The multifunctional APE1 DNA repair–redox signaling protein as a drug target in human disease
RA Caston, S Gampala, L Armstrong… - Drug Discovery …, 2021 - Elsevier
Highlights•APE1 protein repairs small base lesions in the DNA base excision repair
pathway.•APE1 converts oxidized inactive transcription factors to a reduced and active …
pathway.•APE1 converts oxidized inactive transcription factors to a reduced and active …
Single-cell biological network inference using a heterogeneous graph transformer
Single-cell multi-omics (scMulti-omics) allows the quantification of multiple modalities
simultaneously to capture the intricacy of complex molecular mechanisms and cellular …
simultaneously to capture the intricacy of complex molecular mechanisms and cellular …
scGNN is a novel graph neural network framework for single-cell RNA-Seq analyses
Single-cell RNA-sequencing (scRNA-Seq) is widely used to reveal the heterogeneity and
dynamics of tissues, organisms, and complex diseases, but its analyses still suffer from …
dynamics of tissues, organisms, and complex diseases, but its analyses still suffer from …
Goals and approaches for each processing step for single-cell RNA sequencing data
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 …
expression at the cellular level. However, due to the extremely low levels of transcripts in a …
The Cancer Surfaceome Atlas integrates genomic, functional and drug response data to identify actionable targets
Cell-surface proteins (SPs) are a rich source of immune and targeted therapies. By
systematically integrating single-cell and bulk genomics, functional studies and target …
systematically integrating single-cell and bulk genomics, functional studies and target …
Fc-optimized anti-CCR8 antibody depletes regulatory T cells in human tumor models
JR Campbell, BR McDonald, PB Mesko, NO Siemers… - Cancer Research, 2021 - AACR
FOXP3+ regulatory T cells (Treg) play a critical role in mediating tolerance to self-antigens
and can repress antitumor immunity through multiple mechanisms. Therefore, targeted …
and can repress antitumor immunity through multiple mechanisms. Therefore, targeted …
A graph neural network model to estimate cell-wise metabolic flux using single-cell RNA-seq data
The metabolic heterogeneity and metabolic interplay between cells are known as significant
contributors to disease treatment resistance. However, with the lack of a mature high …
contributors to disease treatment resistance. However, with the lack of a mature high …
scREAD: a single-cell RNA-Seq database for Alzheimer's disease
Alzheimer's disease (AD) is a progressive neurodegenerative disorder of the brain and the
most common form of dementia among the elderly. The single-cell RNA-sequencing (scRNA …
most common form of dementia among the elderly. The single-cell RNA-sequencing (scRNA …
BP4RNAseq: a babysitter package for retrospective and newly generated RNA-seq data analyses using both alignment-based and alignment-free quantification …
Processing raw reads of RNA-sequencing (RNA-seq) data, no matter public or newly
sequenced data, involves a lot of specialized tools and technical configurations that are …
sequenced data, involves a lot of specialized tools and technical configurations that are …
QUBIC2: a novel and robust biclustering algorithm for analyses and interpretation of large-scale RNA-Seq data
Motivation The biclustering of large-scale gene expression data holds promising potential
for detecting condition-specific functional gene modules (ie biclusters). However, existing …
for detecting condition-specific functional gene modules (ie biclusters). However, existing …