Project description:Abstract: The intestinal epithelium is replaced weekly by non-quiescent stem cells with kinetics that rely on a rapid loss of stemness and choice for secretory or absorptive lineage differentiation. To determine how the cellular transcriptome and proteome changes during these transitions, we developed a new cell sorting method to purify stem cells, secretory and absorptive progenitor cells, and mature, differentiated cells. Transcriptome analyses revealed that as stem cells transition to the progenitor stage, alternative mRNA splicing and polyadenylation dominate changes in the transcriptome. In contrast, as progenitors differentiate into mature cell types, alterations in gene expression and mRNA levels drive the changes. RNA processing targets mRNAs encoding regulators of cell cycle, RNA regulators, cell adhesion, SUMOylation, and Wnt and Notch signaling. Additionally, carrier-assisted mass spectrometry of sorted cell populations detected >2,800 proteins and revealed RNA:protein patterns of abundance and correlation. Paired together, these data highlight new potentials for autocrine and feedback regulation and provide new insights into cell state transitions in the crypt. Sorting Protocol: To create a high-resolution profile of colon crypt stem cells and their daughter cells we developed a new flow sorting protocol using freshly dissected, wild-type C57Bl/6N mouse colons and antibodies to validated intestinal cell surface markers including Cd44. Upon discovery that Cd44 is highly sensitive to TrypLE, and other commonly used proteases, we developed a dissociation protocol that uses only EDTA and mechanical force. This change enabled a 10-fold greater range of Cd44 antigen surface expression and therefore higher resolution for cell sorting. Using additional commonly used cell surface markers, six cryptal populations were purified. A previously validated intestinal stem cell signature of Cd44 high, Cd24 low, and cKit negative was used to identify and isolate an abundant fraction of stem cells, a cell population that directly overlapped with Lgr5-EGFP+ cells from Lgr5-EGFP-IRES-creERT2 mice, confirming their stem cell identity. In addition to the stem cell population, five additional Epcam positive populations were collected, and the biological replicate samples of the six populations were processed for bulk RNA-seq. The clearly identified populations are stem cells, two distinct populations of progenitor cells (absorptive and secretory), and three mature, differentiated populations (enterocytes, Tuft cells and Enteroendocrine (EEC) cells). Thus, the new protocol for crypt isolation and the greater range of Cd44 surface expression it preserves, enables a significant improvement in the resolution and sorting of stem cells away from their daughter cells and differentiated progeny. Specifically, it is now possible to distinguish stem cells from Absorptive Progenitor cells (AbsPro; Cd44Med) and from mature Enterocytes (Ent; Cd44Low/-) because of the higher resolution of Cd44 surface expression. Secretory progenitors are identified as SecPDG as this population contains a majority of Secretory Progenitors and Deep Crypt Secretory cells, with a possible minor contribution of Goblet cells, a cell type that is largely missing in this procedure. Finally, preserved Cd44 expression (and cKit expression) enabled resolution of two rare Epcam+/Cd24high populations identified as Tuft cells and Enteroendocrine cells (EEC), mature cell types from the secretory lineage (EEC are predominantly Enterochromaffin; Tuft, comprise both Tuft-1 and Tuft-2 subtypes).

Project description:Smallbone2013 - Colon Crypt cycle - Version 0 This model is described in the article: A mathematical model of the colon crypt capturing compositional dynamic interactions between cell types Kieran Smallbone, Bernard M. Corfe Int J Exp Pathol. 2014 Feb;95(1):1-7. Abstract: Models of the development and early progression of colorectal cancer are based upon understanding the cycle of stem cell turnover, proliferation, differentiation and death. Existing crypt compartmental models feature a linear pathway of cell types, with little regulatory mechanism. Previous work has shown that there are perturbations in the enteroendocrine cell population of macroscopically normal crypts, a compartment not included in existing models. We show that existing models do not adequately recapitulate the dynamics of cell fate pathways in the crypt. We report the progressive development, iterative testing and fitting of a developed compartmental model with additional cell types, and which includes feedback mechanisms and cross-regulatory mechanisms between cell types. The fitting of the model to existing data sets suggests a need to invoke cross-talk between cell types as a feature of colon crypt cycle models. This model is hosted on BioModels Database and identified by: MODEL1306190000 . To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models . To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.

