Genetics

Overcoming extrapolation challenges of deep learning by incorporating physics in protein sequence-function modeling.

Understanding protein sequence-to-function relationship is crucial to assist studies of genetic diseases, protein evolution, and protein engineering. The sequence-to-function relationship of proteins is inherently complex due to multi-site high-dimensional correlation and structural dynamics. Deep learning algorithms such as (graph) convolutional neural networks and recently transformers have beco...

[Construction and teaching practice of an AI- and OBE-integrated smart course Genetic Engineering].

Several critical challenges exist in the graduate course Genetic Engineering at Beijing Institute of Technology, including conceptual confusion in core topics such as CRISPR-Cas9, difficulties in transferring theoretical knowledge to experimental design, fragmentation of teaching resources across multiple platforms, and the lack of process-oriented assessment for complex reasoning and research com...

Metagenomic analysis of the gut microbiota in Cryptosporidium-infected Tibetan sheep.

Cryptosporidium are important causative parasitic protozoa that cause gastrointestinal discomfort and diarrhea in humans and animals, posing a huge th...

Development of hematopoietic stem cell-targeted lipid nanoparticles through lipid composition optimization.

Hematopoietic stem cell (HSC)-targeted gene editing holds significant potential for treating hereditary hematopoietic disorders, yet the efficient and...

AI-discovered cellular morphometric biomarkers in needle biopsy of prostate cancer predict neoadjuvant androgen deprivation therapy response and enable therapeutic targeting of mTOR in androgen deprivation therapy-resistant tumors.

It is imperative to identify patients with prostate cancer (PCa) who will not benefit from androgen receptor signaling inhibitors and to improve their...

The alteration of the brainstem functional connectivity in the first episode and drug-native generalized anxiety disorder and its transcriptional patterns.

BACKGROUND: Although the brainstem abnormality has been reported in anxiety disorders, there is a scarcity of research targeting the brainstem's funct...

Integrating liquid biopsies and artificial intelligence for early cancer detection: A systematic review and meta-analysis.

INTRODUCTION: The latest generation of liquid biopsies incorporates multi-omic features, including genomics, methylomics, and fragmentomics. Machine l...

ALDH5A1 as a key in osteonecrosis of the femoral head: Insights from bioinformatics and experimental validation.

The present study aims to identify key genes and elucidate the molecular mechanisms underlying osteonecrosis of the femoral head (ONFH), with the goal...

Bioinformatics and machine learning identify ITIH4 and ZC3H13 as novel mRNA biomarkers for major depressive disorder that promote microglial M1 polarization.

UNLABELLED: Major depressive disorder (MDD), a prevalent mental illness, currently lacks reliable biomarkers and depends predominantly on subjective d...

Biotechnology advances and the parasitology paradigm: From genomes to multi-omics and translation.

Parasitic diseases impose a substantial and often underestimated burden on human and animal health, food security and economic development. Over recen...

EXPRESS: Identification of Acetylation-Related Molecular Signatures in Knee Osteoarthritis Patients with Significant Response to Warm-Needle Acupuncture Using Machine-Learning Approaches.

OBJECTIVE: This study aims to delineate remodeling effects of acetylation-related gene expression in knee osteoarthritis (KOA) patients markedly respo...

Adversarial AI reveals mechanisms and treatments for disorders of consciousness.

Understanding disorders of consciousness (DOC) remains one of the most challenging problems in neuroscience, hindered by the lack of experimental mode...

The 12 o'clock assay: an optimized dodecaplex droplet digital PCR assay for robust DNA methylation quantification and epigenetic clock-based age-predictions.

DNA methylation quantification in age-prediction models relies on only a few techniques with inherent limitations and biases, reducing the accuracy an...

Building RNA Coarse-Grained Force Fields: Design Principles and Training Strategies.

The development of accurate and efficient computational models is essential for understanding RNA structures and biological pathways; however, the app...

Research on Alzheimer's Disease Risk Assessment Models and Biomarker Screening Based on Bioinformatics Analysis and Machine Learning Algorithms.

INTRODUCTION: Alzheimer's Disease (AD) is among the most prevalent neurodegenerative disorders globally, yet effective early diagnostic strategies rem...

Genome-wide detection of human 5' UTR variants that impact protein translation.

The 5' untranslated region (5' UTR) of messenger RNAs (mRNAs) plays a central role in regulating protein synthesis initiation, particularly through th...

Integrated single-cell and bulk transcriptomic analysis identifies epithelial cell-related biomarkers and immune subtypes in focal segmental glomerulosclerosis.

BACKGROUND: Focal segmental glomerulosclerosis (FSGS) is a major cause of nephrotic syndrome and chronic kidney disease, characterized by podocyte inj...

A MULTIMODAL STOOL RNA, FIT AND MACHINE LEARNING CONCEPT FOR DETECTION OF ADVANCED PRECANCEROUS LESIONS AND COLORECTAL CANCER.

Accurate and effective early detection of colorectal cancer (CRC) and advanced precancerous lesions (APLs) is still a challenge. The purpose of this s...

Identification of Novel Non-coding Genetic Variants of Serum Urate Using Whole Genome Sequencing in 7,339 Chinese.

OBJECTIVE: To investigate the genetic architecture of low-frequency and rare variants of serum urate (SU) in East Asian populations, aiming to clarify...

HiCMamba: Enhancing Hi-C resolution and identifying 3D genome structures with state space modeling.

Hi-C technology measures genome-wide interaction frequencies, providing a powerful tool for studying the 3D genomic structure within the nucleus. Howe...