A5008764484- Gut microbiota and health
- Acute Myeloid Leukemia Research
- Diet and metabolism studies
- Cancer Genomics and Diagnostics
- Microbial Natural Products and Biosynthesis
- Microbial Metabolites in Food Biotechnology
- Probiotics and Fermented Foods
- Metabolomics and Mass Spectrometry Studies
- Genomics and Phylogenetic Studies
- Epigenetics and DNA Methylation
- Bioinformatics and Genomic Networks
- Nutritional Studies and Diet
- Microbial Metabolic Engineering and Bioproduction
- Food Security and Health in Diverse Populations
- Gene expression and cancer classification
- Astro and Planetary Science
- Genetics, Bioinformatics, and Biomedical Research
- interferon and immune responses
- Protein Degradation and Inhibitors
- Immune cells in cancer
- Stellar, planetary, and galactic studies
- Gamma-ray bursts and supernovae
- Gastrointestinal motility and disorders
- Cytokine Signaling Pathways and Interactions
University of Minnesota
2018-2025
China Medical University
2024
University of Minnesota System
2023
Twin Cities Orthopedics
2022-2023
The Japanese Society of Gastroenterological Surgery
2020
Showa University
2020
Jikei University School of Medicine
2020
Iwate Medical University
2020
University of Hawaii System
2013
We describe the Pan-STARRS Moving Object Processing System (MOPS), a modern software package that produces automatic asteroid discoveries and identifications from catalogs of transient detections next-generation astronomical survey telescopes. MOPS achieves > 99.5% efficiency in producing orbits synthetic but realistic population asteroids whose measurements were simulated for Pan-STARRS4-class telescope. Additionally, using non-physical grid population, we demonstrate can detect populations...
Standard chemotherapy for acute myeloid leukemia (AML) targets proliferative cells and efficiently induces complete remission; however, many patients relapse die of their disease. Relapse is caused by stem (LSC), the with self-renewal capacity. Self-renewal proliferation are separate functions in normal hematopoietic (HSC) steady-state conditions. If these also LSCs, then antiproliferative therapies may fail to target self-renewal, allowing relapse. We investigated whether LSCs as they often...
Recent advancements in translational gut microbiome research have revealed its crucial role shaping predictive healthcare applications. Herein, we introduce the Gut Microbiome Wellness Index 2 (GMWI2), an enhanced version of our original GMWI prototype, designed as a standardized disease-agnostic health status indicator based on taxonomic profiles. Our analysis involves pooling existing 8069 stool shotgun metagenomes from 54 published studies across global demographic landscape (spanning 26...
Abstract We previously proposed the Gut Microbiome Wellness Index (GMWI), a predictor of disease presence based on gut microbiome taxonomic profile. As an application this index for food science research, we applied GMWI as quantitative tool measuring prebiotic effect oligosaccharides. Mainly, in vitro anaerobic batch fermentation system, fructooligosaccharides (FOS), galactooligosaccharides (GOS), xylooligosaccharides (XOS), inulin (IN), and 2’-fucosyllactose (2FL), were mixed separately...
Abstract Acute myeloid leukemia (AML) is an aggressive blood cancer. TP53 mutations (TP53Mut) confer the worst prognosis in AML. Leukemia stem cells (LSCs) are rare AML endowed with self-renewal capacity, allowing them to recapitulate after therapy and cause disease progression. The pathways that mediate human TP53Mut not well-known. To define signaling activated LSCs, we used CyTOF profile primary samples. LSCs displayed significantly elevated levels of (phosphorylated) NF kappa B...
Abstract In acute myeloid leukemia (AML), TP53 mutations ( TP53Mut ) confer the worst prognosis. Leukemia stem cells (LSCs) are rare AML endowed with self-renewal capacity, allowing them to recapitulate after therapy and cause disease progression. human AML, signaling pathways associated inflammation have been implicated in pathogenesis of but that mediate not well-known. To define activated LSCs, we used CyTOF, a form flow cytometry can measure up 40 proteins simultaneously at single-cell...
Biosynthetic gene clusters (BGCs) in microbial genomes encode bioactive secondary metabolites (SMs), which can play important roles microbe-microbe and host-microbe interactions. Given the biological significance of SMs current profound interest metabolic functions microbiomes, unbiased identification BGCs from high-throughput metagenomic data could offer novel insights into complex chemical ecology communities. Currently available tools for predicting shotgun metagenomes have several...
Abstract Summary We recently introduced the Gut Microbiome Wellness Index (GMWI), a stool metagenome-based indicator for assessing health by determining likelihood of disease given state one’s gut microbiome. The calculation our wellness index depends on relative abundances health-prevalent and health-scarce species. Encouragingly, GMWI has already been utilized in various studies focusing differences microbiome between cases controls. Herein, we introduce GMWI-webtool, user-friendly browser...
OBJECTIVES/GOALS: Aim 1: Define the genetic events that cooperate with Trp53 mutations to mediate transformation of MDS sAML at stem cell level. 2: Use Bayesian networks model signaling pathway activation states identify aberrant regulators self-renewal in LSCs. METHODS/STUDY POPULATION: To MDS, I will utilize a mouse and sAML. The mutated mimics genetics human develops MDS. discover how additional contribute disease progression, use Sleeping Beauty transposon system which induces random...
Abstract Recent advancements in human gut microbiome research have revealed its crucial role shaping innovative predictive healthcare applications. We introduce Gut Microbiome Wellness Index 2 (GMWI2), an advanced iteration of our original GMWI prototype, designed as a robust, disease-agnostic health status indicator based on taxonomic profiles. Our analysis involved pooling existing 8069 stool shotgun metagenome data across global demographic landscape to effectively capture biological...
Abstract Accurately predicting genetic or other cellular vulnerabilities of unscreened, difficult to screen, cancer samples will allow vast advancements in precision oncology. We re-analyzed a recently published deep learning method for dependencies from their omics profiles. After implementing ridge regression baseline model with an alternative, simplified problem setup, we achieved that outperforms the original method. Our study demonstrates importance formulation machine applications and...
Abstract Summary We recently introduced the Gut Microbiome Health Index (GMHI), a stool-based indicator for monitoring health given state of one’s gut microbiome. GMHI depends on health-prevalent and health-scarce species determined validated using pooled dataset 5,026 stool shotgun metagenomic samples from 43 independent studies. Encouragingly, has already been utilized in various studies focusing identifying differences microbiome between cases controls. However, current computational...
Abstract Measuring prebiotic activities of foods on human microbiome and providing dietary guidelines one’s health status are an emerging research topic. However, it is difficult to directly compare different using the index (PI) proposed in 2003 determine their activities. This ambiguity can be resolved with gut (GMHI), newly built 2020, a consortium 50 microbial species associated health. As translational application this index, we used formula predict PI five commercial prebiotics,...
ABSTRACT Biosynthetic gene clusters (BGCs) in microbial genomes encode for bioactive secondary metabolites (SMs), which can play important roles microbe-microbe and host-microbe interactions. Given the biological significance of SMs current profound interest metabolic functions microbiomes, unbiased identification BGCs from high-throughput metagenomic data could offer novel insights into complex chemical ecology communities. Currently available tools predicting shotgun metagenomes have...