Single-Cell RNA Sequencing Analysis of the Heterogeneity in Gene Regulatory Networks in Colorectal Cancer

Single-Cell Transcriptomic Approaches for Decoding Non-Coding RNA Mechanisms in Colorectal Cancer

Non-coding RNAs (ncRNAs) play crucial roles in colorectal cancer (CRC) development and progression. Recent developments in single-cell transcriptome profiling methods have revealed surprising levels of expression variability among seemingly homogeneous cells, suggesting the existence of many more cell types than previously estimated. This review synthesizes recent advances in ncRNA research in CRC, emphasizing single-cell bioinformatics approaches for their analysis. We explore computational methods and tools used for ncRNA identification, characterization, and functional prediction in CRC, with a focus on single-cell RNA sequencing (scRNA-seq) data. The review highlights key bioinformatics strategies, including sequence-based and structure-based approaches, machine learning applications, and multi-omics data integration. We discuss how these computational techniques can be applied to analyze differential expression, perform functional enrichment, and construct regulatory networks involving ncRNAs in CRC. Additionally, we examine the role of bioinformatics in leveraging ncRNAs as diagnostic and prognostic biomarkers for CRC. We also discuss recent scRNA-seq studies revealing ncRNA heterogeneity in CRC. This review aims to provide a comprehensive overview of the current state of single-cell bioinformatics in ncRNA CRC research and outline future directions in this rapidly evolving field, emphasizing the integration of computational approaches with experimental validation to advance our understanding of ncRNA biology in CRC.

Advancements in single-cell RNA sequencing and spatial transcriptomics: transforming biomedical research

In recent years, significant advancements in biochemistry, materials science, engineering, and computer-aided testing have driven the development of high-throughput tools for profiling genetic information. Single-cell RNA sequencing (scRNA-seq) technologies have established themselves as key tools for dissecting genetic sequences at the level of single cells. These technologies reveal cellular diversity and allow for the exploration of cell states and transformations with exceptional resolution. Unlike bulk sequencing, which provides population-averaged data, scRNA-seq can detect cell subtypes or gene expression variations that would otherwise be overlooked. However, a key limitation of scRNA-seq is its inability to preserve spatial information about the RNA transcriptome, as the process requires tissue dissociation and cell isolation. Spatial transcriptomics is a pivotal advancement in medical biotechnology, facilitating the identification of molecules such as RNA in their original spatial context within tissue sections at the single-cell level. This capability offers a substantial advantage over traditional single-cell sequencing techniques. Spatial transcriptomics offers valuable insights into a wide range of biomedical fields, including neurology, embryology, cancer research, immunology, and histology. This review highlights single-cell sequencing approaches, recent technological developments, associated challenges, various techniques for expression data analysis, and their applications in disciplines such as cancer research, microbiology, neuroscience, reproductive biology, and immunology. It highlights the critical role of single-cell sequencing tools in characterizing the dynamic nature of individual cells.

Jiedu Xiaozheng Yin extract targets cancer stem cells by Wnt signaling pathway in colorectal cancer

ETHNOPHARMACOLOGICAL RELEVANCE

The clinical application of the traditional Chinese medicinal formula Jiedu Xiaozheng Yin (JXY) for gastrointestinal tumors, particularly colorectal cancer (CRC), is well-established, yet the precise biological mechanism underlying its efficacy in CRC treatment remains elusive.

AIMS OF THE STUDY

This study endeavors to unravel the intricate mechanism through which JXY modulates colorectal cancer stem cells, thus elucidating the pathways by which it exerts its potent anti-tumor effects.

MATERIALS AND METHODS

In this study, the regulatory impact of JXY on the signaling pathway and function of CRC cells was analyzed through Network pharmacology. The ethyl acetate extract of JXY was detected the major compounds using HPLC and then treated the HCT-116 cells for RNA-Sequencing (RNA-Seq). Protein expression and stemness of HCT-15 and HCT-116 cells following JXY extract treatment were assessed using Western blot analysis and matrigel spheroid assays. Additionally, the β-catenin transcriptional activity was evaluated using a TOPflash reporter assay with or without Lithium chloride (LiCl) stimulation. Patient-derived organoids of CRC (CRC PDOs) were cultured using a stemness maintenance medium, and their viability was measured using ATP assays after treatment of JXY extract. Furthermore, the anti-tumor efficacy of JXY extract was assessed using a xenograft mice model derived from HCT-15 cells.

RESULTS

Network pharmacology emphasized the influence of JXY on cancer stem cells and the Wnt signaling pathway. HPLC analysis confirmed that the JXY extract contained the three most prevalent pharmaceutical compounds among the four herbs documented in the Chinese Pharmacopoeia (rosmarinic acid, quercetin, and kaempferol). RNA-Seq results further elucidated the effect of JXY extract, particularly targeting cancer stem cells and the Wnt signaling pathway. Furthermore, JXY extract inhibited spheroid formation in CRC cells and downregulated CRC CSC markers (CD133, DCLK1, and C-MYC). Additionally, JXY extract suppressed the β-catenin expression and transcriptional activity as well as the Wnt pathway target proteins, including C-MYC and Cyclin D1. Consistent with findings from cell lines, JXY extract suppressed the growth of CRC PDOs exhibiting stemness characteristics. And JXY extract demonstrated a significant inhibitory effect on tumor growth, C-MYC, and β-catenin protein levels in xenograft tumors.

CONCLUSIONS

These results highlight the novel function of JXY extract in targeting CRC CSCs by regulating Wnt signaling pathway, underscoring its potential as a therapeutic agent for treating CRC.

Single cell analyses of cancer cells identified two regulatorily and functionally distinct categories in differentially expressed genes among tumor subclones

To explore the feature of cancer cells and tumor subclones, we analyzed 101,065 single-cell transcriptomes from 12 colorectal cancer (CRC) patients and 92 single cell genomes from one of these patients. We found cancer cells, endothelial cells and stromal cells in tumor tissue expressed much more genes and had stronger cell-cell interactions than their counterparts in normal tissue. We identified copy number variations (CNVs) in each cancer cell and found correlation between gene copy number and expression level in cancer cells at single cell resolution. Analysis of tumor subclones inferred by CNVs showed accumulation of mutations in each tumor subclone along lineage trajectories. We found differentially expressed genes (DEGs) between tumor subclones had two populations: DEGCNV and DEGreg. DEGCNV, showing high CNV-expression correlation and whose expression differences depend on the differences of CNV level, enriched in housekeeping genes and cell adhesion associated genes. DEGreg, showing low CNV-expression correlation and mainly in low CNV variation regions and regions without CNVs, enriched in cytokine signaling genes. Furthermore, cell-cell communication analyses showed that DEGCNV tends to involve in cell-cell contact while DEGreg tends to involve in secreted signaling, which further support that DEGCNV and DEGreg are two regulatorily and functionally distinct categories.