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Identification of a drug-response gene in multiple myeloma through longitudinal single-cell transcriptome sequencing
Despite recent therapeutic advances for multiple myeloma (MM), relapse is very common. Here, we conducted longitudinal single-cell transcriptome sequencing (scRNA-seq) of MM cells from a patient with relapsed MM, treated with multiple anti-myeloma drugs. We observed five subclusters of MM cells, whi...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9386061/ https://www.ncbi.nlm.nih.gov/pubmed/35992084 http://dx.doi.org/10.1016/j.isci.2022.104781 |
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author | Masuda, Toru Haji, Shojiro Nakashima, Yasuhiro Tsuda, Mariko Kimura, Daisaku Takamatsu, Akiko Iwahashi, Norifusa Umakoshi, Hironobu Shiratsuchi, Motoaki Kikutake, Chie Suyama, Mikita Ohkawa, Yasuyuki Ogawa, Yoshihiro |
author_facet | Masuda, Toru Haji, Shojiro Nakashima, Yasuhiro Tsuda, Mariko Kimura, Daisaku Takamatsu, Akiko Iwahashi, Norifusa Umakoshi, Hironobu Shiratsuchi, Motoaki Kikutake, Chie Suyama, Mikita Ohkawa, Yasuyuki Ogawa, Yoshihiro |
author_sort | Masuda, Toru |
collection | PubMed |
description | Despite recent therapeutic advances for multiple myeloma (MM), relapse is very common. Here, we conducted longitudinal single-cell transcriptome sequencing (scRNA-seq) of MM cells from a patient with relapsed MM, treated with multiple anti-myeloma drugs. We observed five subclusters of MM cells, which appeared and/or disappeared in response to the therapeutic pressure, and identified cluster 3 which emerged during lenalidomide treatment and disappeared after proteasome inhibitor (PI) treatment. Among the differentially expressed genes in cluster 3, we found a candidate drug-response gene; pellino E3 ubiquitin-protein ligase family member 2 (PELI2), which is responsible for PI-induced cell death in in vitro assay. Kaplan-Meier survival analysis of database revealed that higher expression of PELI2 is associated with a better prognosis. Our integrated strategy combining longitudinal scRNA-seq analysis, in vitro functional assay, and database analysis would facilitate the understanding of clonal dynamics of MM in response to anti-myeloma drugs and identification of drug-response genes. |
format | Online Article Text |
id | pubmed-9386061 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-93860612022-08-19 Identification of a drug-response gene in multiple myeloma through longitudinal single-cell transcriptome sequencing Masuda, Toru Haji, Shojiro Nakashima, Yasuhiro Tsuda, Mariko Kimura, Daisaku Takamatsu, Akiko Iwahashi, Norifusa Umakoshi, Hironobu Shiratsuchi, Motoaki Kikutake, Chie Suyama, Mikita Ohkawa, Yasuyuki Ogawa, Yoshihiro iScience Article Despite recent therapeutic advances for multiple myeloma (MM), relapse is very common. Here, we conducted longitudinal single-cell transcriptome sequencing (scRNA-seq) of MM cells from a patient with relapsed MM, treated with multiple anti-myeloma drugs. We observed five subclusters of MM cells, which appeared and/or disappeared in response to the therapeutic pressure, and identified cluster 3 which emerged during lenalidomide treatment and disappeared after proteasome inhibitor (PI) treatment. Among the differentially expressed genes in cluster 3, we found a candidate drug-response gene; pellino E3 ubiquitin-protein ligase family member 2 (PELI2), which is responsible for PI-induced cell death in in vitro assay. Kaplan-Meier survival analysis of database revealed that higher expression of PELI2 is associated with a better prognosis. Our integrated strategy combining longitudinal scRNA-seq analysis, in vitro functional assay, and database analysis would facilitate the understanding of clonal dynamics of MM in response to anti-myeloma drugs and identification of drug-response genes. Elsevier 2022-07-19 /pmc/articles/PMC9386061/ /pubmed/35992084 http://dx.doi.org/10.1016/j.isci.2022.104781 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Article Masuda, Toru Haji, Shojiro Nakashima, Yasuhiro Tsuda, Mariko Kimura, Daisaku Takamatsu, Akiko Iwahashi, Norifusa Umakoshi, Hironobu Shiratsuchi, Motoaki Kikutake, Chie Suyama, Mikita Ohkawa, Yasuyuki Ogawa, Yoshihiro Identification of a drug-response gene in multiple myeloma through longitudinal single-cell transcriptome sequencing |
title | Identification of a drug-response gene in multiple myeloma through longitudinal single-cell transcriptome sequencing |
title_full | Identification of a drug-response gene in multiple myeloma through longitudinal single-cell transcriptome sequencing |
title_fullStr | Identification of a drug-response gene in multiple myeloma through longitudinal single-cell transcriptome sequencing |
title_full_unstemmed | Identification of a drug-response gene in multiple myeloma through longitudinal single-cell transcriptome sequencing |
title_short | Identification of a drug-response gene in multiple myeloma through longitudinal single-cell transcriptome sequencing |
title_sort | identification of a drug-response gene in multiple myeloma through longitudinal single-cell transcriptome sequencing |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9386061/ https://www.ncbi.nlm.nih.gov/pubmed/35992084 http://dx.doi.org/10.1016/j.isci.2022.104781 |
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