Advancements in Single-Cell Proteomics and Mass Spectrometry-Based Techniques for Unmasking Cellular Diversity in Triple Negative Breast Cancer

Overview

Journal Proteomics Clin Appl

Specialty Biochemistry

Date 2024 Nov 21

PMID 39568435

Authors

Lakshmi Vineela Nalla

Aarika Kanukolanu

Madhuri Yeduvaka

Siva Nageswara Rao Gajula

Affiliations

Soon will be listed here.

Abstract

Background: Triple-negative breast cancer (TNBC) is an aggressive and complex subtype of breast cancer characterized by a lack of targeted treatment options. Intratumoral heterogeneity significantly drives disease progression and complicates therapeutic responses, necessitating advanced analytical approaches to understand its underlying biology. This review aims to explore the advancements in single-cell proteomics and their application in uncovering cellular diversity in TNBC. It highlights innovations in sample preparation, mass spectrometry-based techniques, and the potential for integrating proteomics into multi-omics platforms.

Methods: The review discusses the combination of improved sample preparation methods and cutting-edge mass spectrometry techniques in single-cell proteomics. It emphasizes the challenges associated with protein analysis, such as the inability to amplify proteins akin to transcripts, and examines strategies to overcome these limitations.

Results: Single-cell proteomics provides a direct link to phenotype and cell behavior, complementing transcriptomic approaches and offering new insights into the mechanisms driving TNBC. The integration of advanced techniques has enabled deeper exploration of cellular heterogeneity and disease mechanisms.

Conclusion: Despite the challenges, single-cell proteomics holds immense potential to evolve into a high-throughput and scalable multi-omics platform. Addressing existing hurdles will enable deeper biological insights, ultimately enhancing the diagnosis and treatment of TNBC.

Citing Articles

From Complexity to Clarity: Expanding Metabolome Coverage With Innovative Analytical Strategies.

Aarika K, Rajyalakshmi R, Nalla L, Gajula S J Sep Sci. 2025; 48(2):e70099.

PMID: 39968702 PMC: 11836935. DOI: 10.1002/jssc.70099.

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