Desai, SS and Whadgar, S and Raghavan, SC and Choudhary, B (2022) MiRAGDB: A Knowledgebase of RAG Regulators. In: Frontiers in Immunology, 13 .
|
PDF
jou_mol_str_1251_2022 .pdf - Published Version Download (1MB) | Preview |
Abstract
RAG1 and RAG2 genes generate diversity in immunoglobulin and TCR genes by initiating the process of V-D-J recombination. RAGs recognize specific sequences (heptamer-nonamer) to generate a diversity of immunoglobulins. RAG expression is limited to early B and T cell developmental stages. Aberrant expression of RAG can lead to double strand breaks and translocations as observed in leukemia and lymphoma. The expression of RAG is tightly regulated at the transcriptional and posttranscriptional levels. MicroRNAs (miRNAs) are small non-coding RNAs that are involved in the post-transcriptional regulation of gene expression. This study aimed to identify and catalog RAG regulation by miRNA during normal development and cancer. NGS data from normal B-cell and T-cell developmental stages and blood cancer samples have been analyzed for the expression of miRNAs against RAG1 (1,173 against human RAG1 and 749 against mouse RAG1). The analyzed data has been organized to retrieve the miRNA and mRNA expression of various RAG regulators (10 transcription factors and interacting partners) in normal and diseased states. The database allows users to navigate through the human and mouse RAG regulators, visualize and plot expression. miRAGDB is freely available and can be accessed at http://52.4.112.252/shiny/miragdb/.
Item Type: | Journal Article |
---|---|
Publication: | Frontiers in Immunology |
Publisher: | Frontiers Media S.A. |
Additional Information: | The copyright for this article belongs to the Authors. |
Keywords: | microRNA; homeodomain protein, acute lymphoblastic leukemia; Article; B lymphocyte; bioinformatics; chronic lymphatic leukemia; conceptual framework; data base; gene; gene expression; gene interaction; genetic variability; hematologic malignancy; high throughput sequencing; human; nonhuman; phenotype; prediction; recombination activating gene 1; recombination activating gene 2; RNA sequence; scoring system; T lymphocyte; transcriptome sequencing; animal; genetics; knowledge base; lymphoma; metabolism; mouse; VDJ recombination, Animals; Homeodomain Proteins; Knowledge Bases; Lymphoma; Mice; MicroRNAs; V(D)J Recombination |
Department/Centre: | Division of Biological Sciences > Biochemistry |
Date Deposited: | 05 Jul 2022 05:31 |
Last Modified: | 05 Jul 2022 05:31 |
URI: | https://eprints.iisc.ac.in/id/eprint/73745 |
Actions (login required)
![]() |
View Item |