TY - JOUR
T1 - Long-read sequencing for 29 immune cell subsets reveals disease-linked isoforms
AU - Inamo, Jun
AU - Suzuki, Akari
AU - Ueda, Mahoko Takahashi
AU - Yamaguchi, Kensuke
AU - Nishida, Hiroshi
AU - Suzuki, Katsuya
AU - Kaneko, Yuko
AU - Takeuchi, Tsutomu
AU - Hatano, Hiroaki
AU - Ishigaki, Kazuyoshi
AU - Ishihama, Yasushi
AU - Yamamoto, Kazuhiko
AU - Kochi, Yuta
N1 - Publisher Copyright:
© The Author(s) 2024.
PY - 2024/12
Y1 - 2024/12
N2 - Alternative splicing events are a major causal mechanism for complex traits, but they have been understudied due to the limitation of short-read sequencing. Here, we generate a full-length isoform annotation of human immune cells from an individual by long-read sequencing for 29 cell subsets. This contains a number of unannotated transcripts and isoforms such as a read-through transcript of TOMM40-APOE in the Alzheimer’s disease locus. We profile characteristics of isoforms and show that repetitive elements significantly explain the diversity of unannotated isoforms, providing insight into the human genome evolution. In addition, some of the isoforms are expressed in a cell-type specific manner, whose alternative 3’-UTRs usage contributes to their specificity. Further, we identify disease-associated isoforms by isoform switch analysis and by integration of several quantitative trait loci analyses with genome-wide association study data. Our findings will promote the elucidation of the mechanism of complex diseases via alternative splicing.
AB - Alternative splicing events are a major causal mechanism for complex traits, but they have been understudied due to the limitation of short-read sequencing. Here, we generate a full-length isoform annotation of human immune cells from an individual by long-read sequencing for 29 cell subsets. This contains a number of unannotated transcripts and isoforms such as a read-through transcript of TOMM40-APOE in the Alzheimer’s disease locus. We profile characteristics of isoforms and show that repetitive elements significantly explain the diversity of unannotated isoforms, providing insight into the human genome evolution. In addition, some of the isoforms are expressed in a cell-type specific manner, whose alternative 3’-UTRs usage contributes to their specificity. Further, we identify disease-associated isoforms by isoform switch analysis and by integration of several quantitative trait loci analyses with genome-wide association study data. Our findings will promote the elucidation of the mechanism of complex diseases via alternative splicing.
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U2 - 10.1038/s41467-024-48615-4
DO - 10.1038/s41467-024-48615-4
M3 - Article
C2 - 38806455
AN - SCOPUS:85194860338
SN - 2041-1723
VL - 15
JO - Nature communications
JF - Nature communications
IS - 1
M1 - 4285
ER -