Single-cell omics: experimental workflow, data analyses and applications

F Sun, H Li, D Sun, S Fu, L Gu, X Shao, Q Wang… - Science China Life …, 2025 - Springer
Cells are the fundamental units of biological systems and exhibit unique development
trajectories and molecular features. Our exploration of how the genomes orchestrate the …

Goals and approaches for each processing step for single-cell RNA sequencing data

Z Zhang, F Cui, C Wang, L Zhao… - Briefings in …, 2021 - academic.oup.com
Single-cell RNA sequencing (scRNA-seq) has enabled researchers to study gene
expression at the cellular level. However, due to the extremely low levels of transcripts in a …

HSP90 inhibitor 17-AAG attenuates nucleus pulposus inflammation and catabolism induced by M1-polarized macrophages

S Zhang, P Wang, B Hu, W Liu, X Lv… - Frontiers in cell and …, 2022 - frontiersin.org
Overactivated inflammation and catabolism induced by proinflammatory macrophages are
involved in the pathological processes of intervertebral disc (IVD) degeneration (IVDD). Our …

Complex hierarchical structures in single-cell genomics data unveiled by deep hyperbolic manifold learning

T Tian, C Zhong, X Lin, Z Wei… - Genome Research, 2023 - genome.cshlp.org
With the advances in single-cell sequencing techniques, numerous analytical methods have
been developed for delineating cell development. However, most are based on Euclidean …

PARE: A framework for removal of confounding effects from any distance-based dimension reduction method

AA Chen, K Clark, BE Dewey, A DuVal… - PLoS computational …, 2024 - journals.plos.org
Dimension reduction tools preserving similarity and graph structure such as t-SNE and
UMAP can capture complex biological patterns in high-dimensional data. However, these …

[HTML][HTML] Novel biomarkers of intervertebral disc cells and evidence of stem cells in the intervertebral disc

J Wang, Y Huang, L Huang, K Shi, C Zhu, L Li… - Osteoarthritis and …, 2021 - Elsevier
Objective Rat intervertebral disc (IVD) is one of the most commonly used and cost-effective
alternative models for human IVD. Many IVD related clinical studies need to be pre-tested on …

EMBEDR: distinguishing signal from noise in single-cell omics data

EM Johnson, W Kath, M Mani - Patterns, 2022 - cell.com
Summary Single-cell" omics"-based measurements are often high dimensional so that
dimensionality reduction (DR) algorithms are necessary for data visualization and analysis …

Identification of tumor antigens and immune subtypes in breast cancer for mRNA vaccine development

RQ Li, W Wang, L Yan, LY Song, X Guan… - Frontiers in …, 2022 - frontiersin.org
Background Poor prognosis, resistance to chemotherapy, insensitivity to radiotherapy, and a
high prevalence of adverse drug reactions remain urgent issues for breast cancer (BC) …

cKBET: assessing goodness of batch effect correction for single-cell RNA-seq

Y Zhao, Y Guo, L Li - Frontiers of Computer Science, 2024 - Springer
Single-cell RNA sequencing reveals the gene structure and gene expression status of a
single cell, which can reflect the heterogeneity between cells. However, batch effects caused …

Data matrix normalization and merging strategies minimize batch-specific systemic variation in scRNA-seq data

BR Babcock, A Kosters, J Yang, ML White, EEB Ghosn - bioRxiv, 2021 - biorxiv.org
Single-cell RNA sequencing (scRNA-seq) can reveal accurate and sensitive RNA
abundance in a single sample, but robust integration of multiple samples remains …