Results 91 to 100 of about 11,702,336 (253)

Characteristics of the phenotypes in prevalent and incident cases of heart failure in primary care: IBERICAN study

open access: yesBMC Primary Care
Background The management in primary care (PC) of the patients with Heart Failure (HF) is different from the management hospital, in a special way compared to cardiology departments.
Sergio Cinza-Sanjurjo   +9 more
doaj   +1 more source

Autophagy and mitophagy in pancreatic β‐cell homeostasis and their involvement in diabetes pathophysiology

open access: yesFEBS Letters, EarlyView.
This review focuses on the role of autophagy and mitophagy in maintaining pancreatic β‐cell function and homeostasis. We discuss how genetic defects affecting these pathways contribute to the development of type 1, type 2, monogenic, and gestational diabetes. We further explore their potential as therapeutic targets. Created in BioRender.
Yunkyeong Lee   +2 more
wiley   +1 more source

MDR analysis of gene-environment interaction.

open access: yes, 2013
MDR analysis of gene-environment interaction.
Jia Su (128774)   +8 more
core   +1 more source

Golgi enzymes are retrieved from the plasma membrane to the trans‐Golgi network

open access: yesFEBS Letters, EarlyView.
Golgi enzymes are traditionally considered resident proteins retained within the Golgi apparatus. Here, we demonstrate that a subset transiently reaches the cell surface and is subsequently retrieved to the trans‐Golgi network via retrograde transport. Using a nanobody‐based toolkit, we uncover a dynamic trafficking cycle of several Golgi enzymes.
Dominik P. Buser, Tina Junne
wiley   +1 more source

Robust Tests for Additive Gene-Environment Interaction in Case-Control Studies Using Gene-Environment Independence [PDF]

open access: yes, 2017
There have been recent proposals advocating the use of additive gene-environment interaction instead of the widely used multiplicative scale, as a more relevant public health measure.
Consortium, for the Ovarian Cancer Association   +67 more
core   +2 more sources

Ligand‐dependent transcriptional heterogeneity in cell cycle gene expression delays G1/S entry

open access: yesFEBS Letters, EarlyView.
EGF and HRG induce distinct G1/S progression programs in ErbB2‐amplified BT474 breast cancer cells. Despite activating the potent ErbB2–ErbB3 heterodimer, HRG does not accelerate cell‐cycle entry. Instead, EGF promotes earlier restriction‐point passage via ERK–FOS signaling, whereas HRG activates the AKT–MYC axis, driving transcriptional heterogeneity ...
Ririn Rahmala Febri   +5 more
wiley   +1 more source

Functional comparison of EncB and EncC cargo proteins in iron storage within the Myxococcus xanthus encapsulin

open access: yesFEBS Letters, EarlyView.
Encapsulins are protein nanocompartments that play an important role in iron storage. In the Myxococcus xanthus encapsulin system, two cargo proteins called EncB and EncC contribute to iron mineralization. Here, we show that EncB and EncC generate iron‐containing minerals with distinct chemical compositions, suggesting that the composition of stored ...
Harry B. McDowell   +2 more
wiley   +1 more source

Summary of gene-environment interaction results.

open access: yes, 2013
Summary of gene-environment interaction results.
Yungling Leo Lee (176573)   +5 more
core   +1 more source

‘Guide and Prejudice’— How Argonautes recognize targets across domains of life

open access: yesFEBS Letters, EarlyView.
Argonaute proteins use short nucleic‐acid guides to locate and regulate specific targets across all domains of life. Despite striking diversity—from human gene silencing to bacterial immune defence—all Argonautes share a conserved three‐stage recognition logic: guide‐directed sampling, progressive target pairing with a conformational checkpoint and ...
Jack P. K. Bravo
wiley   +1 more source

A Multi-Level Organization of Semantic Primitives that Enables an Autonomous Design Agent to Learn Model of Interaction with the Environment

open access: yes, 2007
: The intelligent systems that design in an environment require models of environment. Autonomous learning agents, that start with no models of environment, need to generate models of environment.
Learn Model   +2 more
core  

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