

License:
MIT
Maturity:
Emerging
Cost:
Free of charge
Tool Type:
command-line tool, workflow
Added:
5/31/2023
Last Updated:
11/24/2024

Operations

Data Inputs & Outputs

RNA-Seq quantification

Outputs

    Network visualisation

    Outputs

      Heat map generation

      Inputs

      Outputs

        Other operations do not define inputs or outputs.

        Publications

        Pérez-Rodríguez D, López-Fernández H, Agís-Balboa RC. Application of miRNA-seq in neuropsychiatry: A methodological perspective. Computers in Biology and Medicine. 2021;135:104603. doi:10.1016/j.compbiomed.2021.104603. PMID:34216893.

        PMID: 34216893
        Funding: - Instituto de Salud Carlos III: PI18/01311 - European Regional Development Fund: RYC2014-15246

        Pérez-Rodríguez D, Agís-Balboa RC, López-Fernández H. MyBrain-Seq: A Pipeline for MiRNA-Seq Data Analysis in Neuropsychiatric Disorders. Biomedicines. 2023;11(4):1230. doi:10.3390/biomedicines11041230. PMID:37189848. PMCID:PMC10135678.

        PMID: 37189848
        Funding: - Consellería de Educación, Universidades e Formación Profesional (Xunta de Galicia): ED431C 2022/03-GRC, ED431C2018/55-GRC, PI18/01311, TR349V - Instituto de Salud Carlos III (ISCIII): ED431C 2022/03-GRC, ED431C2018/55-GRC, PI18/01311, TR349V - Investigo Program: ED431C 2022/03-GRC, ED431C2018/55-GRC, PI18/01311, TR349V

        Pérez-Rodríguez D, Pérez-Rodríguez M, Agís-Balboa RC, López-Fernández H. Towards a Flexible and Portable Workflow for Analyzing miRNA-Seq Neuropsychiatric Data: An Initial Replicability Assessment. Lecture Notes in Networks and Systems. 2022. doi:10.1007/978-3-031-17024-9_4.

        Pérez-Rodríguez D, López-Fernández H, Agís-Balboa RC. On the Reproducibility of MiRNA-Seq Differential Expression Analyses in Neuropsychiatric Diseases. Lecture Notes in Networks and Systems. 2021. doi:10.1007/978-3-030-86258-9_5.

        Pérez-Rodríguez D, Penedo MA, Rivera-Baltanás T, Peña-Centeno T, Burkhardt S, Fischer A, Prieto-González JM, Olivares JM, López-Fernández H, Agís-Balboa RC. MiRNA Differences Related to Treatment-Resistant Schizophrenia. International Journal of Molecular Sciences. 2023;24(3):1891. doi:10.3390/ijms24031891. PMID:36768211. PMCID:PMC9916039.

        PMID: 36768211
        PMCID: PMC9916039
        Funding: - Instituto de Salud Carlos III: ED431C 2022/03-GRC, PI18/01311 - European Regional Development Fund: ED431C 2022/03-GRC, PI18/01311 - Xunta de Galicia: ED431C 2022/03-GRC, PI18/01311 - Conselleria de Cultura, Educación e Universidade: ED431C 2022/03-GRC, PI18/01311

        Documentation

        Links

        Repository
        https://hub.docker.com/r/singgroup/my-brain-seq
        (MyBrain-Seq Docker Hub repository.)
        Repository
        https://github.com/sing-group/my-brain-seq
        (MyBrain-Seq GitHub repository.)