Open Access<p>Identification of Candidate Genes and Therapeutic Agents for Light Chain Amyloidosis Based on Bioinformatics Approach</p>
Author(s) -
Wenxiang Bai,
Wang Hong-hua,
Hua Bai
Publication year - 2020
Publication title -
pharmacogenomics and personalized medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.845
H-Index - 28
ISSN - 1178-7066
DOI - 10.2147/pgpm.s228574
Subject(s) - amyloidosis , gene , candidate gene , computational biology , al amyloidosis , kegg , bioinformatics , medicine , biology , immunoglobulin light chain , genetics , gene expression , transcriptome , pathology , antibody
Systemic amyloid light chain (AL) amyloidosis is a rare plasma cell disease. However, the regulatory mechanisms of AL amyloidosis have not been thoroughly uncovered, identification of candidate genes and therapeutic agents for this disease is crucial to provide novel insights into exploring the regulatory mechanisms underlying AL amyloidosis.