Results 101 to 110 of about 6,927 (264)

Spatial biology in cancer epigenetics

Molecular Oncology, EarlyView.
Spatial epigenomics combines molecular profiling with tissue architecture to reveal how gene regulation is organized within intact tissues. In cancer, these technologies uncover the mechanisms driving tumor heterogeneity and microenvironmental interactions, opening new opportunities for biomarker discovery and precision medicine.
Eva Crespo‐García, Manel Esteller
wiley   +1 more source

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

Molecular 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, Tuan Khang Huynh, Adway Kadam, Zahra Kardan, Yue Yan, Amina Jamal Laham, Sampath Kumar Loganathan   +6 more
wiley   +1 more source

ADP‐ribosylation: An emerging regulator of the epigenome

Molecular Oncology, EarlyView.
ADP‐ribosylation has emerged as a dynamic epigenetic signaling mechanism that modifies histones and chromatin‐associated proteins. Through coordinated PARylation and MARylation, it integrates with other histone modifications to regulate chromatin structure, transcription factor activity, and gene expression, influencing genome function and disease ...
Cristel V. Camacho, Chenqian Liu, W. Lee Kraus   +2 more
wiley   +1 more source

Toward bridging the gap between machine intelligence and machine wisdom: Dilemmas and conjectures

The Innovation
In recent years, artificial intelligence (AI) has achieved tremendous development, akin to a significant leap, similar to progressing from 1 to 100. However, a significant gap still exists between current machine intelligence and human wisdom: machine intelligence is constrained to post hoc inference based on existing data, lacking the ability for ...
Wang, Rui, Liu, Shixuan, Fan, Changjun, Li, Guozheng, Huang, Jincai, Liu, Zhong, Zhou, Gang   +6 more
openaire   +2 more sources

A machine learning approach to fill gaps in dendrometer data

Trees
Abstract Key message The machine learning algorithm extreme gradient boosting can be employed to address the issue of long data gaps in individual trees, without the need for additional tree-growth data or climatic variables.
Eileen Kuhl, Emanuele Ziaco, Jan Esper, Oliver Konter, Edurne Martinez del Castillo   +4 more
openaire   +4 more sources

BEHAVIOR OF SOME DISTINCT METALLIC MATERIALS DURING THE ELECTROCHEMICAL MACHINING WITH FORCED HYDRODYNAMIC DEPASSIVATION

Nonconventional Technologies Review, 2016
The electrochemical machining with forced hydrodynamic depassivation allows the material removal from workpiece by electrochemical erosion. The products resulted as a consequence of the electrochemical reactions developed between the workpiece material ...
Geo Caracas, Laurentiu Slatineanu, Oana Dodun, Margareta Coteata, Irina Besliu   +4 more
doaj  

Unraveling the epigenetic code in cancer cell–tumor microenvironment crosstalk

Molecular Oncology, EarlyView.
Epigenetic regulation is a key driver of cancer development and progression. Diverse epigenetic alterations in cancer cells and components of the tumor microenvironment (TME) orchestrate their communication through multiple mechanisms. We discuss how the epigenetic code coordinates bidirectional cancer cell–TME crosstalk to promote cancer progression ...
Ji Hoon Park, Mi‐Young Kim
wiley   +1 more source

Arginine methylation as a regulatory ratchet in cancer: From substrate selection to malignant‐state stabilization

Molecular Oncology, EarlyView.
Arginine methylation can be viewed as a persistence‐prone post‐translational modification regulated by a network of PRMTs. Competitive and compensatory interactions among PRMTs can redistribute methylation across substrate pools shaped by sequence, structural, spatial, and environmental layers, reinforcing RNA‐processing, chromatin, and signaling ...
So Hyun Kwon, Ji Min Lee
wiley   +1 more source

Single‐molecule DNA flow‐stretch assays for high‐throughput DNA–protein interaction studies

FEBS Open Bio, EarlyView.
We describe an optimised single‐molecule DNA flow‐stretch assay that visualises DNA–protein interactions in real time. Linear DNA fragments are tethered to a surface and stretched by buffer flow for fluorescence imaging. Using λ and φX174 DNA, this protocol enhances reproducibility and accessibility, providing a versatile approach for studying diverse ...
Ayush Kumar Ganguli, Mohammad Nour Alsamsam, Ugnė Bagdonaitė, Van Truc Vu, Chun‐Jen Huang, Polina Kuzhir, Mindaugas Zaremba, Aurimas Kopūstas, Marijonas Tutkus   +8 more
wiley   +1 more source

Identification of Soybean Planting Gaps Using Machine Learning

Smart Agricultural Technology
The identification of planting gaps is essential for optimizing crop management in precision agriculture. Traditional methods, such as manual scouting, are limited in scale and precision. This study evaluates the performance of three machine learning algorithms—Decision Trees, Support Vector Machines (SVM), and Multilayer Perceptron (MLP) Neural ...
Flávia Luize Pereira de Souza, Maurício Acconcia Dias, Tri Deri Setiyono, Sérgio Campos, Luciano Shozo Shiratsuchi, Haiying Tao   +5 more
openaire   +2 more sources