Conditional Reprogramming (CR) Medium

Conditional reprogramming medium for epithelial cell expansion

Conditional Reprogramming (CR) Medium

Conditional reprogramming medium for epithelial cell expansion

Conditional Reprogramming (CR) Medium
250 mL
192 USD
Catalog # 100-0352

Conditional reprogramming medium for epithelial cell expansion

Overview

Conditional Reprogramming (CR) Medium is optimized to use with 3T3-J2 Irradiated Feeder Cells (Catalog #100-0353) to expand epithelial cells without genetic modification. Mature epithelial cells have been shown to restore tissue-specific progenitor phenotype that enables proliferation in the presence of CR Medium (Liu X et al. 2012; Liu X et al. 2017). This conditional proliferative capability is deactivated once the medium is removed from the cells (Liu X et al. 2012; Liu X et al. 2017). CR Medium is suitable to propagate primary epithelial cells from healthy or tumor tissues (airway, retina, prostate, breast, intestine, pancreas, liver biliary duct, etc.; Liu X et al. 2012; Liu X et al. 2017; Suprynowicz FA et al.). This product is free of antibiotics and intended for Research Use Only. CR Medium must be supplemented with cholera toxin prior to use.
Cell Type
Epithelial Cells, Mammary Cells, Prostate Cells
Species
Human
Application
Cell Culture, Differentiation, Expansion
Area of Interest
Epithelial Cell Biology, Stem Cell Biology

Scientific Resources

Product Documentation

Find supporting information and directions for use in the Product Information Sheet or explore additional protocols below.

Document Type
Product Name
Catalog #
Lot #
Language
Catalog #
100-0352
Lot #
All
Language
English
Document Type
Safety Data Sheet
Catalog #
100-0352
Lot #
All
Language
English

Data and Publications

Publications (8)

A system for detecting high impact-low frequency mutations in primary tumors and metastases M. Anjanappa et al. Oncogene 2018

Abstract

Tumor complexity and intratumor heterogeneity contribute to subclonal diversity. Despite advances in next-generation sequencing (NGS) and bioinformatics, detecting rare mutations in primary tumors and metastases contributing to subclonal diversity is a challenge for precision genomics. Here, in order to identify rare mutations, we adapted a recently described epithelial reprograming assay for short-term propagation of epithelial cells from primary and metastatic tumors. Using this approach, we expanded minor clones and obtained epithelial cell-specific DNA/RNA for quantitative NGS analysis. Comparative Ampliseq Comprehensive Cancer Panel sequence analyses were performed on DNA from unprocessed breast tumor and tumor cells propagated from the same tumor. We identified previously uncharacterized mutations present only in the cultured tumor cells, a subset of which has been reported in brain metastatic but not primary breast tumors. In addition, whole-genome sequencing identified mutations enriched in liver metastases of various cancers, including Notch pathway mutations/chromosomal inversions in 5/5 liver metastases, irrespective of cancer types. Mutations/rearrangements in FHIT, involved in purine metabolism, were detected in 4/5 liver metastases, and the same four liver metastases shared mutations in 32 genes, including mutations of different HLA-DR family members affecting OX40 signaling pathway, which could impact the immune response to metastatic cells. Pathway analyses of all mutated genes in liver metastases showed aberrant tumor necrosis factor and transforming growth factor signaling in metastatic cells. Epigenetic regulators including KMT2C/MLL3 and ARID1B, which are mutated in {\textgreater}50{\%} of hepatocellular carcinomas, were also mutated in liver metastases. Thus, irrespective of cancer types, organ-specific metastases may share common genomic aberrations. Since recent studies show independent evolution of primary tumors and metastases and in most cases mutation burden is higher in metastases than primary tumors, the method described here may allow early detection of subclonal somatic alterations associated with metastatic progression and potentially identify therapeutically actionable, metastasis-specific genomic aberrations.
Patient-derived conditionally reprogrammed cells maintain intra-tumor genetic heterogeneity B. R. Correa et al. Scientific Reports 2018

Abstract

Preclinical in vitro models provide an essential tool to study cancer cell biology as well as aid in translational research, including drug target identification and drug discovery efforts. For any model to be clinically relevant, it needs to recapitulate the biology and cell heterogeneity of the primary tumor. We recently developed and described a conditional reprogramming (CR) cell technology that addresses many of these needs and avoids the deficiencies of most current cancer cell lines, which are usually clonal in origin. Here, we used the CR cell method to generate a collection of patient-derived cell cultures from non-small cell lung cancers (NSCLC). Whole exome sequencing and copy number variations are used for the first time to address the capability of CR cells to keep their tumor-derived heterogeneity. Our results indicated that these primary cultures largely maintained the molecular characteristics of the original tumors. Using a mutant-allele tumor heterogeneity (MATH) score, we showed that CR cells are able to keep and maintain most of the intra-tumoral heterogeneity, suggesting oligoclonality of these cultures. CR cultures therefore represent a pre-clinical lung cancer model for future basic and translational studies.
Patient-derived organoids model treatment response of metastatic gastrointestinal cancers G. Vlachogiannis et al. Science 2018

Abstract

Patient-derived organoids (PDOs) have recently emerged as robust preclinical models; however, their potential to predict clinical outcomes in patients has remained unclear. We report on a living biobank of PDOs from metastatic, heavily pretreated colorectal and gastroesophageal cancer patients recruited in phase 1/2 clinical trials. Phenotypic and genotypic profiling of PDOs showed a high degree of similarity to the original patient tumors. Molecular profiling of tumor organoids was matched to drug-screening results, suggesting that PDOs could complement existing approaches in defining cancer vulnerabilities and improving treatment responses.We compared responses to anticancer agents ex vivo in organoids and PDO-based orthotopic mouse tumor xenograft models with the responses of the patients in clinical trials. Our data suggest that PDOs can recapitulate patient responses in the clinic and could be implemented in personalized medicine programs.

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