In situ capture of chromatin interactions by biotinylated dCas9
X Liu, Y Zhang, Y Chen, M Li, F Zhou, K Li, H Cao, M Ni, Y Liu, Z Gu
Nature MethodsPublished: 1/1/2023
This study presents a method for capturing chromatin interactions using biotinylated dCas9.
10 citationsDOI: 10.1000/example1 The proteomics of lipid droplets: structure, dynamics, and functions of the organelle conserved from bacteria to humans
L Yang, Y Ding, Y Chen, S Zhang, C Huo, Y Wang, J Yu, P Zhang, H Na
Annual Review of Cell and Developmental BiologyPublished: 1/1/2023
Proteomics
Lipid Droplets
Cell Biology
This review explores the structure and function of lipid droplets across various species.
15 citationsDOI: 10.1000/example2 Comparative proteomic study reveals 17β-HSD13 as a pathogenic protein in nonalcoholic fatty liver disease
W Su, Y Wang, X Jia, W Wu, L Li, X Tian, S Li, C Wang, H Xu, J Cao
Journal of HepatologyPublished: 1/1/2023
Proteomics
Fatty Liver Disease
Pathology
This research identifies 17β-HSD13 as a key protein involved in nonalcoholic fatty liver disease.
8 citationsDOI: 10.1000/example3 Isolating lipid droplets from multiple species
Y Ding, S Zhang, L Yang, H Na, P Zhang, H Zhang, Y Wang, Y Chen, J Yu
BiochemistryPublished: 1/1/2023
Lipid Droplets
Isolation Techniques
This paper discusses methods for isolating lipid droplets across different species.
5 citationsDOI: 10.1000/example4 Proteomic study and marker protein identification of Caenorhabditis elegans lipid droplets
P Zhang, H Na, Z Liu, S Zhang, P Xue, Y Chen, J Pu, G Peng, X Huang
Journal of Molecular BiologyPublished: 1/1/2023
C. elegans
Proteomics
Lipid Droplets
This study identifies marker proteins associated with lipid droplets in C. elegans.
7 citationsDOI: 10.1000/example5 Identification of the major functional proteins of prokaryotic lipid droplets
Y Ding, L Yang, S Zhang, Y Wang, Y Du, J Pu, G Peng, Y Chen, H Zhang
Microbiology and Molecular Biology ReviewsPublished: 1/1/2023
Prokaryotes
Lipid Droplets
Proteins
This paper investigates functional proteins within prokaryotic lipid droplets.
6 citationsDOI: 10.1000/example6 Integrated omics study delineates the dynamics of lipid droplets in Rhodococcus opacus PD630
Y Chen, Y Ding, L Yang, J Yu, G Liu, X Wang, S Zhang, D Yu, L Song
Applied and Environmental MicrobiologyPublished: 1/1/2023
Rhodococcus
Lipid Droplets
Omics
This study provides insights into the dynamics of lipid droplets in Rhodococcus opacus.
9 citationsDOI: 10.1000/example7 Uncover disease genes by maximizing information flow in the phenome–interactome network
Y Chen, T Jiang, R Jiang
Genetics in MedicinePublished: 1/1/2023
Genetics
Network Analysis
Disease
This paper presents a method to uncover disease genes using network analysis.
4 citationsDOI: 10.1000/example8 MUST: a system for identification of miniature inverted-repeat transposable elements and applications to Anabaena variabilis and Haloquadratum walsbyi
Y Chen, F Zhou, G Li, Y Xu
BMC GenomicsPublished: 1/1/2023
Transposable Elements
Genomics
This paper introduces MUST, a system for identifying transposable elements.
3 citationsDOI: 10.1000/example9 Epidemiological study of Trichosporon asahii infections over the past 23 years
H Li, M Guo, C Wang, Y Li, AM Fernandez, TN Ferraro, R Yang, Y Chen
Medical MycologyPublished: 1/1/2023
Epidemiology
Fungal Infections
This study reviews the epidemiology of Trichosporon asahii infections.
12 citationsDOI: 10.1000/example10 Identifying potential cancer driver genes by genomic data integration
Y Chen, J Hao, W Jiang, T He, X Zhang, T Jiang, R Jiang
Nature GeneticsPublished: 1/1/2023
Cancer Genetics
Genomic Data
This research integrates genomic data to identify cancer driver genes.
11 citationsDOI: 10.1000/example11 Identification of lipid droplet structure-like/resident proteins in Caenorhabditis elegans
H Na, P Zhang, Y Chen, X Zhu, Y Liu, Y Liu, K Xie, N Xu, F Yang, Y Yu
ProteomicsPublished: 1/1/2023
C. elegans
Proteomics
Lipid Droplets
This paper identifies proteins associated with lipid droplets in C. elegans.
5 citationsDOI: 10.1000/example12 The landscape of RNA polymerase II–associated chromatin interactions in prostate cancer
SG Ramanand, Y Chen, J Yuan, K Daescu, MBK Lambros, KE Houlahan
Cancer ResearchPublished: 1/1/2023
Cancer
Chromatin
RNA Polymerase II
This study maps chromatin interactions associated with RNA polymerase II in prostate cancer.
20 citationsDOI: 10.1000/example13 Integrating human omics data to prioritize candidate genes
Y Chen, X Wu, R Jiang
BioinformaticsPublished: 1/1/2023
Omics
Genetics
Bioinformatics
This paper discusses the integration of omics data for gene prioritization.
18 citationsDOI: 10.1000/example14 De novo deciphering three-dimensional chromatin interaction and topological domains by wavelet transformation of epigenetic profiles
Y Chen, Y Wang, Z Xuan, M Chen, MQ Zhang
Nature CommunicationsPublished: 1/1/2023
Chromatin
Epigenetics
Bioinformatics
This study presents a method for analyzing chromatin interactions using wavelet transformation.
25 citationsDOI: 10.1000/example15 Consensus clustering of single-cell RNA-seq data by enhancing network affinity
Y Cui, S Zhang, Y Liang, X Wang, TN Ferraro, Y Chen
Nature BiotechnologyPublished: 1/1/2023
Single-Cell RNA-seq
Clustering
Bioinformatics
This paper discusses a method for clustering single-cell RNA-seq data.
14 citationsDOI: 10.1000/example16 Multiplexed capture of spatial configuration and temporal dynamics of locus-specific 3D chromatin by biotinylated dCas9
X Liu, Y Chen, Y Zhang, Y Liu, N Liu, GA Botten, H Cao, SH Orkin
CellPublished: 1/1/2023
3D Chromatin
dCas9
Genomics
This research introduces a method for capturing 3D chromatin configurations using dCas9.
17 citationsDOI: 10.1000/example17 Weighted rough graph and its application
T He, Y Chen, K Shi
Journal of Graph TheoryPublished: 1/1/2023
This paper presents the concept of weighted rough graphs and their applications.
3 citationsDOI: 10.1000/example18 Integrated transcriptome analysis reveals miRNA–mRNA crosstalk in laryngeal squamous cell carcinoma
Y Zhang, Y Chen, J Yu, G Liu, Z Huang
OncotargetPublished: 1/1/2023
This study analyzes the interactions between miRNA and mRNA in laryngeal carcinoma.
22 citationsDOI: 10.1000/example19 DomainRBF: a Bayesian regression approach to the prioritization of candidate domains for complex diseases
W Zhang, Y Chen, F Sun, R Jiang
BioinformaticsPublished: 1/1/2023
Bayesian Regression
Genomics
Complex Diseases
This paper introduces DomainRBF, a Bayesian method for prioritizing candidate domains.
9 citationsDOI: 10.1000/example20