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本文引用的文献

1
Integration of a multi-omics stem cell differentiation dataset using a dynamical model.使用动态模型整合多组学生物干细胞分化数据集。
PLoS Genet. 2023 May 11;19(5):e1010744. doi: 10.1371/journal.pgen.1010744. eCollection 2023 May.
2
Prioritized mass spectrometry increases the depth, sensitivity and data completeness of single-cell proteomics.优先质谱分析提高了单细胞蛋白质组学的深度、灵敏度和数据完整性。
Nat Methods. 2023 May;20(5):714-722. doi: 10.1038/s41592-023-01830-1. Epub 2023 Apr 3.
3
Sampling the proteome by emerging single-molecule and mass spectrometry methods.新兴的单分子和质谱技术对蛋白质组的采样。
Nat Methods. 2023 Mar;20(3):339-346. doi: 10.1038/s41592-023-01802-5.
4
Initial recommendations for performing, benchmarking and reporting single-cell proteomics experiments.单细胞蛋白质组学实验的操作、基准测试和报告的初步建议。
Nat Methods. 2023 Mar;20(3):375-386. doi: 10.1038/s41592-023-01785-3. Epub 2023 Mar 2.
5
Exploring functional protein covariation across single cells using nPOP.使用 nPOP 技术探索单细胞中的功能蛋白共变关系。
Genome Biol. 2022 Dec 16;23(1):261. doi: 10.1186/s13059-022-02817-5.
6
Insights into protein post-translational modification landscapes of individual human cells by trapped ion mobility time-of-flight mass spectrometry.通过被困离子淌度飞行时间质谱法深入了解单个人类细胞中的蛋白质翻译后修饰图谱。
Nat Commun. 2022 Nov 25;13(1):7246. doi: 10.1038/s41467-022-34919-w.
7
Differential nuclear import sets the timing of protein access to the embryonic genome.核输入的差异调控了蛋白对胚胎基因组的访问时间。
Nat Commun. 2022 Oct 6;13(1):5887. doi: 10.1038/s41467-022-33429-z.
8
Framework for multiplicative scaling of single-cell proteomics.单细胞蛋白质组学的乘法缩放框架。
Nat Biotechnol. 2023 Jan;41(1):23-24. doi: 10.1038/s41587-022-01411-1.
9
Increasing the throughput of sensitive proteomics by plexDIA.通过 plexDIA 提高敏感蛋白质组学的通量。
Nat Biotechnol. 2023 Jan;41(1):50-59. doi: 10.1038/s41587-022-01389-w. Epub 2022 Jul 14.
10
Single-Cell Quantitative Proteomic Analysis of Human Oocyte Maturation Revealed High Heterogeneity in In Vitro-Matured Oocytes.单细胞定量蛋白质组学分析人类卵母细胞成熟过程揭示了体外成熟卵母细胞的高度异质性。
Mol Cell Proteomics. 2022 Aug;21(8):100267. doi: 10.1016/j.mcpro.2022.100267. Epub 2022 Jul 7.

单细胞蛋白质组学:通过质谱法定量分析发育过程中的转录后调控。

Single-cell proteomics: quantifying post-transcriptional regulation during development with mass-spectrometry.

机构信息

Departments of Bioengineering, Biology, Chemistry and Chemical Biology, Single Cell Proteomics Center, and Barnett Institute, Northeastern University, Boston, MA 02115, USA.

Parallel Squared Technology Institute, Watertown, MA 02472, USA.

出版信息

Development. 2023 Jul 1;150(13). doi: 10.1242/dev.201492. Epub 2023 Jun 30.

DOI:10.1242/dev.201492
PMID:37387573
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10323229/
Abstract

Many developmental processes are regulated post-transcriptionally. Such post-transcriptional regulatory mechanisms can now be analyzed by robust single-cell mass spectrometry methods that allow accurate quantification of proteins and their modification in single cells. These methods can enable quantitative exploration of protein synthesis and degradation mechanisms that contribute to developmental cell fate specification. Furthermore, they may support functional analysis of protein conformations and activities in single cells, and thus link protein functions to developmental processes. This Spotlight provides an accessible introduction to single-cell mass spectrometry methods and suggests initial biological questions that are ripe for investigation.

摘要

许多发育过程受到转录后调控。现在,通过稳健的单细胞质谱方法可以分析这些转录后调控机制,该方法能够准确定量单个细胞中的蛋白质及其修饰。这些方法可以定量探索有助于发育细胞命运特化的蛋白质合成和降解机制。此外,它们还可以支持单个细胞中蛋白质构象和活性的功能分析,并将蛋白质功能与发育过程联系起来。本特写提供了对单细胞质谱方法的简单介绍,并提出了一些适合进行研究的初始生物学问题。