• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

Modeling Multiplexed Images with Reveals Novel Tissue Microenvironments.

机构信息

Calico Life Sciences LLC, South San Francisco, California, USA.

Department of Pathology, Stanford University, Stanford, California, USA.

出版信息

J Comput Biol. 2020 Aug;27(8):1204-1218. doi: 10.1089/cmb.2019.0340. Epub 2020 Apr 3.

DOI:10.1089/cmb.2019.0340
PMID:32243203
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7415889/
Abstract
摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ad3/7415889/da6c0d559980/cmb.2019.0340_figure6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ad3/7415889/2679604e661a/cmb.2019.0340_figure1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ad3/7415889/bfc9a77d3469/cmb.2019.0340_figure2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ad3/7415889/89d30b317741/cmb.2019.0340_figure3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ad3/7415889/83057823f943/cmb.2019.0340_figure4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ad3/7415889/636a51a73260/cmb.2019.0340_figure5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ad3/7415889/da6c0d559980/cmb.2019.0340_figure6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ad3/7415889/2679604e661a/cmb.2019.0340_figure1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ad3/7415889/bfc9a77d3469/cmb.2019.0340_figure2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ad3/7415889/89d30b317741/cmb.2019.0340_figure3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ad3/7415889/83057823f943/cmb.2019.0340_figure4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ad3/7415889/636a51a73260/cmb.2019.0340_figure5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ad3/7415889/da6c0d559980/cmb.2019.0340_figure6.jpg

相似文献

1
Modeling Multiplexed Images with Reveals Novel Tissue Microenvironments.利用揭示新的组织微环境的多重图像建模。
J Comput Biol. 2020 Aug;27(8):1204-1218. doi: 10.1089/cmb.2019.0340. Epub 2020 Apr 3.
2
A Structured Tumor-Immune Microenvironment in Triple Negative Breast Cancer Revealed by Multiplexed Ion Beam Imaging.多重离子束成像揭示三阴性乳腺癌中的结构化肿瘤免疫微环境。
Cell. 2018 Sep 6;174(6):1373-1387.e19. doi: 10.1016/j.cell.2018.08.039.
3
Multiplexed imaging analysis of the tumor-immune microenvironment reveals predictors of outcome in triple-negative breast cancer.肿瘤免疫微环境的多重成像分析揭示了三阴性乳腺癌结局的预测因子。
Commun Biol. 2021 Jul 9;4(1):852. doi: 10.1038/s42003-021-02361-1.
4
Spatially distinct tumor immune microenvironments stratify triple-negative breast cancers.空间上不同的肿瘤免疫微环境将三阴性乳腺癌分层。
J Clin Invest. 2019 Apr 1;129(4):1785-1800. doi: 10.1172/JCI96313. Epub 2019 Mar 18.
5
Stratification of ovarian tumor pathology by expression of programmed cell death-1 (PD-1) and PD-ligand- 1 (PD-L1) in ovarian cancer.卵巢癌中程序性细胞死亡受体 1(PD-1)和程序性死亡配体 1(PD-L1)表达的卵巢肿瘤病理学分层。
J Ovarian Res. 2018 May 30;11(1):43. doi: 10.1186/s13048-018-0414-z.
6
Assay-agnostic spatial profiling detects tumor microenvironment signatures: new diagnostic insights for triple-negative breast cancer.无分析物检测的空间蛋白质组分析检测肿瘤微环境特征:三阴性乳腺癌的新诊断见解。
Mol Oncol. 2023 Oct;17(10):1953-1961. doi: 10.1002/1878-0261.13515. Epub 2023 Sep 11.
7
Role of immune microenvironment in gastrointestinal stromal tumours.免疫微环境在胃肠道间质瘤中的作用。
Histopathology. 2018 Feb;72(3):405-413. doi: 10.1111/his.13382. Epub 2017 Nov 21.
8
Phosphatidylserine-targeting antibodies augment the anti-tumorigenic activity of anti-PD-1 therapy by enhancing immune activation and downregulating pro-oncogenic factors induced by T-cell checkpoint inhibition in murine triple-negative breast cancers.靶向磷脂酰丝氨酸的抗体通过增强免疫激活和下调小鼠三阴性乳腺癌中由T细胞检查点抑制诱导的促癌因子,增强抗PD-1疗法的抗肿瘤活性。
Breast Cancer Res. 2016 May 11;18(1):50. doi: 10.1186/s13058-016-0708-2.
9
Multispectral quantitative immunohistochemical analysis of tumor-infiltrating lymphocytes in relation to programmed death-ligand 1 expression in triple-negative breast cancer.三阴性乳腺癌中与程序性死亡配体1表达相关的肿瘤浸润淋巴细胞的多光谱定量免疫组织化学分析
Breast Cancer. 2020 Jul;27(4):519-526. doi: 10.1007/s12282-020-01110-2. Epub 2020 May 23.
10
BRD4 inhibition suppresses PD-L1 expression in triple-negative breast cancer.BRD4 抑制可抑制三阴性乳腺癌中 PD-L1 的表达。
Exp Cell Res. 2020 Jul 15;392(2):112034. doi: 10.1016/j.yexcr.2020.112034. Epub 2020 Apr 24.

