A5033494854- Genomics and Chromatin Dynamics
- Single-cell and spatial transcriptomics
- Cancer Genomics and Diagnostics
- Genetic Mapping and Diversity in Plants and Animals
- Neuropeptides and Animal Physiology
- Mycobacterium research and diagnosis
- RNA and protein synthesis mechanisms
- Genomics and Phylogenetic Studies
- CRISPR and Genetic Engineering
- Genomic variations and chromosomal abnormalities
- Tuberculosis Research and Epidemiology
- SARS-CoV-2 and COVID-19 Research
- Epigenetics and DNA Methylation
- Advanced Image Fusion Techniques
- Advanced biosensing and bioanalysis techniques
- interferon and immune responses
- Neuroinflammation and Neurodegeneration Mechanisms
- Cardiovascular and Diving-Related Complications
- Machine Learning in Bioinformatics
- Protein Degradation and Inhibitors
- Fibroblast Growth Factor Research
- Chromosomal and Genetic Variations
- COVID-19 Impact on Reproduction
- Rice Cultivation and Yield Improvement
- Biosensors and Analytical Detection
Huazhong Agricultural University
2017-2024
Guangdong Medical College
2024
Xi’an University of Posts and Telecommunications
2022
Shanghai Zhangjiang Laboratory
2021
Abstract Immunocytes dynamically reprogram their gene expression profiles during differentiation and immunoresponse. However, the underlying mechanism remains elusive. Here, we develop a single-cell Hi-C method systematically delineate 3D genome dynamic epigenetic atlas of macrophages these processes. We propose “degree disorder” to measure organizational patterns inside topologically-associated domains, which is correlated with chromatin states, expression, structure variability in...
Genomic prediction (GP) aims to construct a statistical model for predicting phenotypes using genome-wide markers and is promising strategy accelerating molecular plant breeding. However, current progress of phenotype genomic data alone has reached bottleneck, previous studies on transcriptomic metabolomic predictions ignored information. Here, we designed novel GP called multilayered least absolute shrinkage selection operator (MLLASSO) by integrating multiple omic into single that...
Abstract Delineating the spatial multiomics landscape will pave way to understanding molecular basis of physiology and pathology. However, current omics technology development is still in its infancy. Here, we developed a high-throughput situ pairwise sequencing (MiP-Seq) strategy efficiently decipher multiplexed DNAs, RNAs, proteins, small biomolecules at subcellular resolution. We delineated dynamic gene profiles hypothalamus using MiP-Seq. Moreover, MiP-Seq was unitized detect tumor...
Abstract Mycobacterium tuberculosis is the causative agent of (TB), which still leading cause mortality from a single infectious disease worldwide. The development novel anti-TB drugs and vaccines severely hampered by complicated time-consuming genetic manipulation techniques for M. tuberculosis. Here, we harnessed an endogenous type III-A CRISPR/Cas10 system efficient gene editing RNA interference (RNAi). This simple easy method only needs to transform mini-CRISPR array plasmid, thus...
DNA methylation plays a significant role in transcriptional regulation by repressing activity. Change of the level is an important factor affecting expression target genes and downstream phenotypes. Because current experimental technologies can only assay small proportion CpG sites human genome, it urgent to develop reliable computational models for predicting genome-wide methylation. Here, we proposed novel algorithm that accurately extracted sequence complexity features (seven features)...
Abstract: Deciphering the code of cis-regulatory element (CRE) is one core issues current biology. As an important category CRE, enhancers play crucial roles in gene transcriptional regulations a distant manner. Further, disruption enhancer can cause abnormal transcription and, thus, trigger human diseases, which means that its accurate identification currently broad interest. Here, we introduce innovative concept, i.e., abelian complexity function (ACF), more complex extension classic...
Genomic abnormalities are strongly associated with cancer and infertility. In this study, we develop a simple efficient method - multiple genetic abnormality sequencing (MGA-Seq) to simultaneously detect structural variation, copy number single-nucleotide polymorphism, homogeneously staining regions, extrachromosomal DNA (ecDNA) from single tube. MGA-Seq directly sequences proximity-ligated genomic fragments, yielding dataset concurrent genome three-dimensional whole-genome information,...
Abstract Mycobacterium tuberculosis ( M.tb ) causes the current leading infectious disease. Examination of functional genomics and development drugs vaccines are hampered by complicated time-consuming genetic manipulation techniques for M.tb. Here, we reprogrammed endogenous type III-A CRISPR-Cas10 system simple efficient gene editing, RNA interference screening via delivery a plasmid harboring mini-CRISPR array, thereby avoiding introduction exogenous proteins minimizing proteotoxicity. We...
Coronaviruses are a great source of threat to public health which could infect various species and cause diverse diseases. However, the epidemic's spreading among different remains elusive. This study proposed an in silico infection analysis (iSFA) system that includes pathogen genome or transcript mining transcriptome data potential host performed comprehensive about 38 coronaviruses wild animals, based on 2,257 datasets from 89 mammals' lung intestine, revealed multiple coronavirus...
The visible light and infrared image fusion technology can effectively combine the high resolution information of with thermal target image, so as to achieve a more accurate comprehensive expression scene. Traditional methods are difficult highlight salient objects retain rich details. Therefore, this paper proposes algorithm based on Fuzzy C-means Clustering (FCM). uses FCM region projection method extract background source combines Non-subsample Shear-wave Transform (NSST) decompose each...
SUMMARY Genomic abnormalities, including structural variation (SV), copy number (CNV), single-nucleotide polymorphism (SNP), homogenously staining regions (HSR) and extrachromosomal DNA (ecDNA), are strongly associated with cancer, rare diseases infertility. A robust technology to simultaneously detect these genomic abnormalities is highly desired for clinical diagnosis basic research. In this study, we developed a simple cost-effective method – multiple genetic abnormality sequencing...
Abstract The highly organized three-dimensional genome is crucial for gene transcription. However, it remains elusive how the order of architecture related to its function. Here, we developed a single-cell Hi-C method and proposed TAD “degree disorder” as measure organizational patterns, which correlated with chromatin epigenetic states, expression co-regulation, structure variability in individual cells. Upon Mycobacterium tuberculosis infection, NF-κB enters into nucleus, binds target...