AIMC Topic: Animals

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Diff-SE: A Diffusion-Augmented Contrastive Learning Framework for Super-Enhancer Prediction.

Journal of chemical information and modeling
Super-enhancers (SEs) are cis-regulatory elements that play crucial roles in gene expression and are implicated in diseases such as cancer and Alzheimer's. Traditional identification methods rely on ChIP-seq experiments, which are costly and time-con...

Uncovering key markers and therapeutic targets for renal fibrosis in diabetic kidney disease through bulk and single-cell RNA sequencing.

Journal of translational medicine
BACKGROUND: Diabetic kidney disease (DKD) is the major cause of chronic kidney failure, with tubulointerstitial fibrosis playing a crucial role in disease development. Identifying fibrosis-related genes is crucial for improving diagnosis and developi...

3BTRON: A Blood-Brain Barrier Recognition Network.

Communications biology
The blood-brain barrier (BBB) plays a crucial role in maintaining brain homeostasis. During ageing, the BBB undergoes structural alterations. Electron microscopy (EM) is the gold standard for studying the structural alterations of the brain vasculatu...

DOLPHIN advances single-cell transcriptomics beyond gene level by leveraging exon and junction reads.

Nature communications
The advent of single-cell sequencing has revolutionized the study of cellular dynamics, providing unprecedented resolution into the molecular states and heterogeneity of individual cells. However, the rich potential of exon-level information and junc...

Divide-and-conquer strategy with engineered ossification center organoids for rapid bone healing through developmental cell recruitment.

Nature communications
Current approaches for bone repair predominantly target localized delivery of growth factors that are aimed at the coupling of angiogenesis and osteogenesis. However, delayed revascularization and regeneration of critical-sized bone defects are still...

Unsupervised deep clustering as a tool for the identification of dark taxa in biomonitoring.

Environmental monitoring and assessment
The identification of aquatic macroinvertebrates, particularly dark taxa like Chironomidae, due to their complex morphological features and unresolved taxonomy hinder the efficiency of routine biomonitoring. This study proposes an unsupervised deep c...

Discovering novel type I collagen fragments from Cyprinus carpio supporting bone regeneration.

Functional & integrative genomics
Fish collagen is gaining increasing attention in tissue engineering due to its exceptional bioactivity. This study aimed to isolate functional fish collagen fragments capable of microbial biosynthesis and supporting bone tissue regeneration. Collagen...

The interplay between homeostatic synaptic scaling and homeostatic structural plasticity maintains the robust firing rate of neural networks.

eLife
Critical network states and neural plasticity enable adaptive behavior in dynamic environments, supporting efficient information processing and experience-dependent learning. Synaptic-weight-based Hebbian plasticity and homeostatic synaptic scaling a...

An improved lightweight method based on EfficientNet for birdsong recognition.

Scientific reports
In the context of birdsong recognition, conventional modeling approaches often involve a significant number of parameters and high computational costs, rendering them unsuitable for deployment in embedded field monitoring devices. To improve the conv...

A Public Dataset of Annotated Orcinus orca Acoustic Signals for Detection and Ecotype Classification.

Scientific data
Killer whales (Orcinus orca) exhibit significant ecological and genetic diversity, with three primary sympatric populations in the Northeast Pacific: Resident, Bigg's (Transient), and Offshore. Each population is characterized by distinct foraging ha...