Results 181 to 190 of about 7,298,112 (344)

Clinical Validation of α-Synuclein in Salivary Extracellular Vesicles as a Biomarker for Parkinson's Disease: A Longitudinal Study. [PDF]

open access: yesEur J Neurol
Gurgone A   +9 more
europepmc   +1 more source

Tumour–host interactions in Drosophila: mechanisms in the tumour micro‐ and macroenvironment

open access: yesMolecular Oncology, EarlyView.
This review examines how tumour–host crosstalk takes place at multiple levels of biological organisation, from local cell competition and immune crosstalk to organism‐wide metabolic and physiological collapse. Here, we integrate findings from Drosophila melanogaster studies that reveal conserved mechanisms through which tumours hijack host systems to ...
José Teles‐Reis, Tor Erik Rusten
wiley   +1 more source

Cotargeting TREM2 and IL2 pathways triggers multipronged anticancer immunity

open access: yesMolecular Oncology, EarlyView.
Von Locquenghien et al. report that MiTE‐144, a triggering receptor expressed on myeloid cells 2 (TREM2) blocking antibody fused to interleukin‐2 (IL2) variant with tumour microenvironment restricted activation, demonstrates superior anticancer efficiency in a preclinical setting.
Isaure Vanmeerbeek   +2 more
wiley   +1 more source

REV-ERB-alpha and -beta coordinately regulate astrocyte reactivity and proteostatic function. [PDF]

open access: yesProc Natl Acad Sci U S A
Nadarajah CJ   +13 more
europepmc   +1 more source

A measurement of ΔΓs

open access: yes
Using a dataset corresponding to 9 fb(-1) of integrated luminosity collected with the LHCb detector between 2011 and 2018 in proton-proton collisions, the decay-time distributions of the decay modes B-s(0) -> J/psi eta' and B-s(0) -> J/psi pi(+) pi(-) are studied.
Aaij, R.   +5 more
openaire   +1 more source

RaMBat: Accurate identification of medulloblastoma subtypes from diverse data sources with severe batch effects

open access: yesMolecular Oncology, EarlyView.
To integrate multiple transcriptomics data with severe batch effects for identifying MB subtypes, we developed a novel and accurate computational method named RaMBat, which leveraged subtype‐specific gene expression ranking information instead of absolute gene expression levels to address batch effects of diverse data sources.
Mengtao Sun, Jieqiong Wang, Shibiao Wan
wiley   +1 more source

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