BD2K-LINCS DCIC, Mount Sinai Center for Bioinformatics, Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
BD2K-LINCS DCIC, Mount Sinai Center for Bioinformatics, Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Cell Syst. 2018 Jan 24;6(1):13-24. doi: 10.1016/j.cels.2017.11.001. Epub 2017 Nov 29.
The Library of Integrated Network-Based Cellular Signatures (LINCS) is an NIH Common Fund program that catalogs how human cells globally respond to chemical, genetic, and disease perturbations. Resources generated by LINCS include experimental and computational methods, visualization tools, molecular and imaging data, and signatures. By assembling an integrated picture of the range of responses of human cells exposed to many perturbations, the LINCS program aims to better understand human disease and to advance the development of new therapies. Perturbations under study include drugs, genetic perturbations, tissue micro-environments, antibodies, and disease-causing mutations. Responses to perturbations are measured by transcript profiling, mass spectrometry, cell imaging, and biochemical methods, among other assays. The LINCS program focuses on cellular physiology shared among tissues and cell types relevant to an array of diseases, including cancer, heart disease, and neurodegenerative disorders. This Perspective describes LINCS technologies, datasets, tools, and approaches to data accessibility and reusability.
整合网络细胞特征图谱库（LINCS）是 NIH 共同基金计划，它对人类细胞如何对化学、遗传和疾病干扰做出全球响应进行编目。LINCS 生成的资源包括实验和计算方法、可视化工具、分子和成像数据以及特征图谱。通过整合人类细胞对多种干扰的响应范围的综合信息，LINCS 计划旨在更好地了解人类疾病并推进新疗法的开发。正在研究的干扰包括药物、遗传干扰、组织微环境、抗体和致病突变。通过转录谱分析、质谱分析、细胞成像和生化方法等检测手段来测量对干扰的响应。LINCS 计划专注于组织和细胞类型之间共享的细胞生理学，这些组织和细胞类型与多种疾病相关，包括癌症、心脏病和神经退行性疾病。本文介绍了 LINCS 技术、数据集、工具以及数据可访问性和可重用性的方法。
