将AML分化状态放在BoneMarrowMap上。

IF 11.5 Q1 HEMATOLOGY

Blood Cancer Discovery Pub Date : 2025-04-28 DOI:10.1158/2643-3230.BCD-25-0083

Jonas Berger, Livius Penter

{"title":"将AML分化状态放在BoneMarrowMap上。","authors":"Jonas Berger, Livius Penter","doi":"10.1158/2643-3230.BCD-25-0083","DOIUrl":null,"url":null,"abstract":"This article presents a novel computational tool, \"BoneMarrowMap,\" that enables the mapping of leukemic single-cell RNA sequencing datasets to hematopoietic differentiation states. By utilizing BoneMarrowMap for a large-scale single-cell RNA sequencing reanalysis, the authors discover 12 recurrent acute myeloid leukemia differentiation patterns linked to prognosis and treatment and dissect leukemic clonal architectures within individual patients. See related article by Zeng and colleagues, p. XX.","PeriodicalId":29944,"journal":{"name":"Blood Cancer Discovery","volume":" ","pages":"OF1-OF4"},"PeriodicalIF":11.5000,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Putting AML Differentiation States on the BoneMarrowMap.\",\"authors\":\"Jonas Berger, Livius Penter\",\"doi\":\"10.1158/2643-3230.BCD-25-0083\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article presents a novel computational tool, \\\"BoneMarrowMap,\\\" that enables the mapping of leukemic single-cell RNA sequencing datasets to hematopoietic differentiation states. By utilizing BoneMarrowMap for a large-scale single-cell RNA sequencing reanalysis, the authors discover 12 recurrent acute myeloid leukemia differentiation patterns linked to prognosis and treatment and dissect leukemic clonal architectures within individual patients. See related article by Zeng and colleagues, p. XX.\",\"PeriodicalId\":29944,\"journal\":{\"name\":\"Blood Cancer Discovery\",\"volume\":\" \",\"pages\":\"OF1-OF4\"},\"PeriodicalIF\":11.5000,\"publicationDate\":\"2025-04-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Blood Cancer Discovery\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1158/2643-3230.BCD-25-0083\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"HEMATOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Blood Cancer Discovery","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1158/2643-3230.BCD-25-0083","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"HEMATOLOGY","Score":null,"Total":0}

引用次数: 0

摘要

本文介绍了一种新的计算工具“BoneMarrowMap”，它可以将白血病单细胞RNA测序数据集映射到造血分化状态。通过利用BoneMarrowMap进行大规模单细胞RNA测序再分析，作者发现了12种与预后和治疗相关的复发性急性髓系白血病分化模式，并解剖了个体患者的白血病克隆结构。参见Zeng等人的相关文章，第XX页。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Putting AML Differentiation States on the BoneMarrowMap.

This article presents a novel computational tool, "BoneMarrowMap," that enables the mapping of leukemic single-cell RNA sequencing datasets to hematopoietic differentiation states. By utilizing BoneMarrowMap for a large-scale single-cell RNA sequencing reanalysis, the authors discover 12 recurrent acute myeloid leukemia differentiation patterns linked to prognosis and treatment and dissect leukemic clonal architectures within individual patients. See related article by Zeng and colleagues, p. XX.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Blood Cancer Discovery Multiple-

CiteScore

12.70

自引率

1.80%

发文量

139

期刊介绍： The journal Blood Cancer Discovery publishes high-quality Research Articles and Briefs that focus on major advances in basic, translational, and clinical research of leukemia, lymphoma, myeloma, and associated diseases. The topics covered include molecular and cellular features of pathogenesis, therapy response and relapse, transcriptional circuits, stem cells, differentiation, microenvironment, metabolism, immunity, mutagenesis, and clonal evolution. These subjects are investigated in both animal disease models and high-dimensional clinical data landscapes. The journal also welcomes submissions on new pharmacological, biological, and living cell therapies, as well as new diagnostic tools. They are interested in prognostic, diagnostic, and pharmacodynamic biomarkers, and computational and machine learning approaches to personalized medicine. The scope of submissions ranges from preclinical proof of concept to clinical trials and real-world evidence. Blood Cancer Discovery serves as a forum for diverse ideas that shape future research directions in hematooncology. In addition to Research Articles and Briefs, the journal also publishes Reviews, Perspectives, and Commentaries on topics of broad interest in the field.