PUKYONG

Identification of marker genes for immune-related tissues in the Siberian sturgeon Acipenser baerii using transcriptomic analysis

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Abstract
Immune marker genes define as genes that are highly expressed in an immune cell, tissue, and/or organ type but are lowly expressed in other organ types. These genes are key to the analysis of RNA transcription data, which make them good candidates for subsequent in-depth immunological experimental studies and developing support systems for immunological diagnosis, prognosis and monitoring. However, little is known about immune marker genes that contribute to distinct tissue types associated with immune responses in fish. In this study, we performed transcriptome analysis to identify immune marker genes for each of the kidney, liver and spleen in the Siberian sturgeon (Acipenser baerii) that phylogenetically occupies the most basal position below the teleost clade in ray-finned fish. The top 3 immune marker genes were chosen in each tissue i.e. Kidney, liver and spleen. The parameter for choosing the immune marker genes was based on TPM (Transcripts per million) value > 100 and a log difference of ≥5 between each tissue (Kidney, Liver and Spleen). Based on the chosen parameters we identified that in the kidney CTRP9, LRRC19 and PRG3, in the liver C1S, C8A, and C3A and in the spleen CCL25, CCL19 and MAFA genes were the top3 highly specific immune marker genes present in siberian sturgeon
Author(s)
KUMAR MRUTYUNJAY
Issued Date
2022
Awarded Date
2022. 8
Type
Dissertation
Publisher
부경대학교
URI
https://repository.pknu.ac.kr:8443/handle/2021.oak/32698
http://pknu.dcollection.net/common/orgView/200000643955
Alternative Author(s)
Mrutyunjay Kumar
Affiliation
Pukyong National University, Graduate School
Department
대학원 수산생물학과
Advisor
Nam Yoon Kwon
Table Of Contents
I-Introduction 1
II-Materials and methodology 5
2.1.Transcriptomic analysis 5
2.2.Functional annotation of the genes 5
2.3.Sorting of immune genes in liver, kidney and spleen 5
2.4.Immunr marker genes selection 6
2.5.Sequence and structural analysis 7
III-Result and discussion 8
3.1.Transcriptomic analysis result 8
3.2.Immune marker genes selection result 13
3.3.Functional annotation of DEGs 15
3.4.Bio-informatics sequence analysis 21
IV-Summary and reference 35
Summary 35
Reference 36
Degree
Master
Appears in Collections:
대학원 > 수산생물학과
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