Project description:Smallbone2013 - Colon Crypt cycle - Version 1 This model is described in the article: A mathematical model of the colon crypt capturing compositional dynamic interactions between cell types Kieran Smallbone, Bernard M. Corfe Int J Exp Pathol. 2014 Feb;95(1):1-7. Abstract: Models of the development and early progression of colorectal cancer are based upon understanding the cycle of stem cell turnover, proliferation, differentiation and death. Existing crypt compartmental models feature a linear pathway of cell types, with little regulatory mechanism. Previous work has shown that there are perturbations in the enteroendocrine cell population of macroscopically normal crypts, a compartment not included in existing models. We show that existing models do not adequately recapitulate the dynamics of cell fate pathways in the crypt. We report the progressive development, iterative testing and fitting of a developed compartmental model with additional cell types, and which includes feedback mechanisms and cross-regulatory mechanisms between cell types. The fitting of the model to existing data sets suggests a need to invoke cross-talk between cell types as a feature of colon crypt cycle models. This model is hosted on BioModels Database and identified by: MODEL1306190001 . To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models . To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.

Project description:Smallbone2013 - Colon Crypt cycle - Version 2 This model is described in the article: A mathematical model of the colon crypt capturing compositional dynamic interactions between cell types Kieran Smallbone, Bernard M. Corfe Int J Exp Pathol. 2014 Feb;95(1):1-7. Abstract: Models of the development and early progression of colorectal cancer are based upon understanding the cycle of stem cell turnover, proliferation, differentiation and death. Existing crypt compartmental models feature a linear pathway of cell types, with little regulatory mechanism. Previous work has shown that there are perturbations in the enteroendocrine cell population of macroscopically normal crypts, a compartment not included in existing models. We show that existing models do not adequately recapitulate the dynamics of cell fate pathways in the crypt. We report the progressive development, iterative testing and fitting of a developed compartmental model with additional cell types, and which includes feedback mechanisms and cross-regulatory mechanisms between cell types. The fitting of the model to existing data sets suggests a need to invoke cross-talk between cell types as a feature of colon crypt cycle models. This model is hosted on BioModels Database and identified by: MODEL1306190002 . To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models . To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.

Project description:Smallbone2013 - Colon Crypt cycle - Version 3 This model is described in the article: A mathematical model of the colon crypt capturing compositional dynamic interactions between cell types Kieran Smallbone, Bernard M. Corfe Int J Exp Pathol. 2014 Feb;95(1):1-7. Abstract: Models of the development and early progression of colorectal cancer are based upon understanding the cycle of stem cell turnover, proliferation, differentiation and death. Existing crypt compartmental models feature a linear pathway of cell types, with little regulatory mechanism. Previous work has shown that there are perturbations in the enteroendocrine cell population of macroscopically normal crypts, a compartment not included in existing models. We show that existing models do not adequately recapitulate the dynamics of cell fate pathways in the crypt. We report the progressive development, iterative testing and fitting of a developed compartmental model with additional cell types, and which includes feedback mechanisms and cross-regulatory mechanisms between cell types. The fitting of the model to existing data sets suggests a need to invoke cross-talk between cell types as a feature of colon crypt cycle models. This model is hosted on BioModels Database and identified by: MODEL1306190003 . To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models . To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.

			Action	DRS
	SRR10913313_1.fastq.gz	Fastqsanger.gz
	SRR10913313_2.fastq.gz	Fastqsanger.gz
	SRR10913314_1.fastq.gz	Fastqsanger.gz
	SRR10913314_2.fastq.gz	Fastqsanger.gz
	SRR10913315_1.fastq.gz	Fastqsanger.gz

Dataset Information

Transcriptomic and Proteomic Signatures of Stemness and Differentiation in the Colon Crypt

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets