Results 161 to 170 of about 2,200,665 (307)

A minimal cellulosome‐like system in Cellulosilyticum lentocellum

FEBS Open Bio, EarlyView.
Cellulose‐degrading bacteria typically use cellulosomes, large multi‐enzyme complexes on a scaffold protein. In Cellulosilyticum lentocellum, we characterise a far smaller arrangement, a single scaffold bound to one cellulase through a single cohesin‐dockerin interaction.
John Allan, Amias Alstrom‐Moore, Gary W Black   +2 more
wiley   +1 more source

ARE CROP YIELDS NORMALLY DISTRIBUTED? [PDF]

This paper revisits the issue of crop yield distributions using improved model specifications, estimation and testing procedures that address the methodological concerns raised in recent literature that could have invalidated previous conclusions of ...
Ramirez, Octavio A., Field, James E., Misra, Sukant K.   +2 more
core  

Sensitivity of machine learning regression models to data structure and quality in crop yield prediction. [PDF]

PLoS One
Zinzinhédo ML, Mitchozounnou MF, Salako KV, Glèlè Kakaï R.   +3 more
europepmc   +1 more source

BCG vaccination potentiates oxidative phosphorylation in neonatal myeloid‐derived suppressor cells

FEBS Open Bio, EarlyView.
BCG vaccination enhances oxidative phosphorylation in neonatal MDSCs, impairing their immunosuppressive function. It upregulates electron transport chain genes and mitochondrial activity, increasing ATP and oxygen consumption. Pharmacological OXPHOS inhibition partially restores suppressive capacity, confirming causality.
Yingying Chen, Hui Li
wiley   +1 more source

An Econometric Analysis of U.S. Crop Yield and Cropland Acreage: Implications for the Impact of Climate Change [PDF]

We conduct an econometric analysis of the factors influencing U.S. crop yields and acres using U.S. county level data from 1977 to 2007 and evaluate the likely effects of future climate change on U.S. crop yields based on the projected climate changes by
Khanna, Madhu, Huang, Haixiao
core  

An explainable spatio-temporal deep learning framework for crop yield prediction and recommendation. [PDF]

Sci Rep
Piyar S N, S DB.
europepmc   +1 more source

The C‐terminal truncated splicing variant of NK1R negatively modulates substance P‐stimulated NK1R signaling

FEBS Open Bio, EarlyView.
The neurokinin 1 receptor exists as full‐length (NK1L) and C‐terminally truncated (NK1S) splice variants. We show that NK1S heterodimerizes with NK1L, impairing Gαq coupling and Ca2+ mobilization while enhancing β‐arrestin1 recruitment. NK1S suppresses substance P‐driven gene expression and cell migration, revealing NK1S as an endogenous biased ...
Lan Phuong Nguyen, Duc Trung Nguyen, Minyoung Cho, Jihun Kim, Soyeon In, Thai Uy Nguyen, Sunghoon Hurh, Beom Jin Park, Jong‐Ik Hwang   +8 more
wiley   +1 more source

ESTIMATING CORN YIELD RESPONSE MODELS TO PREDICT IMPACTS OF CLIMATE CHANGE [PDF]

Projections of the impacts of climate change on agriculture require flexible and accurate yield response models. Typically, estimated yield response models have used fixed calendar intervals to measure weather variables and omitted observations on solar ...
Dixon, Bruce L., Hollinger, Steven E., Garcia, Philip, Tirupattur, Viswanath   +3 more
core  

Pollinator Dependency and Regional Climate Affect Crop Yield Development Under Climate Change. [PDF]

Ecol Evol
Prucker P, Kollmann J, Leonhardt SD.
europepmc   +1 more source

The C‐terminal domain of yeast Arginyltransferase1 is essential for its catalytic activity

FEBS Open Bio, EarlyView.
Arginyltransferase 1 (Ate1), a eukaryotic enzyme, catalyses arginylation, transferring arginine from tRNA‐Arg to the amino terminus of the target protein. Overexpression of Ate1 in yeast is lethal and is dependent on arginylation. This study elucidates how mutations in the cofactor‐binding and active site of Ate1 and truncation of its structural ...
Vikas Kumar Yadav, Shweta Shweta, Manisha Malhotra, Vikash Maurya, Akhilesh Kumar   +4 more
wiley   +1 more source