引用本文的文献

1
Scalable topic modelling decodes spatial tissue architecture for large-scale multiplexed imaging analysis.可扩展主题建模为大规模多重成像分析解码空间组织结构。
Nat Commun. 2025 Jul 18;16(1):6619. doi: 10.1038/s41467-025-61821-y.
2
Spatial and single cell mapping of castleman disease reveals key stromal cell types and cytokine pathways.卡斯特曼病的空间和单细胞图谱揭示了关键的基质细胞类型和细胞因子途径。
Nat Commun. 2025 Jul 1;16(1):6009. doi: 10.1038/s41467-025-61214-1.
3
Robust self-supervised machine learning for single cell embeddings and annotations.

本文引用的文献

1
A Structured Tumor-Immune Microenvironment in Triple Negative Breast Cancer Revealed by Multiplexed Ion Beam Imaging.多重离子束成像揭示三阴性乳腺癌中的结构化肿瘤免疫微环境。
Cell. 2018 Sep 6;174(6):1373-1387.e19. doi: 10.1016/j.cell.2018.08.039.
2
Deep Profiling of Mouse Splenic Architecture with CODEX Multiplexed Imaging.利用 CODEX 多重成像技术对小鼠脾脏结构进行深度剖析。
Cell. 2018 Aug 9;174(4):968-981.e15. doi: 10.1016/j.cell.2018.07.010. Epub 2018 Aug 2.
3
Functional and Homeostatic Impact of Age-Related Changes in Lymph Node Stroma.
用于单细胞嵌入和注释的强大自监督机器学习
bioRxiv. 2025 Jun 8:2025.06.05.658097. doi: 10.1101/2025.06.05.658097.
4
Metabolomics as a tool for understanding and treating triple-negative breast cancer.代谢组学作为理解和治疗三阴性乳腺癌的一种工具。
Naunyn Schmiedebergs Arch Pharmacol. 2025 May 2. doi: 10.1007/s00210-025-04234-4.
5
Learning tissue representation by identification of persistent local patterns in spatial omics data.通过识别空间组学数据中的持续局部模式来学习组织表征。
Nat Commun. 2025 Apr 30;16(1):4071. doi: 10.1038/s41467-025-59448-0.
6
SpaceBF: Spatial coexpression analysis using Bayesian Fused approaches in spatial omics datasets.SpaceBF:在空间组学数据集中使用贝叶斯融合方法进行空间共表达分析。
bioRxiv. 2025 Jun 22:2025.03.29.646124. doi: 10.1101/2025.03.29.646124.
7
Quantitative characterization of tissue states using multiomics and ecological spatial analysis.使用多组学和生态空间分析对组织状态进行定量表征。
Nat Genet. 2025 Apr;57(4):910-921. doi: 10.1038/s41588-025-02119-z. Epub 2025 Apr 1.
8
STModule: identifying tissue modules to uncover spatial components and characteristics of transcriptomic landscapes.STModule:识别组织模块以揭示转录组景观的空间组成部分和特征。
Genome Med. 2025 Mar 3;17(1):18. doi: 10.1186/s13073-025-01441-9.
9
Identification and characterization of cell niches in tissue from spatial omics data at single-cell resolution.在单细胞分辨率下从空间组学数据中鉴定和表征组织中的细胞生态位。
Nat Commun. 2025 Feb 16;16(1):1693. doi: 10.1038/s41467-025-57029-9.
10
Spatial Patterning Analysis of Cellular Ensembles (SPACE) finds complex spatial organization at the cell and tissue levels.细胞集合体的空间模式分析(SPACE)在细胞和组织水平发现了复杂的空间组织。
Proc Natl Acad Sci U S A. 2025 Feb 11;122(6):e2412146122. doi: 10.1073/pnas.2412146122. Epub 2025 Feb 4.
淋巴结基质中与年龄相关变化的功能和稳态影响
Front Immunol. 2017 Jun 14;8:706. doi: 10.3389/fimmu.2017.00706. eCollection 2017.
4
Resistance Mechanisms to Immune-Checkpoint Blockade in Cancer: Tumor-Intrinsic and -Extrinsic Factors.癌症免疫检查点阻断的耐药机制:肿瘤内在和外在因素。
Immunity. 2016 Jun 21;44(6):1255-69. doi: 10.1016/j.immuni.2016.06.001.
5
Spatiotemporal dynamics of intratumoral immune cells reveal the immune landscape in human cancer.肿瘤内免疫细胞的时空动态揭示了人类癌症中的免疫景观。
Immunity. 2013 Oct 17;39(4):782-95. doi: 10.1016/j.immuni.2013.10.003.
6
The continuum of cancer immunosurveillance: prognostic, predictive, and mechanistic signatures.癌症免疫监视的连续性:预后、预测和机制特征。
Immunity. 2013 Jul 25;39(1):11-26. doi: 10.1016/j.immuni.2013.07.008.
7
Architectural changes in the thymus of aging mice.衰老小鼠胸腺的结构变化。
Aging Cell. 2008 Mar;7(2):158-67. doi: 10.1111/j.1474-9726.2007.00365.x. Epub 2008 Jan 28.
8
Type, density, and location of immune cells within human colorectal tumors predict clinical outcome.人类结肠直肠癌肿瘤内免疫细胞的类型、密度和位置可预测临床结果。
Science. 2006 Sep 29;313(5795):1960-4. doi: 10.1126/science.1129139.
9
The human thymic microenvironment: new approaches to functional analysis.人类胸腺微环境:功能分析的新方法
Semin Immunol. 1999 Feb;11(1):13-21. doi: 10.1006/smim.1998.0148.