Results 151 to 160 of about 2,694,366 (360)

Benchmark of structured machine learning methods for microbial identification from mass-spectrometry data

open access: yes, 2015
Microbial identification is a central issue in microbiology, in particular in the fields of infectious diseases diagnosis and industrial quality control.
Mahé, Pierre   +3 more
core   +1 more source

Redox regulation meets metabolism: targeting PRDX2 to prevent hepatocellular carcinoma

open access: yesMolecular Oncology, EarlyView.
PRDX2 acts as a central redox hub linking metabolic dysfunction‐associated steatohepatitis (MASH) to hepatocellular carcinoma (HCC). In normal hepatocytes, PRDX2 maintains redox balance and metabolic homeostasis under oxidative stress. In contrast, during malignant transformation, PRDX2 promotes oncogenic signaling, stemness, and tumor initiation ...
Naroa Goikoetxea‐Usandizaga   +2 more
wiley   +1 more source

Species, Host Range, And Identification Key Of Whiteflies Of Bogor And Surrounding Area [PDF]

open access: yes, 2018
Species identification, host range, and identification key of whiteflies of Bogor and surrounding area. Whitefly (Hemiptera: Aleyrodidae) is a group of insects that are small, white, soft-bodied, and easily found on various agricultural crops.
Basri, M. (Muhammad)   +3 more
core  

Dammarenediol II enhances etoposide‐induced apoptosis by targeting O‐GlcNAc transferase and Akt/GSK3β/mTOR signaling in liver cancer

open access: yesMolecular Oncology, EarlyView.
Etoposide induces DNA damage, activating p53‐dependent apoptosis via caspase‐3/7, which cleaves PARP1. Dammarenediol II enhances this apoptotic pathway by suppressing O‐GlcNAc transferase activity, further decreasing O‐GlcNAcylation. The reduction in O‐GlcNAc levels boosts p53‐driven apoptosis and influences the Akt/GSK3β/mTOR signaling pathway ...
Jaehoon Lee   +8 more
wiley   +1 more source

Nine Human Sparganosis Cases in Thailand with Molecular Identification of Causative Parasite Species [PDF]

open access: bronze, 2014
Adhiratha Boonyasiri   +6 more
openalex   +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

Colorectal cancer‐derived FGF19 is a metabolically active serum biomarker that exerts enteroendocrine effects on mouse liver

open access: yesMolecular Oncology, EarlyView.
Meta‐transcriptome analysis identified FGF19 as a peptide enteroendocrine hormone associated with colorectal cancer prognosis. In vivo xenograft models showed release of FGF19 into the blood at levels that correlated with tumor volumes. Tumoral‐FGF19 altered murine liver metabolism through FGFR4, thereby reducing bile acid synthesis and increasing ...
Jordan M. Beardsley   +5 more
wiley   +1 more source

Identification of Rodent Species That Infest Poultry Houses in Mafikeng, North West Province, South Africa [PDF]

open access: gold, 2019
Tsepo Ramatla   +5 more
openalex   +1 more source

Genetic attenuation of ALDH1A1 increases metastatic potential and aggressiveness in colorectal cancer

open access: yesMolecular Oncology, EarlyView.
Aldehyde dehydrogenase 1A1 (ALDH1A1) is a cancer stem cell marker in several malignancies. We established a novel epithelial cell line from rectal adenocarcinoma with unique overexpression of this enzyme. Genetic attenuation of ALDH1A1 led to increased invasive capacity and metastatic potential, the inhibition of proliferation activity, and ultimately ...
Martina Poturnajova   +25 more
wiley   +1 more source

AquaVision: AI-Powered Marine Species Identification

open access: yesInformation
This study addresses the challenge of accurately identifying fish species by using machine learning and image classification techniques. The primary aim is to develop an innovative algorithm that can dynamically identify the most common (within Maltese coastal waters) invasive Mediterranean fish species based on available images.
Benjamin Mifsud Scicluna   +2 more
openaire   +3 more sources

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