A GLOBAL CENSUS OF FISSION YEAST DEUBIQUITINATING ENZYME LOCALIZATION AND INTERACTION NETWORKS REVEALS DISTINCT COMPARTMENTALIZATION PROFILES AND OVERLAPPING FUNCTIONS IN ENDOCYTOSIS AND POLARITY.

A global census of fission yeast deubiquitinating enzyme localization and interaction networks reveals distinct compartmentalization profiles and overlapping functions in endocytosis and polarity.

Ubiquitination and deubiquitination are reciprocal processes that tune protein stability, function, and/or localization.The removal of ubiquitin and remodeling of ubiquitin chains is catalyzed by deubiquitinating enzymes (DUBs), which are cysteine proteases or metalloproteases.Although ubiquitination has been extensively studied for decades, the co

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Adaptation and Mitigation Strategies of Climate Change From Agricultural Sector In the Tabalong District (South Borneo)

Agriculture and climate change have a complex causal relationship.The agricultural sector produces large amounts of Green House Gases (GHG) such as CH4, CO2, and N2O which affect the climate.One of the consequences of climate change is an increase in rainfall.This has caused 2,971.51 ha of submerged and damaged rice fields in the Tabalong District.

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Uncomplicated Wide Oblique Clivus Fracture, the First Case to be Included in the List of Classification; Report of the Case and Review of Literature

Sheno-occipital diastasis happens more frequently in children and is accompanied with neural and vascular injuries leading to a high rate of mortality.We present a rare type of clival fracture in a 21 years old Sweaters man who could survive without any deficit even though the fracture extended widely from left Asterion to the right orbit accompani

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Bearing fault diagnosis method based on improved compressed sensing and deep multi-kernel extreme learning machine

ObjectiveIn response to challenges such as Pool Slides large sampling data, extended diagnosis time, and subjective fault feature selection in traditional bearing fault diagnosis, a CS-DMKELM intelligent diagnosis model for rolling bearings is proposed based on compressed sensing(CS) and deep multi-kernel extreme learning machine(D-MKELM) theory.Me

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