The interplay of transcriptional regulator SREBP1 with AMPK promotes lipid biosynthesis in Mucor circinelloides WJ11.

SREBP1 is a transcription factor that influences lipogenesis by regulating key genes associated with lipid biosynthesis, while AMPK, modulates lipid metabolism by regulating acetyl-CoA carboxylase. The exact role of these metabolic regulators in oleaginous microbes remains unclear. This study identified and manipulated the genes encoding SREBP1 (sre1) and α1 subunit of AMPK (ampk-α1) in Mucor circinelloides WJ11.

High dispersion by Cd incorporation leads to accelerate methanol synthesis rate in CO hydrogenation over Cu-Zn/SiO catalysts.

Green methanol fuel synthesis by CO hydrogenation is regarded as one of the potential viable techniques for meeting future energy demands. Enhancing catalytic performance and process knowledge are crucial for the practicality of catalyzed CO conversion pathways. Here, co-precipitation was utilized to prepare Cu-Zn bimetallic catalysts based on silica gel.

Investigating the influence of selenium and epibrassinolide on antioxidant activity, proline accumulation, and protein expression profiles in wheat plants experiencing heat and drought stress.

In the current investigation, the combination of selenium (Se) and epibrassinolide (EBL) exhibited a promising alleviative response against the concurrent stress of heat and drought in wheat plants. The compromised growth and photosynthetic performance of wheat plants under the combined stress of heat and drought were substantially improved with the treatment involving Se and EBL. This improvement was facilitated through the expression of Q9FIE3 and O04939 proteins, along with enhanced antioxidant activities.

Metabolic engineering of Mucor circinelloides to improve astaxanthin production.

Astaxanthin is a bioactive natural pigment with antioxidant properties. It has extensive applications within the industrial sector as well as in human and animal health. Mucor circinelloides is a zygomycete fungus that accumulates β-carotene as the main carotenoid compound.

Neuro-XAI: Explainable deep learning framework based on deeplabV3+ and bayesian optimization for segmentation and classification of brain tumor in MRI scans.

The prevalence of brain tumor disorders is currently a global issue. In general, radiography, which includes a large number of images, is an efficient method for diagnosing these life-threatening disorders. The biggest issue in this area is that it takes a radiologist a long time and is physically strenuous to look at all the images.