已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

A Pan-Cancer Single-Cell Transcriptomic Atlas of Natural Killer (NK) Cells Reveals Intrinsic and Extrinsic Mediators of NK Cell Anti-Tumor Functions

生物 自然杀伤细胞 表型 转录组 细胞 癌细胞 癌症 免疫学 单细胞分析 淋巴因子激活杀伤细胞 肿瘤微环境 癌症研究 免疫系统 细胞毒性T细胞 白细胞介素21 T细胞 基因 基因表达 遗传学 体外
作者
John R. Lozada,Atef Ali,Abderrahman Day,Jacob A. Myers,Ella Boytim,Hannah E. Bergom,Nicholas A. Zorko,Martin Felices,Jeffrey S. Miller,Justin H. Hwang,Frank Cichocki
出处
期刊:Blood [American Society of Hematology]
卷期号:142 (Supplement 1): 2547-2547
标识
DOI:10.1182/blood-2023-187347
摘要

Background: Natural killer (NK) cells are critical mediators of anti-tumor immunity, engaging in direct cytotoxic responses and promoting pro-inflammatory immune microenvironments. The molecular mechanisms underlying these functions, however, have yet to be fully elucidated. This is due in part to a lack of understanding of the phenotypic and functional diversity of NK cells across cancer types. Here, we present a single-cell transcriptomic atlas of >250,000 NK cells spanning 340 patients across 17 cancer types to advance our understanding of tumor-infiltrating NK cells. Methods: We re-analyzed publicly available single-cell RNA-sequencing (scRNA-seq) datasets of primary, therapy-naïve tumors, as well as matching peripheral blood samples and healthy donor blood samples. We employed systematic computational analyses to deconvolute the phenotypic and functional diversity of tumor-infiltrating NK cells and define key regulators of NK cell functions in both a cancer type-specific and pan-cancer manner. Feature expression module scoring was used to infer phenotypic and functional characteristics of NK cell clusters in each cancer type. Transcription factor regulon and cell-cell communication prediction algorithms were applied to understand the mechanistic drivers of NK cell populations within tumors. Results: Tumor-infiltrating NK cells display distinct patterns of phenotypic and functional features across cancer types. Nonetheless, we identify consensus NK cell populations across cancers that demonstrate the utility and performance of our gene module-based phenotypic and functional annotations. Interestingly, we observe the enrichment of adaptive-like and CD56 bright NK cell populations in tumors that exhibit features of tissue residency, including the upregulation of ITGA1, ITGAE, and CD69 alongside the downregulation of FCG3RA. Notably, these tissue-resident populations display enhanced chemokine and cytokine activity compared to their recruited counterparts, suggesting the significance of tissue-resident NK cell populations in immune recruitment to tumors. We find the phenotypic composition of intra-tumoral NK cells is vastly different than that of circulating NK cells which harbor predominantly CD56 dim populations, as well as a significant proportion of adaptive-like NK cells in several cancer types. Leveraging the paired nature of several tumor and peripheral blood samples, we performed temporal comparative analyses that revealed the robust expression of KLF2 and S1PR5 in circulation which is then lost in paired tumor tissues. While KLF2 and S1PR5 have been previously implicated in the homing and migration of immune cells, their roles in the trafficking of NK cells to tumors have yet to be defined. In modeling transitions from canonical to stressed NK cell states, we not only identify well-established NK cell checkpoints ( TIM-3, LAG3, and CISH) but also identify novel putative checkpoints yet to be investigated in NK cells, such as the AP-1 family of transcription factors. Additionally, we examine extrinsic factors contributing to intra-tumoral NK cell phenotypes, detecting significant crosstalk between NK cells and immunomodulatory macrophages and CD4+ T cells mediated by galectin-9 and TGFβ interactions. Conclusions: We define the phenotypic and functional pan-cancer landscape of NK cells and uncover both intrinsic and extrinsic factors influencing their anti-tumor functions. We envision our NK cell atlas will facilitate the development of strategies to enhance NK cell-based immunotherapies against cancer.

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
星辰大海应助wanghb616采纳,获得10
1秒前
Tian发布了新的文献求助10
1秒前
SciGPT应助keyantong采纳,获得10
1秒前
2秒前
jiayo发布了新的文献求助10
5秒前
李李李完成签到,获得积分20
5秒前
Arw完成签到,获得积分20
7秒前
8秒前
tangtang应助xia采纳,获得30
10秒前
张boy完成签到,获得积分10
11秒前
徐晨曦发布了新的文献求助10
11秒前
zcx完成签到,获得积分10
13秒前
科研通AI6应助Tom_and_jerry采纳,获得10
16秒前
17秒前
传奇3应助不想睡觉采纳,获得10
18秒前
lucky完成签到,获得积分10
20秒前
21秒前
qu发布了新的文献求助10
22秒前
22秒前
月关完成签到 ,获得积分10
23秒前
24秒前
24秒前
25秒前
26秒前
阿玖发布了新的文献求助30
26秒前
123发布了新的文献求助10
27秒前
SGOM发布了新的文献求助10
27秒前
haha完成签到 ,获得积分10
28秒前
FashionBoy应助蓝色条纹衫采纳,获得10
29秒前
丰富青文发布了新的文献求助10
29秒前
30秒前
wxyshare应助SGOM采纳,获得10
32秒前
小丑完成签到 ,获得积分10
32秒前
王晓航发布了新的文献求助10
32秒前
Hale完成签到,获得积分0
34秒前
杨程羽完成签到 ,获得积分10
35秒前
大模型应助柚被啊呜一口采纳,获得10
36秒前
lucky发布了新的文献求助10
36秒前
37秒前
37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
List of 1,091 Public Pension Profiles by Region 1001
Latent Class and Latent Transition Analysis: With Applications in the Social, Behavioral, and Health Sciences 500
On the application of advanced modeling tools to the SLB analysis in NuScale. Part I: TRACE/PARCS, TRACE/PANTHER and ATHLET/DYN3D 500
L-Arginine Encapsulated Mesoporous MCM-41 Nanoparticles: A Study on In Vitro Release as Well as Kinetics 500
Washback Research in Language Assessment:Fundamentals and Contexts 400
Haematolymphoid Tumours (Part A and Part B, WHO Classification of Tumours, 5th Edition, Volume 11) 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5469745
求助须知:如何正确求助?哪些是违规求助? 4572753
关于积分的说明 14336952
捐赠科研通 4499697
什么是DOI,文献DOI怎么找? 2465145
邀请新用户注册赠送积分活动 1453707
关于科研通互助平台的介绍 1428209