AIMC Topic: Cold-Shock Response

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Deep learning-enabled analysis reveals distinct neuronal phenotypes induced by aging and cold-shock.

BMC biology
BACKGROUND: Access to quantitative information is crucial to obtain a deeper understanding of biological systems. In addition to being low-throughput, traditional image-based analysis is mostly limited to error-prone qualitative or semi-quantitative ...

Autonomous recovery of wheat spikelet development following cold stress arrest mediated by modulation of sucrose degradation and IAA/ABA homeostasis.

Journal of experimental botany
Wheat rapidly induces complex metabolic reactions in response to cold stress, yet the physiological mechanisms governing its natural recovery process remain poorly understood. In a 2 year pot experiment, we examined recovery dynamics of the wheat cul...

Assessing the impact of low-temperature stress during anthesis stage on winter wheat grain development through computer vision and machine learning.

Journal of the science of food and agriculture
BACKGROUND: Extreme weather events, particularly spring low-temperature stress exacerbated by global warming, have become increasingly prevalent in the Huang-Huai-Hai Basin over the past 40 years, a key wheat-producing area in China. This study aims ...

A Transferable Machine Learning Framework for Predicting Transcriptional Responses of Genes Across Species.

Methods in molecular biology (Clifton, N.J.)
Leveraging existing resources in studied species to predict gene functions has the potential to rapidly expand understanding of annotated genes in other, less well-studied, species with assembled genomes. However, orthology is not a reliable predicto...