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单细胞分析以定制治疗方案。

Single-cell analyses to tailor treatments.

机构信息

Institute for Medical Engineering & Science (IMES) and Department of Chemistry, Massachusetts Institute of Technology (MIT), Cambridge, MA 02139, USA.

Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.

出版信息

Sci Transl Med. 2017 Sep 20;9(408). doi: 10.1126/scitranslmed.aan4730.

DOI:10.1126/scitranslmed.aan4730
PMID:28931656
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5645080/
Abstract

Single-cell RNA-seq could play a key role in personalized medicine by facilitating characterization of cells, pathways, and genes associated with human diseases such as cancer.

摘要

单细胞 RNA 测序可以通过促进与癌症等人类疾病相关的细胞、途径和基因的特征描述,在个性化医疗中发挥关键作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d913/6510288/d038128c65c5/STM-09-eaan4730-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d913/6510288/d038128c65c5/STM-09-eaan4730-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d913/6510288/d038128c65c5/STM-09-eaan4730-g001.jpg

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Single-cell analyses to tailor treatments.单细胞分析以定制治疗方案。
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scFocus: Detecting branching probabilities in single-cell data with SAC.scFocus:使用SAC检测单细胞数据中的分支概率。

本文引用的文献

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Innate Immune Landscape in Early Lung Adenocarcinoma by Paired Single-Cell Analyses.通过配对单细胞分析揭示早期肺腺癌的固有免疫格局
Cell. 2017 May 4;169(4):750-765.e17. doi: 10.1016/j.cell.2017.04.014.
2
Power analysis of single-cell RNA-sequencing experiments.单细胞 RNA 测序实验的功效分析。
Nat Methods. 2017 Apr;14(4):381-387. doi: 10.1038/nmeth.4220. Epub 2017 Mar 6.
3
Seq-Well: portable, low-cost RNA sequencing of single cells at high throughput.Seq-Well:高通量、便携式、低成本的单细胞 RNA 测序。
Comput Struct Biotechnol J. 2025 May 20;27:2243-2263. doi: 10.1016/j.csbj.2025.04.036. eCollection 2025.
4
Candidate Biomarkers for Hard-to-Heal Wounds Revealed by Single-Cell RNA Sequencing of Wound Fluid in Murine Wound Models.通过小鼠伤口模型伤口液的单细胞RNA测序揭示的难愈合伤口的候选生物标志物
Wound Repair Regen. 2025 May-Jun;33(3):e70038. doi: 10.1111/wrr.70038.
5
Advancements in single-cell RNA sequencing and spatial transcriptomics: transforming biomedical research.单细胞RNA测序和空间转录组学的进展:变革生物医学研究
Acta Biochim Pol. 2025 Feb 5;72:13922. doi: 10.3389/abp.2025.13922. eCollection 2025.
6
Digital twins as global learning health and disease models for preventive and personalized medicine.数字孪生作为用于预防医学和个性化医学的全球学习健康与疾病模型。
Genome Med. 2025 Feb 7;17(1):11. doi: 10.1186/s13073-025-01435-7.
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Single-Cell Transcriptomics Sheds Light on Tumor Evolution: Perspectives from City of Hope's Clinical Trial Teams.单细胞转录组学揭示肿瘤演变:希望之城临床试验团队的观点
J Clin Med. 2024 Dec 10;13(24):7507. doi: 10.3390/jcm13247507.
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Multiomics biomarkers were not superior to clinical variables for pan-cancer screening.对于泛癌筛查,多组学生物标志物并不优于临床变量。
Commun Med (Lond). 2024 Nov 17;4(1):234. doi: 10.1038/s43856-024-00671-z.
9
Uncover spatially informed variations for single-cell spatial transcriptomics with STew.使用STew揭示单细胞空间转录组学中空间信息驱动的变异。
Bioinform Adv. 2024 May 29;4(1):vbae064. doi: 10.1093/bioadv/vbae064. eCollection 2024.
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J Transl Med. 2024 May 11;22(1):444. doi: 10.1186/s12967-024-05268-7.
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