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This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact

Science: general issues --- Biology, life sciences --- single-cell sequencing --- Single-Cell isolation --- single-cell fluorescence in situ hybridization --- Single-cell multi-omics --- Single-cell microfluidics --- single-cell experimental design --- single-cell bioinformatics --- cell cycling and cell size --- Single-cell mass spectrometry --- Cell heterogeneity --- single-cell sequencing --- Single-Cell isolation --- single-cell fluorescence in situ hybridization --- Single-cell multi-omics --- Single-cell microfluidics --- single-cell experimental design --- single-cell bioinformatics --- cell cycling and cell size --- Single-cell mass spectrometry --- Cell heterogeneity

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The scientific community has made significant progress in our molecular understanding of sporadic and hereditary colorectal carcinogenesis and progression. Thie pertains to, e.g., the discovery of (mutated) oncogenes and tumor suppressor genes, microsatellite instabilities, modifications in DNA repair, cellular aging, signaling cascades, genomic, epigenetic, transcriptional, translational, and protein modifications, as well as microbiotic factors and further parameters. Progression and metastasis have been more intensively studied, especially during recent years, leading to an intensified knowledge on molecular protagonists and microenvironmental interactions contributing to invasion, dissemination, and metastasis; still, more concerted efforts need to be made to better understand issues such as metastasis to different sites or the metastatic heterogeneity of single cells. Nevertheless, based on actual discoveries, personalized medicine, together with highly interdisciplinary therapeutic strategies combining advanced levels of surgical techniques, oncology, and radiation in neoadjuvant, adjuvant, or palliative settings, has started to improve the clinical prognosis of individual patients with colorectal cancer. The present Special Issue features articles of excellent international experts with the latest data in the fields mentioned. With this Special Issue, we aim to deepen discussions amongst colleagues in all kinds of disciplines working on this disease and to intensify interdisciplinary collaborations aimed at an ultimate understanding of strategies to defeat and prevent, colorectal cancer, and its progression.

Medicine --- Oncology --- Phage --- bacteriophages --- diet --- infection --- colorectal --- cancer --- nutrition --- circulating tumor cells --- colorectal cancer --- EPISPOT assay --- CellSearch® system --- predictive value --- chromatin density --- nanoscale --- tumour cell heterogeneity --- microRNAs --- metastasis --- super-resolution microscopy --- early onset --- cohort --- epidemiology --- liquid biopsy --- biomarker --- indirect carcinogenesis --- bovine meat and milk factors (BMMF) --- chronic zoonosis --- multiplex --- tumor immunology --- immune landscape --- spontaneous feline intestinal tumors --- comparative oncology --- tumor budding --- CTNNB1 --- genome-wide methylation array --- methylation --- miRNA --- colon cancer --- personalized treatment --- drug combinations --- Matrix Metalloproteinases (MMPs) --- polyp --- TIMPs --- MMP polymorphisms --- MMP targeting --- S100A4 --- DKK1 --- Wnt signaling --- patient survival --- gender --- rectal cancer --- radiochemotherapy --- radiosensitivity --- DNA double-strand breaks --- deposited energy --- quality of life --- blood values --- (molecular) carcinogenesis --- cancer progression --- (single) cancer cell heterogeneity --- models --- infectious agents --- (targeted) therapy --- personalized medicine --- Phage --- bacteriophages --- diet --- infection --- colorectal --- cancer --- nutrition --- circulating tumor cells --- colorectal cancer --- EPISPOT assay --- CellSearch® system --- predictive value --- chromatin density --- nanoscale --- tumour cell heterogeneity --- microRNAs --- metastasis --- super-resolution microscopy --- early onset --- cohort --- epidemiology --- liquid biopsy --- biomarker --- indirect carcinogenesis --- bovine meat and milk factors (BMMF) --- chronic zoonosis --- multiplex --- tumor immunology --- immune landscape --- spontaneous feline intestinal tumors --- comparative oncology --- tumor budding --- CTNNB1 --- genome-wide methylation array --- methylation --- miRNA --- colon cancer --- personalized treatment --- drug combinations --- Matrix Metalloproteinases (MMPs) --- polyp --- TIMPs --- MMP polymorphisms --- MMP targeting --- S100A4 --- DKK1 --- Wnt signaling --- patient survival --- gender --- rectal cancer --- radiochemotherapy --- radiosensitivity --- DNA double-strand breaks --- deposited energy --- quality of life --- blood values --- (molecular) carcinogenesis --- cancer progression --- (single) cancer cell heterogeneity --- models --- infectious agents --- (targeted) therapy --- personalized medicine

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Cells are the most fundamental building block of all living organisms. The investigation of any type of disease mechanism and its progression still remains challenging due to cellular heterogeneity characteristics and physiological state of cells in a given population. The bulk measurement of millions of cells together can provide some general information on cells, but it cannot evolve the cellular heterogeneity and molecular dynamics in a certain cell population. Compared to this bulk or the average measurement of a large number of cells together, single-cell analysis can provide detailed information on each cell, which could assist in developing an understanding of the specific biological context of cells, such as tumor progression or issues around stem cells. Single-cell omics can provide valuable information about functional mutation and a copy number of variations of cells. Information from single-cell investigations can help to produce a better understanding of intracellular interactions and environmental responses of cellular organelles, which can be beneficial for therapeutics development and diagnostics purposes. This Special Issue is inviting articles related to single-cell analysis and its advantages, limitations, and future prospects regarding health benefits.

