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基于微流控技术的 MS 免疫肽组学样品制备自动化工作流程。

A microfluidics-enabled automated workflow of sample preparation for MS-based immunopeptidomics.

机构信息

Ludwig Institute for Cancer Research, University of Lausanne, Rue du Bugnon 25A, 1005 Lausanne, Switzerland.

Department of Oncology, Centre Hospitalier Universitaire Vaudois (CHUV), Rue du Bugnon 46, 1005 Lausanne, Switzerland.

出版信息

Cell Rep Methods. 2023 May 19;3(6):100479. doi: 10.1016/j.crmeth.2023.100479. eCollection 2023 Jun 26.

Abstract

Mass spectrometry (MS)-based immunopeptidomics is an attractive antigen discovery method with growing clinical implications. However, the current experimental approach to extract HLA-restricted peptides requires a bulky sample source, which remains a challenge for obtaining clinical specimens. We present an innovative workflow that requires a low sample volume, which streamlines the immunoaffinity purification (IP) and C18 peptide cleanup on a single microfluidics platform with automated liquid handling and minimal sample transfers, resulting in higher assay sensitivity. We also demonstrate how the state-of-the-art data-independent acquisition (DIA) method further enhances the depth of tandem MS spectra-based peptide sequencing. Consequently, over 4,000 and 5,000 HLA-I-restricted peptides were identified from as few as 0.2 million RA957 cells and a melanoma tissue of merely 5 mg, respectively. We also identified multiple immunogenic tumor-associated antigens and hundreds of peptides derived from non-canonical protein sources. This workflow represents a powerful tool for identifying the immunopeptidome of sparse samples.

摘要

基于质谱(MS)的免疫肽组学是一种很有吸引力的抗原发现方法,具有越来越多的临床意义。然而,目前提取 HLA 限制性肽的实验方法需要大量的样本来源,这仍然是获得临床标本的一个挑战。我们提出了一种创新的工作流程,需要的样本量很少,它简化了免疫亲和纯化(IP)和 C18 肽的清洗,在单个微流控平台上进行自动化液体处理和最小的样本转移,从而提高了检测的灵敏度。我们还展示了如何使用最先进的数据非依赖性采集(DIA)方法进一步提高基于串联 MS 谱的肽测序的深度。因此,从仅 0.2 百万个 RA957 细胞和 5 毫克的黑色素瘤组织中,分别鉴定出了超过 4000 个和 5000 个 HLA-I 限制性肽。我们还鉴定了多个免疫原性肿瘤相关抗原和数百个来自非经典蛋白源的肽。该工作流程代表了一种从稀疏样本中鉴定免疫肽组的强大工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2814/10326370/1994383c769d/fx1.jpg

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