Genetics

Ultra-high-throughput mapping of genetic design space.

Massively parallel genetic screens have been used to map sequence-to-function relationships for a va...

Integrating single-cell and bulk transcriptomes with machine learning reveals a CAF signature for immunotherapy response in dMMR endometrial cancer.

BACKGROUND: Cancer-associated fibroblasts (CAFs) are key players in the tumor microenvironment (TME)...

Disentangling direct and pleiotropic SNP effects in alfalfa (Medicago sativa L.) using causal graph learning.

Alfalfa (Medicago sativa L.) is a critical forage crop whose improvement depends on resolving the co...

FSBLUP: a novel strategy of fusion similarity matrix construction via optimally integrating intermediate omics data to enhance genomic prediction.

The increasing availability of multi-omics data is promising in enhancing genomic prediction in bree...

CADS: A Causal Inference Framework for Identifying Essential Genes to Enhance Drug Synergy Prediction.

MOTIVATION: Drug synergy is crucial for developing effective combination therapies, but traditional ...

Machine learning reveals sequence and methylation determinants of SaCas9-PAM interactions in bacteria.

Cas9 nucleases defend bacteria against invading DNA and can be used with single guide RNAs (sgRNAs) ...

Cutting-Edge AI Technologies in Skin Cancer Applications.

The rapid development of multimodal large language models (LLMs) such as GPT and Med-PaLM is reshapi...

Next-generation lung-cancer-on-a-chip: toward personalized therapy, AI, and CRISPR-driven models.

Lung-cancer-on-a-chip (LCOC) technologies have advanced rapidly, yet most models evaluate mechanical...

Dbert2_LR: A deep learning-based model for predicting cis-regulatory elements in crops.

Cis-regulatory elements (CREs) are key determinants of gene expression underlying complex agronomic ...

Integrated Single Cell Spatial Analysis Reveals Dysregulated Basal Progenitor Cells in Ulcerative Colitis Pathogenesis: A Multi Omics Study.

BACKGROUND AND AIMS: Ulcerative colitis (UC), a chronic inflammatory bowel disease, causes persisten...

Automated high-throughput microscopy screening unveiled new Listeria monocytogenes genes involved in cell infection.

To uncover novel genetic factors required for Listeria monocytogenes cell infection, we developed an...

NEIL1 suppresses ROS accumulation to promote temozolomide resistance and malignant progression in glioma cells.

BACKGROUND: Glioma is the most common malignant primary brain tumor. Temozolomide (TMZ) is the stand...

Programmable Smart CAR-T design: A new paradigm in precision immunotherapy driven by logic gates, conditional activation, allogeneic strategies, and artificial intelligence.

Chimeric antigen receptor T-cell (CAR-T) therapy has achieved unprecedented success in hematological...

Identifying endoplasmic reticulum stress-related key genes of vascular dementia using bioinformatics and biological experiments.

Vascular dementia (VaD) is the second most common type of dementia, yet its pathogenesis is not full...

Recent advances in the neurogenomics of autism spectrum disorder.

Neurogenomics has provided exceptional insights into the genetic architecture underlying autism spec...

WRKY Transcription Factors: Integral Regulators of Defence Responses to Biotic Stress in Crops.

Crops are continually challenged by biotic stresses, including fungal, bacterial and viral pathogens...

Analysis and regulation of baijiu aroma-active compounds: integrating metabolomics, sensory genomics, and artificial intelligence.

Baijiu aroma is governed by a small number of odor-active compounds present at trace or ultra-trace ...

GCLSC: Single-cell clustering model based on graph contrastive learning.

The advent of single-cell RNA sequencing (scRNA-seq) technology has enabled the analysis of cellular...

A causal bidirectional selective state space model for imaging genetics in neurodegenerative diseases.

Brain imaging genetics aims to uncover the pathological mechanisms and improve the diagnosis of brai...

Author's Reply: Unrecognized Biases and Validation Gaps in TraceOrg for Automated Autosomal Dominant Polycystic Kidney Disease Volumetry.

Unrecognized Biases and Validation Gaps in TraceOrg for Automated Autosomal Dominant Polycystic Kidney Disease Volumetry.