Deep profiling of cellular heterogeneity by emerging single‐cell proteomic technologies
… and cell–cell interactions and highlighting tumor heterogeneity. However, the mass cytometry
approaches … probes. Another distinct advantage of the droplet-based microfluidics for …
approaches … probes. Another distinct advantage of the droplet-based microfluidics for …
A pan-cancer blueprint of the heterogeneous tumor microenvironment revealed by single-cell profiling
… we profile 233,591 single cells from patients with lung, colorectal, ovary and breast cancer (n
= 36) and construct a pan-cancer … Our approach was less successful for cancer cells, which …
= 36) and construct a pan-cancer … Our approach was less successful for cancer cells, which …
An integrated gene expression landscape profiling approach to identify lung tumor endothelial cell heterogeneity and angiogenic candidates
… of endothelial cells (ECs) to block tumor … cancer using single-cell RNA sequencing in
combination with orthogonal bulk multi-omics approaches to provide a molecular atlas of tumor EC (…
combination with orthogonal bulk multi-omics approaches to provide a molecular atlas of tumor EC (…
Applications of single-cell sequencing in cancer research: progress and perspectives
Y Lei, R Tang, J Xu, W Wang, B Zhang, J Liu… - Journal of hematology & …, 2021 - Springer
… cells and immune cells, tumor heterogeneity, circulating … and immune cells because it can
probe cellular and … The 10X Genomics platform, which is based on a microfluidics approach, is …
probe cellular and … The 10X Genomics platform, which is based on a microfluidics approach, is …
Single-cell RNA sequencing reveals cell heterogeneity and transcriptome profile of breast cancer lymph node metastasis
K Xu, R Wang, H Xie, L Hu, C Wang, J Xu, C Zhu, Y Liu… - Oncogenesis, 2021 - nature.com
… future studies on tumor heterogeneity and pave … probe the genomic profile of breast cancer,
we applied inferCNV algorithm to analyze the copy-number variants (CNVs) of a single cell…
we applied inferCNV algorithm to analyze the copy-number variants (CNVs) of a single cell…
Single-cell omics traces the heterogeneity of prostate cancer cells and the tumor microenvironment
X Yu, R Liu, W Gao, X Wang, Y Zhang - Cellular & Molecular Biology …, 2023 - Springer
… A study [32] probed the heterogeneity of CAFs in human primary prostate cancer by two
different scRNA-seq methods (10 × Chromium and Fluidigm C1) and identified six subgroups of …
different scRNA-seq methods (10 × Chromium and Fluidigm C1) and identified six subgroups of …
Single-cell sequencing technology in tumor research
X Bai, Y Li, X Zeng, Q Zhao, Z Zhang - Clinica Chimica Acta, 2021 - Elsevier
… Tumor heterogeneity is a key characteristic of malignant … Herein, we review the steps and
methods of single-cell … Then, we isolate a single cell and move on to the downstream analysis (…
methods of single-cell … Then, we isolate a single cell and move on to the downstream analysis (…
Longitudinal single-cell profiling reveals molecular heterogeneity and tumor-immune evolution in refractory mantle cell lymphoma
… heterogeneity, we applied a computational approach (inferCNV) … than intra-tumoral
heterogeneity (Fig. 4a). We noted that … in MCL to reveal tumor heterogeneity, to track clonal …
heterogeneity (Fig. 4a). We noted that … in MCL to reveal tumor heterogeneity, to track clonal …
Investigating tumor heterogeneity in mouse models
… Cancer arises from a single cell through a series … single-cell studies where sequencing
depth has been an issue. However, these approaches lack the ability to prospectively probe cell …
depth has been an issue. However, these approaches lack the ability to prospectively probe cell …
Inter-and intra-tumor heterogeneity of metastatic prostate cancer determined by digital spatial gene expression profiling
… probes (median of 10 probes/target mRNA) for each gene of interest for a total of 18,120
probes, … In this study, we used a robust approach for quantitative spatial molecular profiling to …
probes, … In this study, we used a robust approach for quantitative spatial molecular profiling to …