Research & information: general --- Biology, life sciences --- single-cell RNA sequencing --- cholestatic liver injury --- hepatocyte heterogeneity --- inflammation --- liver tissue repair --- single cell mass cytometry --- single cell proteomics --- non-small cell lung cancer --- three-dimensional tissue culture --- snRNA-seq --- RNA velocity --- cluster analysis --- cardiomyocytes --- seurat --- cell heterogeneity --- sarcoma --- single-cell analysis --- total mRNA level --- transcriptome size --- proteomics --- immunofluorescence --- immunohistochemistry --- protein --- genome --- biomedical applications --- commercialization --- protein characterization --- conventional approaches --- microfluidic technologies --- single cell --- infectious disease --- pathophysiology --- therapeutics --- diagnostics --- microfluidics --- single-cell cloning --- monoclonal cell lines --- single-neuron models --- mapping --- electrophysiological recording --- isolation --- therapy --- micro/nanofluidic devices --- microelectrode array --- transfection --- artificial intelligence --- localized high-risk prostate cancer --- circulating tumor cells --- three-dimensional (3-D) telomere profiling --- laser microdissection --- whole-exome genome sequencing --- somatic single nucleotide variants --- copy number alterations --- precision medicine --- single-cell RNA sequencing --- cholestatic liver injury --- hepatocyte heterogeneity --- inflammation --- liver tissue repair --- single cell mass cytometry --- single cell proteomics --- non-small cell lung cancer --- three-dimensional tissue culture --- snRNA-seq --- RNA velocity --- cluster analysis --- cardiomyocytes --- seurat --- cell heterogeneity --- sarcoma --- single-cell analysis --- total mRNA level --- transcriptome size --- proteomics --- immunofluorescence --- immunohistochemistry --- protein --- genome --- biomedical applications --- commercialization --- protein characterization --- conventional approaches --- microfluidic technologies --- single cell --- infectious disease --- pathophysiology --- therapeutics --- diagnostics --- microfluidics --- single-cell cloning --- monoclonal cell lines --- single-neuron models --- mapping --- electrophysiological recording --- isolation --- therapy --- micro/nanofluidic devices --- microelectrode array --- transfection --- artificial intelligence --- localized high-risk prostate cancer --- circulating tumor cells --- three-dimensional (3-D) telomere profiling --- laser microdissection --- whole-exome genome sequencing --- somatic single nucleotide variants --- copy number alterations --- precision medicine

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Cells are the most fundamental building block of all living organisms. The investigation of any type of disease mechanism and its progression still remains challenging due to cellular heterogeneity characteristics and physiological state of cells in a given population. The bulk measurement of millions of cells together can provide some general information on cells, but it cannot evolve the cellular heterogeneity and molecular dynamics in a certain cell population. Compared to this bulk or the average measurement of a large number of cells together, single-cell analysis can provide detailed information on each cell, which could assist in developing an understanding of the specific biological context of cells, such as tumor progression or issues around stem cells. Single-cell omics can provide valuable information about functional mutation and a copy number of variations of cells. Information from single-cell investigations can help to produce a better understanding of intracellular interactions and environmental responses of cellular organelles, which can be beneficial for therapeutics development and diagnostics purposes. This Special Issue is inviting articles related to single-cell analysis and its advantages, limitations, and future prospects regarding health benefits.

single-cell RNA sequencing --- cholestatic liver injury --- hepatocyte heterogeneity --- inflammation --- liver tissue repair --- single cell mass cytometry --- single cell proteomics --- non-small cell lung cancer --- three-dimensional tissue culture --- snRNA-seq --- RNA velocity --- cluster analysis --- cardiomyocytes --- seurat --- cell heterogeneity --- sarcoma --- single-cell analysis --- total mRNA level --- transcriptome size --- proteomics --- immunofluorescence --- immunohistochemistry --- protein --- genome --- biomedical applications --- commercialization --- protein characterization --- conventional approaches --- microfluidic technologies --- single cell --- infectious disease --- pathophysiology --- therapeutics --- diagnostics --- microfluidics --- single-cell cloning --- monoclonal cell lines --- single-neuron models --- mapping --- electrophysiological recording --- isolation --- therapy --- micro/nanofluidic devices --- microelectrode array --- transfection --- artificial intelligence --- localized high-risk prostate cancer --- circulating tumor cells --- three-dimensional (3-D) telomere profiling --- laser microdissection --- whole-exome genome sequencing --- somatic single nucleotide variants --- copy number alterations --- precision medicine --- n/a