Single Cell RNA Sequencing in Breast Cancer

A special issue of Cancers (ISSN 2072-6694). This special issue belongs to the section "Molecular Cancer Biology".

Deadline for manuscript submissions: 15 May 2024 | Viewed by 2496

Special Issue Editor


E-Mail Website
Guest Editor
1. UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA 15260, USA
2. Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, PA 15260, USA
3. CMU-Pitt Ph.D. Program in Computational Biology, Pittsburgh, PA, USA
4. Department of Bioengineering, Swanson School of Engineering, University of Pittsburgh, Pittsburgh, PA 15260, USA
Interests: single-cell analysis; cancer precision medicine; microfluidics; machine learning; gene sequencing
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Cellular heterogeneity is a hallmark of multicellular life, giving organisms form and function by facilitating specialization. With such ubiquity, it is unsurprising that this heterogeneity controls pathogenesis in many diseases. Due to cancer cells’ genomic and epigenetic instability, tumors are notorious for inter-patient and intra-patient heterogeneity that confounds biomarker assays and treatment. One of the most common types of cancer in women is breast cancer, which encompasses many diseases defined by their heterogeneity. Using single-cell RNA sequencing (scRNA-Seq), complex heterogeneous tumors can be analyzed at individual cell resolution, which overcomes the limitations of bulk RNA sequencing. This emerging method can determine molecular characteristics, explore the mechanisms of breast cancer metastasis, and, most importantly, lead to novel therapeutic targets and precise treatment management that are urgently needed in breast cancer treatment.

We are pleased to invite you to contribute to this Special Issue of Cancers, which aims to provide research leading to novel insights into breast cancer single-cell RNA sequencing. In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:

  • Single-cell transcriptional sequencing;
  • Tumor heterogeneity;
  • Genetic heterogeneity and phenotypic variation of breast cancer cells;
  • Novel biomarkers;
  • Mechanisms of drug resistance;
  • New therapeutic targets;
  • The breast cancer microenvironment;
  • Breast cancer metastasis.

I look forward to receiving your contributions.

Dr. Yu-Chih Chen
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Cancers is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2900 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • single-cell RNA sequencing
  • scRNA-seq
  • heterogeneity
  • single-cell transcriptome
  • breast cancer

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Review

32 pages, 11394 KiB  
Review
Advancing Breast Cancer Heterogeneity Analysis: Insights from Genomics, Transcriptomics and Proteomics at Bulk and Single-Cell Levels
by Zijian Zhu, Lai Jiang and Xianting Ding
Cancers 2023, 15(16), 4164; https://doi.org/10.3390/cancers15164164 - 18 Aug 2023
Cited by 5 | Viewed by 2153
Abstract
Breast cancer continues to pose a significant healthcare challenge worldwide for its inherent molecular heterogeneity. This review offers an in-depth assessment of the molecular profiling undertaken to understand this heterogeneity, focusing on multi-omics strategies applied both in traditional bulk and single-cell levels. Genomic [...] Read more.
Breast cancer continues to pose a significant healthcare challenge worldwide for its inherent molecular heterogeneity. This review offers an in-depth assessment of the molecular profiling undertaken to understand this heterogeneity, focusing on multi-omics strategies applied both in traditional bulk and single-cell levels. Genomic investigations have profoundly informed our comprehension of breast cancer, enabling its categorization into six intrinsic molecular subtypes. Beyond genomics, transcriptomics has rendered deeper insights into the gene expression landscape of breast cancer cells. It has also facilitated the formulation of more precise predictive and prognostic models, thereby enriching the field of personalized medicine in breast cancer. The comparison between traditional and single-cell transcriptomics has identified unique gene expression patterns and facilitated the understanding of cell-to-cell variability. Proteomics provides further insights into breast cancer subtypes by illuminating intricate protein expression patterns and their post-translational modifications. The adoption of single-cell proteomics has been instrumental in this regard, revealing the complex dynamics of protein regulation and interaction. Despite these advancements, this review underscores the need for a holistic integration of multiple ‘omics’ strategies to fully decipher breast cancer heterogeneity. Such integration not only ensures a comprehensive understanding of breast cancer’s molecular complexities, but also promotes the development of personalized treatment strategies. Full article
(This article belongs to the Special Issue Single Cell RNA Sequencing in Breast Cancer)
Show Figures

Figure 1

Back to TopTop