- Cancer Mechanisms and Therapy
- Phagocytosis and Immune Regulation
- FOXO transcription factor regulation
- Mechanisms of cancer metastasis
- Cancer Immunotherapy and Biomarkers
- Immune responses and vaccinations
- Genetic and phenotypic traits in livestock
- Bacteriophages and microbial interactions
- Gut microbiota and health
- Effects of Environmental Stressors on Livestock
- Pancreatic and Hepatic Oncology Research
- Bacterial Genetics and Biotechnology
- Bacterial biofilms and quorum sensing
- Probiotics and Fermented Foods
- Genetics and Neurodevelopmental Disorders
- Microbial infections and disease research
- Pancreatitis Pathology and Treatment
- Epilepsy research and treatment
- Vascular Tumors and Angiosarcomas
- GABA and Rice Research
- Cholangiocarcinoma and Gallbladder Cancer Studies
- melanin and skin pigmentation
- Clostridium difficile and Clostridium perfringens research
- Ruminant Nutrition and Digestive Physiology
- Immune cells in cancer
China Agricultural University
2024-2025
Southern University of Science and Technology
2024
The First Affiliated Hospital, Sun Yat-sen University
2024
Sun Yat-sen University
2024
Peking University First Hospital
2022-2023
Peking University
2022-2023
Northeast Agricultural University
2021-2022
Hunan University of Science and Technology
2016
Liver metastasis is the leading cause of mortality in patients with colorectal cancer. Given significance both epithelial-mesenchymal transition (EMT) tumor cells and immune microenvironment cancer liver (CRLM), interplay between them could hold key for developing improved treatment options. We employed multiomics analysis 130 samples from 18 synchronous CRLM integrated external datasets to comprehensively evaluate interaction EMT metastasis. Single-cell RNA sequencing revealed distinct...
The dominant bacteria in the hindgut of calves play an important role their growth and health, which could even lead to lifelong consequences. However, identification core probiotics its mechanism regulating host remain unclear. Here, a total 1045 fecal samples were analyzed by 16S rRNA gene sequencing from 408 Holstein dairy at age 0, 14, 28, 42, 56, 70 days characterize dynamic changes taxa. Moreover, mechanisms nutrient metabolism calf regulated investigated using multi-omics analyses....
The growth and health of young ruminants are regulated by their gut microbiome, which can have lifelong consequences. Compared with subjective grouping, phenotypic clustering might be a more comprehensive approach to revealing the relationship between calf state core microbes. However, identification beneficial bacteria its internal mechanisms shaping host phenotype differentiation remains unclear. In this study, calves were divided into two clusters, cluster1 cluster2, based on 29...
This study aimed to investigate the effects of daily weight gain and feed intake calves on first-lactation milk yield composition using a metaanalysis. A total 57 treatments from 18 studies were included in study. Univariate multivariate mixed models constructed for calf ADG, liquid DMI (LDMI), starter (SDMI), 305-d milk, fat, protein yields data insight into preweaning performance. revealed ADG was significantly positively correlated with during period. indicates that is significant...
Pseudomonas aeruginosa is a widespread nosocomial pathogen with significant to cause both severe planktonic acute and biofilm-related chronic infections. Small RNAs (sRNAs) are noncoding regulatory molecules that stabilized by the RNA chaperone Hfq trigger various virulence-related signaling pathways. Here, we identified an Hfq-binding sRNA in P. PAO1, PqsS, which promotes bacterial pathogenicity pseudomonas quinolone signal quorum sensing (pqs QS) system. Specifically, PqsS enhanced...
The maternal gut microbiome is the direct and important source of early colonization development neonatal microbiome. However, differences in unique shared features between mothers with different physiological phenotypes their newborns still lack exhaustive investigation. Here, using a cow-to-calf model, comprehensive investigation was conducted to elucidate pattern characterization microbial transfer from offspring. microbiota rumen feces dairy cows were divided into two clusters via...
Abstract Pseudomonas aeruginosa is a widespread nosocomial pathogen with significant capacity to cause both severe acute infections and biofilm-related chronic infections. Small RNAs (sRNAs) are noncoding regulatory molecules that stabilized by the RNA chaperone Hfq, triggering various signaling pathways. Here, we identified an Hfq-binding sRNA in P. PAO1, named PqsS, which promoted bacterial pathogenicity pseudomonas quinolone signal quorum sensing (pqs QS) system. Specifically, PqsS...
The management of body condition score (BCS) during the dry period is associated with postpartum health outcomes dairy cows. However, difference between actual BCS and fixed ideal value not able to accurately predict occurrence diseases. This study aimed use statistical process control (SPC) technology monitor cows, evaluate effect charts on nutritional strategies, explore utility SPC in predicting incidence subclinical ketosis (SCK). SCK data 286 cows from off 60 days were collected set up...
<p>Table S1. Clinical and pathological characteristics of CRLM patients</p>
<p>Table S2. CD45+ and CD45- cell numbers of each sample from CRLM patients</p>
<p>Figure S6. Pseudotime analysis of tumor cells by Palantir and CellRank.</p>
<p>Table S1. Clinical and pathological characteristics of CRLM patients</p>
<p>Figure S8. Fn14 expression is positively correlated with the metastatic ability of colon cancer cells.</p>
<p>Figure S9. Macrophage subclusters are important in the metastasis of CRLM.</p>
<div>Abstract<p>Liver metastasis is the leading cause of mortality in patients with colorectal cancer. Given significance both epithelial–mesenchymal transition (EMT) tumor cells and immune microenvironment cancer liver (CRLM), interplay between them could hold key for developing improved treatment options. We employed multiomics analysis 130 samples from 18 synchronous CRLM integrated external datasets to comprehensively evaluate interaction EMT metastasis. Single-cell RNA...
<p>Figure S5. Dynamic change of tumor cells from primary to metastatic lesions.</p>
<p>Figure S1. Cell annotations of mCRC scRNA-seq dataset.</p>
<p>Figure S4. Extraction and validation of tumor cell analysis in mCRC cohort.</p>