Proceedings of the Joint 3rd International Conference on Bioinformatics and Data Science (ICBDS 2022)

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Transcriptomic Analysis of the Receptors Implicated in Schizophenia

Authors
Anjali Jha1, *, I. A. Shylesh Murthy2, Preenon Bagchi1, 2, 3
1Padmashree Institute of Management and Sciences, Bengaluru, India
2Vasishth Academy of Advanced Studies and Research (Sarvasumana Association), Bengaluru, India
3MGM Institute of Biosciences and Technology, Aurangabad, India
*Corresponding author. Email: meanjalijha1@gmail.com
Corresponding Author
Anjali Jha
Available Online 5 June 2023.
DOI
10.2991/978-94-6463-164-7_4How to use a DOI?
Keywords
Schizophrenia; Metatranscriptomics analysis; RNA-seq; data; SRA; Krona
Abstract

Schizophrenia is a chronic, severe mental disorder that affects the way a person thinks, acts, expresses emotions, perceives reality, and relates to others. Metatranscriptomics analysis enables understanding of how the micro biome responds to the environment by studying the functional analysis of genes expressed by the microbiome. Galaxy was used for Metatranscriptomics analysis. Schizophrenia RNA-seq data SRR15629349, SRR15629350, SRR15629351 and SRR15629352 were retrieved from SRA database. The quality of the reads using the FASTQC tool before and after trimming was assessed. The results of FASTQC tool of all the sequences are combined to MultiQC. As per MultiQC results we see that bad, duplicate and overlapping reads are removed by Trimmomatic tool. De novo transcriptome reconstruction with RNA-Seq pipeline was used to identify the expressed genes in our genome. Further Transcriptome assembly was done. The differential gene expression analysis of our sequence was using FeatureCounts to count reads per transcript which was followed by DESeq2 to generate normalized transcript counts.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the Joint 3rd International Conference on Bioinformatics and Data Science (ICBDS 2022)
Series
Advances in Health Sciences Research
Publication Date
5 June 2023
ISBN
10.2991/978-94-6463-164-7_4
ISSN
2468-5739
DOI
10.2991/978-94-6463-164-7_4How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Anjali Jha
AU  - I. A. Shylesh Murthy
AU  - Preenon Bagchi
PY  - 2023
DA  - 2023/06/05
TI  - Transcriptomic Analysis of the Receptors Implicated in Schizophenia
BT  - Proceedings of the Joint 3rd International Conference on Bioinformatics and Data Science (ICBDS 2022)
PB  - Atlantis Press
SP  - 31
EP  - 49
SN  - 2468-5739
UR  - https://doi.org/10.2991/978-94-6463-164-7_4
DO  - 10.2991/978-94-6463-164-7_4
ID  - Jha2023
ER  -