Chromatin Remodeling of Colorectal Cancer Liver Metastasis is Mediated by an HGF-PU.1-DPP4 Axis

Colorectal cancer (CRC) metastasizes mainly to the liver, which accounts for the majority of CRC-related deaths. Here it is shown that metastatic cells undergo specific chromatin remodeling in the liver. Hepatic growth factor (HGF) induces phosphorylation of PU.1, a pioneer factor, which in turn binds and opens chromatin regions of downstream effector genes. PU.1 increases histone acetylation at the DPP4 locus. Precise epigenetic silencing by CRISPR/dCas9KRAB or CRISPR/dCas9HDAC revealed that individual PU.1-remodeled regulatory elements collectively modulate DPP4 expression and liver metastasis growth. Genetic silencing or pharmacological inhibition of each factor along this chromatin remodeling axis strongly suppressed liver metastasis. Therefore, microenvironment-induced epimutation is an important mechanism for metastatic tumor cells to grow in their new niche. This study presents a potential strategy to target chromatin remodeling in metastatic cancer and the promise of repurposing drugs to treat metastasis.

miR-34a is a microRNA safeguard for Citrobacter-induced inflammatory colon oncogenesis

Inflammation often induces regeneration to repair the tissue damage. However, chronic inflammation can transform temporary hyperplasia into a fertile ground for tumorigenesis. Here, we demonstrate that the microRNA miR-34a acts as a central safeguard to protect the inflammatory stem cell niche and reparative regeneration. Although playing little role in regular homeostasis, miR-34a deficiency leads to colon tumorigenesis after Citrobacter rodentium infection. miR-34a targets both immune and epithelial cells to restrain inflammation-induced stem cell proliferation. miR-34a targets Interleukin six receptor (IL-6R) and Interleukin 23 receptor (IL-23R) to suppress T helper 17 (Th17) cell differentiation and expansion, targets chemokine CCL22 to hinder Th17 cell recruitment to the colon epithelium, and targets an orphan receptor Interleukin 17 receptor D (IL-17RD) to inhibit IL-17-induced stem cell proliferation. Our study highlights the importance of microRNAs in protecting the stem cell niche during inflammation despite their lack of function in regular tissue homeostasis.

Aldolase B-Mediated Fructose Metabolism Drives Metabolic Reprogramming of Colon Cancer Liver Metastasis

Cancer metastasis accounts for the majority of cancer-related deaths and remains a clinical challenge. Metastatic cancer cells generally resemble cells of the primary cancer, but they may be influenced by the milieu of the organs they colonize. Here, we show that colorectal cancer cells undergo metabolic reprogramming after they metastasize and colonize the liver, a key metabolic organ. In particular, via GATA6, metastatic cells in the liver upregulate the enzyme aldolase B (ALDOB), which enhances fructose metabolism and provides fuel for major pathways of central carbon metabolism during tumor cell proliferation. Targeting ALDOB or reducing dietary fructose significantly reduces liver metastatic growth but has little effect on the primary tumor. Our findings suggest that metastatic cells can take advantage of reprogrammed metabolism in their new microenvironment, especially in a metabolically active organ such as the liver. Manipulation of involved pathways may affect the course of metastatic growth.

Sensitivity and selectivity in protein similarity searches: a comparison of Smith-Waterman in hardware to BLAST and FASTA

To predict the functions of a possible protein product of any new or uncharacterized DNA sequence, it is important first to detect all significant similarities between the encoded amino acid sequence and any accumulated protein sequence data. We have implemented a set of queries and database sequences and proceeded to test and compare various similarity search methods and their parameterizations. We demonstrate here that the Smith-Waterman (S-W) dynamic programming method and the optimized version of FASTA are significantly better able to distinguish true similarities from statistical noise than is the popular database search tool BLAST. Also, a simple "log-length normalization" of S-W scores based on the query and target sequence lengths greatly increased the selectivity of the S-W searches, exceeding the default normalization method of FASTA. An implementation of the modified S-W algorithm in hardware (the Fast Data Finder) is able to match the accuracy of software versions while greatly speeding up its execution. We present here the selectivity and sensitivity data from these tests as well as results for various scoring matrices. We present data that will help users to choose threshold score values for evaluation of database search results. We also illustrate the impact of using simple-sequence masking tools such as SEG or XNU.

Migration to the United States and Mexican rural development: a case study

An analysis of the impact of migration to the United States on the sending community and on the labor market in the receiving country is presented based on a case study of Las Animas, Mexico. "As the community becomes increasingly involved in migration, tendencies can be identified regarding changing migration patterns, class differentiation among villagers, impact of migration on village economy, and the changing role of Mexican workers in California labor markets. Results indicate the importance of social networks in determining the outcome of migration; while migration is individually rational, it is a factor of stagnation for village economy, and it helps reproduce segmented California labor markets."