Literature DB >> 29941105

Single-Cell Proteomics for Cancer Immunotherapy.

Linmei Li1, Shiqiang Yan1, Bingcheng Lin1, Qihui Shi2, Yao Lu3.   

Abstract

Cancer immunotherapy fights against cancer by modulating the immune response and is delivering encouraging results in clinical treatments. However, it is challenging to achieve durable response in all cancer patients during treatment due to the diversity and dynamic nature of immune system as well as inter- and intratumor heterogeneity. A comprehensive assessment of system immunity and tumor microenvironment is crucial for effective and safe cancer therapy, which can potentially be resolved by single-cell proteomic analysis. Single-cell proteomic technologies enable system-wide profiling of protein levels in a number of single cells within the immune system and tumor microenvironment, and thereby provide direct assessment of the functional state of the immune cells and tumor-immune interaction that could be used to evaluate efficacy of immunotherapy and to improve clinical outcome. In this chapter, we summarized current single-cell proteomic technologies and their applications in cancer immunotherapy.
© 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Adoptive cell transfer; Cancer immunotherapy; Immune checkpoint blockade; Microfluidics; Single-cell proteomics

Mesh:

Substances:

Year:  2018        PMID: 29941105     DOI: 10.1016/bs.acr.2018.04.006

Source DB:  PubMed          Journal:  Adv Cancer Res        ISSN: 0065-230X            Impact factor:   6.242


  9 in total

1.  Ultrasimple Single-Cell Detection of Multiple Cytokines by a Nanowell Chip Integrated with Encoded Microarrays.

Authors:  Mohammed A A Abdullah; Jun Wang
Journal:  ACS Sens       Date:  2019-09-06       Impact factor: 7.711

Review 2.  The quest of cell surface markers for stem cell therapy.

Authors:  Anna Meyfour; Sara Pahlavan; Mehdi Mirzaei; Jeroen Krijgsveld; Hossein Baharvand; Ghasem Hosseini Salekdeh
Journal:  Cell Mol Life Sci       Date:  2020-07-24       Impact factor: 9.261

3.  Single Cell Proteomics by Data-Independent Acquisition To Study Embryonic Asymmetry in Xenopus laevis.

Authors:  Anumita Saha-Shah; Melody Esmaeili; Simone Sidoli; Hyojeong Hwang; Jing Yang; Peter S Klein; Benjamin A Garcia
Journal:  Anal Chem       Date:  2019-06-27       Impact factor: 6.986

4.  Protocol for Creating Antibodies with Complex Fluorescence Spectra.

Authors:  Madeline E McCarthy; Caitlin M Anglin; Heather A Peer; Sevanna A Boleman; Stephanie R Klaubert; Marc R Birtwistle
Journal:  Bioconjug Chem       Date:  2021-05-19       Impact factor: 4.774

5.  Lanthanide-Loaded Nanoparticles as Potential Fluorescent and Mass Probes for High-Content Protein Analysis.

Authors:  Worapol Ngamcherdtrakul; Thanapon Sangvanich; Shaun Goodyear; Moataz Reda; Shenda Gu; David J Castro; Primana Punnakitikashem; Wassana Yantasee
Journal:  Bioengineering (Basel)       Date:  2019-03-15

Review 6.  Synthetic DNA applications in information technology.

Authors:  Linda C Meiser; Bichlien H Nguyen; Yuan-Jyue Chen; Jeff Nivala; Karin Strauss; Luis Ceze; Robert N Grass
Journal:  Nat Commun       Date:  2022-01-17       Impact factor: 14.919

Review 7.  A roadmap for translational cancer glycoimmunology at single cell resolution.

Authors:  Andreia Peixoto; Andreia Miranda; Lúcio Lara Santos; José Alexandre Ferreira
Journal:  J Exp Clin Cancer Res       Date:  2022-04-15

8.  Spectral Library-Based Single-Cell Proteomics Resolves Cellular Heterogeneity.

Authors:  Lakmini Senavirathna; Cheng Ma; Ru Chen; Sheng Pan
Journal:  Cells       Date:  2022-08-07       Impact factor: 7.666

Review 9.  Single-Cell Proteomics: The Critical Role of Nanotechnology.

Authors:  Carlota Arias-Hidalgo; Pablo Juanes-Velasco; Alicia Landeira-Viñuela; Marina L García-Vaquero; Enrique Montalvillo; Rafael Góngora; Ángela-Patricia Hernández; Manuel Fuentes
Journal:  Int J Mol Sci       Date:  2022-06-16       Impact factor: 6.208

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.