Guidelines for bioinformatics of single-cell sequencing data analysis in Alzheimer's disease: review, recommendation, implementation and application

M Wang, W Song, C Ming, Q Wang, X Zhou… - Molecular …, 2022 - Springer
Alzheimer's disease (AD) is the most common form of dementia, characterized by
progressive cognitive impairment and neurodegeneration. Extensive clinical and genomic …

Single-cell network biology for resolving cellular heterogeneity in human diseases

J Cha, I Lee - Experimental & molecular medicine, 2020 - nature.com
Understanding cellular heterogeneity is the holy grail of biology and medicine. Cells
harboring identical genomes show a wide variety of behaviors in multicellular organisms …

Silent transcription intervals and translational bursting lead to diverse phenotypic switching

X Yang, S Luo, Z Zhang, Z Wang, T Zhou… - Physical Chemistry …, 2022 - pubs.rsc.org
Gene-expression bimodality, as a potential mechanism generating phenotypic cell diversity,
can enhance the survival of cells in a fluctuating environment. Previous studies have shown …

Elucidation of biological networks across complex diseases using single-cell omics

Y Li, A Ma, EA Mathé, L Li, B Liu, Q Ma - Trends in Genetics, 2020 - cell.com
Single-cell multimodal omics (scMulti-omics) technologies have made it possible to trace
cellular lineages during differentiation and to identify new cell types in heterogeneous cell …

Identification of four hub genes as promising biomarkers to evaluate the prognosis of ovarian cancer in silico

J Chen, Y Cai, R Xu, J Pan, J Zhou, J Mei - Cancer cell international, 2020 - Springer
Abstract Background Ovarian cancer (OvCa) is one of the most fatal cancers among females
in the world. With growing numbers of individuals diagnosed with OvCa ending in deaths, it …

The miR-33a-5p/CROT axis mediates ovarian cancer cell behaviors and chemoresistance via the regulation of the TGF-β signal pathway

X Li, X Gao, J Yuan, F Wang, X Xu, C Wang… - Frontiers in …, 2022 - frontiersin.org
Due to the lack of symptoms and detection biomarkers at the early stage, most patients with
ovarian cancer (OC) are diagnosed at an advanced stage and often face chemoresistance …

Identification of hub genes in colorectal cancer based on weighted gene co-expression network analysis and clinical data from The Cancer Genome Atlas

Y Zhang, J Luo, Z Liu, X Liu, Y Ma, B Zhang… - Bioscience …, 2021 - portlandpress.com
Colorectal cancer (CRC) is one of the most common tumors worldwide and is associated
with high mortality. Here we performed bioinformatics analysis, which we validated using …

scGENA: a single-cell gene coexpression network analysis framework for clustering cell types and revealing biological mechanisms

YA Algabri, L Li, ZP Liu - Bioengineering, 2022 - mdpi.com
Single-cell RNA-sequencing (scRNA-seq) is a recent high-throughput technique that can
measure gene expression, reveal cell heterogeneity, rare and complex cell populations, and …

[PDF][PDF] LncRNA EGOT regulates the proliferation and apoptosis of colorectal cancer by miR-33b-5p/CROT axis

Y Ni, C Li, C Bo, B Zhang, Y Liu, X Bai, B Cui… - Biosci …, 2020 - pdfs.semanticscholar.org
2 colorectal cancer (CRC) remains mostly unknown. This study was aimed 23 at exploring
the specific role of lncRNA EGOT in CRC. Data from this 24 study revealed that EGOT …

Epigenetic loss of heterogeneity from low to high grade localized prostate tumours

SE Eksi, A Chitsazan, Z Sayar, GV Thomas… - Nature …, 2021 - nature.com
Identifying precise molecular subtypes attributable to specific stages of localized prostate
cancer has proven difficult due to high levels of heterogeneity. Bulk assays represent a …