Pre-existing stem cell heterogeneity dictates clonal responses to the acquisition of leukemic driver mutations

生物 干细胞 癌症的体细胞进化 遗传学 突变 计算生物学 癌症研究 细胞生物学 进化生物学 基因
作者
Indranil Singh,Daniel Fernández-Pérez,Pedro Sanchez Sanchez,Alejo Rodriguez-Fraticelli
出处
期刊:Cell Stem Cell [Elsevier]
被引量:1
标识
DOI:10.1016/j.stem.2025.01.012
摘要

Cancer cells display wide phenotypic variation even across patients with the same mutations. Differences in the cell of origin provide a potential explanation, but traditional assays lack the resolution to distinguish clonally heterogeneous subsets of stem and progenitor cells. To address this challenge, we developed simultaneous tracking of recombinase activation and clonal kinetics (STRACK), a method to trace clonal dynamics and gene expression before and after the acquisition of cancer mutations. Using mouse models, we studied two leukemic mutations, Dnmt3a-R878H and Npm1c, and found that their effect was highly variable across different stem cell states. Specifically, a subset of differentiation-primed stem cells, which normally becomes outcompeted with time, expands with both mutations. Intriguingly, Npm1c mutations reversed the intrinsic bias of the clone of origin, with differentiation-primed stem cells giving rise to more primitive malignant states. Thus, we highlight the relevance of single-cell lineage tracing to unravel early events in cancer evolution and posit that different cellular histories carry distinct cancer phenotypic potential.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
irisjlj发布了新的文献求助10
刚刚
1秒前
顺顺安完成签到,获得积分10
1秒前
摩尔曼斯克完成签到,获得积分10
2秒前
虚拟的清炎完成签到 ,获得积分10
2秒前
2秒前
2秒前
sharkmelon应助Amo采纳,获得10
2秒前
3秒前
wabfye完成签到,获得积分20
3秒前
3秒前
星辰大海应助明天的我采纳,获得10
3秒前
iNk应助科科采纳,获得10
3秒前
4秒前
4秒前
zgrmws应助怡然的夏之采纳,获得10
5秒前
量子星尘发布了新的文献求助10
5秒前
5秒前
5秒前
5秒前
thunder完成签到,获得积分10
6秒前
哈哈哈完成签到,获得积分10
6秒前
KAZEN发布了新的文献求助20
6秒前
满意的聋五完成签到,获得积分10
7秒前
7秒前
漫漫完成签到,获得积分10
7秒前
英姑应助高贵的如曼采纳,获得10
7秒前
7秒前
斯文的馒头完成签到,获得积分10
7秒前
8秒前
8秒前
8秒前
8秒前
桐桐应助欢欢采纳,获得30
8秒前
cablebot发布了新的文献求助10
9秒前
梦会故乡发布了新的文献求助10
9秒前
niNe3YUE应助结实的XMZ采纳,获得10
9秒前
科目三应助mlx采纳,获得10
9秒前
gstaihn发布了新的文献求助10
10秒前
zhihaiyu完成签到,获得积分10
10秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Translanguaging in Action in English-Medium Classrooms: A Resource Book for Teachers 700
Exploring Nostalgia 500
Natural Product Extraction: Principles and Applications 500
Exosomes Pipeline Insight, 2025 500
Qualitative Data Analysis with NVivo By Jenine Beekhuyzen, Pat Bazeley · 2024 500
Advanced Memory Technology: Functional Materials and Devices 400
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5667567
求助须知:如何正确求助?哪些是违规求助? 4886514
关于积分的说明 15120741
捐赠科研通 4826376
什么是DOI,文献DOI怎么找? 2583992
邀请新用户注册赠送积分活动 1538029
关于科研通互助平台的介绍 1496163