Results 81 to 90 of about 2,198,658 (258)

Somatostatin receptor 4 (SSTR4) is a tumor suppressor in cutaneous and head & neck squamous cell carcinomas

open access: yesMolecular Oncology, EarlyView.
This study identifies somatostatin receptor 4 (Sstr4) as a critical tumor suppressor against skin and head/neck cancers (HNSCC, cSCC, and BCC). The loss of Sstr4 removes a check on cell growth, causing hyperactivation of the MAPK‐ERK signaling pathway (↑).
Ali Taqvi   +6 more
wiley   +1 more source

Toward an ice-free Barents Sea [PDF]

open access: yes, 2017
Arctic winter sea ice loss is most pronounced in the Barents Sea. Here we combine observations since 1850 with climate model simulations to examine the recent record low winter Barents Sea ice extent.
Årthun, Marius   +3 more
core   +1 more source

Biomarker Distributions in (Sub)‐Arctic Surface Sediments and Their Potential for Sea Ice Reconstructions

open access: yesGeochemistry, Geophysics, Geosystems, 2020
To evaluate the present sea ice changes in a longer‐term perspective, the knowledge of sea ice variability on preindustrial and geological time scales is essential.
Henriette M. Kolling   +5 more
doaj   +1 more source

Castration‐resistant prostate cancer cells are addicted to the high activity of cyclin‐dependent kinase 2

open access: yesMolecular Oncology, EarlyView.
We show that emergence of castration‐resistant prostate (CRPC) is associated with significant upregulation of cyclins that positively regulate cyclin‐dependent kinase 2 (CDK2) and concomitant downregulation of CDK4 cyclins. This renders CRPC cells dependent on the high activity of CDK2, and CDK2 inhibitors synergistically sensitize CRPC cells to both ...
Joyeeta Chatterjee   +3 more
wiley   +1 more source

Numerical study of sea ice dynamics and wave-ice interactions in the marginal ice zone

open access: yes, 2021
The Marginal Ice Zone (MIZ) is a highly dynamic region between the open ocean and the inner ice pack. The ice over this region is subjected to waves, introducing new forces but also changing the ice from a cohesive material to a mobile collection of ...
Auclair, Jean-Pierre
core  

An assessment of key model parametric uncertainties in projections of Greenland Ice Sheet behavior [PDF]

open access: yes, 2012
Lack of knowledge about the values of ice sheet model input parameters introduces substantial uncertainty into projections of Greenland Ice Sheet contributions to future sea level rise.
Stone, Emma J.   +17 more
core   +2 more sources

Extracellular vesicle lipidomics liquid biopsy reveals systemic and tumor microenvironment metabolic reprogramming in ovarian cancer

open access: yesMolecular Oncology, EarlyView.
Extracellular vesicle (EV) lipidomic profiling of plasma and ascites from patients with high‐grade serous ovarian cancer and of ovarian cancer cell lines reveals enrichment of triglycerides (TGs), diacylglycerols (DGs), phosphatidylcholine (PCs), sphingomyelins (SMs), reflecting tumor metabolic reprogramming.
Shikha Rani   +9 more
wiley   +1 more source

A role for eIF5A in translational control of stress‐inducible proteins in multiple myeloma cell lines

open access: yesMolecular Oncology, EarlyView.
Loss of eIF5A rewires thapsigargin‐mediated endoplasmic reticulum stress responses in multiple myeloma cells by selective translation of mRNA transcripts, consequently dampening thapsigargin‐induced unfolded protein response (UPR) activation and shifting the balance from induction of apoptosis toward cell survival and proliferation.
Demi Both   +7 more
wiley   +1 more source

Skillful prediction of Barents Sea ice cover [PDF]

open access: yes, 2015
A main concern of present climate change is the Arctic sea ice cover. In wintertime, its observed variability is largely carried by the Barents Sea. Here we propose and evaluate a simple quantitative and prognostic framework based on first principles and
Ingvaldsen, Randi   +5 more
core   +1 more source

Capacity of a set of CMIP6 models to simulate Arctic sea ice drift

open access: yesAnnals of Glaciology
Evaluating CMIP6 model performance helps to improve the prediction of future changes in Arctic sea ice. We analyze the seasonal cycles, distribution, and evolution of sea ice in different regions from 1979 to 2014.
Xinfang Zhang   +2 more
doaj   +1 more source

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