Results 61 to 70 of about 1,383,033 (265)

Interplay between circadian and other transcription factors—Implications for cycling transcriptome reprogramming

FEBS Letters, EarlyView.
This perspective highlights emerging insights into how the circadian transcription factor CLOCK:BMAL1 regulates chromatin architecture, cooperates with other transcription factors, and coordinates enhancer dynamics. We propose an updated framework for how circadian transcription factors operate within dynamic and multifactorial chromatin landscapes ...
Xinyu Y. Nie, Jerome S. Menet
wiley   +1 more source

Vitamin D supplementation trials: Navigating the maze of unpredictable results

Perspectives in Clinical Research
Vitamin D supplementation studies in various pleiotropic outcomes often yield conflicting results. This complexity arises from various factors, including individual differences (baseline Vitamin D levels, genetics, ethnicity, age, and gender).
Shruti Singh, Rajesh Kumar Meena, Vikas Maharshi, Nishi Sinha, Neha Agarwal, Shuvasree Payra, Divya Harsha   +6 more
doaj   +1 more source

CU-Net: A New Improved Multi-Input Color U-Net Model for Skin Lesion Semantic Segmentation [PDF]

, 2022
Rania Ramadan, Saleh Aly
openalex   +1 more source

Disordered but rhythmic—the role of intrinsic protein disorder in eukaryotic circadian timing

FEBS Letters, EarlyView.
Unstructured domains known as intrinsically disordered regions (IDRs) are present in nearly every part of the eukaryotic core circadian oscillator. IDRs enable many diverse inter‐ and intramolecular interactions that support clock function. IDR conformations are highly tunable by post‐translational modifications and environmental conditions, which ...
Emery T. Usher, Jacqueline F. Pelham
wiley   +1 more source

Three‐dimensional body composition parameters using automatic volumetric segmentation allow accurate prediction of colorectal cancer outcomes

Journal of Cachexia, Sarcopenia and Muscle
Background Parameters obtained from two‐dimensional (2D) cross‐sectional images have been used to determine body composition. However, data from three‐dimensional (3D) volumetric body images reflect real body composition more accurately and may be better
Aiya Bimurzayeva, Min Jung Kim, Jong‐Sung Ahn, Ga Yoon Ku, Dokyoon Moon, Jinsun Choi, Hyo Jun Kim, Han‐Ki Lim, Rumi Shin, Ji Won Park, Seung‐Bum Ryoo, Kyu Joo Park, Han‐Jae Chung, Jong‐Min Kim, Sang Joon Park, Seung‐Yong Jeong   +15 more
doaj   +1 more source

Investigation of deep learning approaches for automated damage diagnostics in fiber metal laminates using Detectron2 and SAM

Frontiers in Artificial Intelligence
The impact damage is one of the major causes of structural failures in Fiber Metal Laminate (FML) plates, which are widely used in the aerospace and automotive industries due to their superior mechanical properties.
Sanjeev Kumar, Stefan Bosse, Chirag Shah
doaj   +1 more source

A Lightweight Convolutional Neural Network Model for Liver Segmentation in Medical Diagnosis [PDF]

, 2022
Mubashir Ahmad, Syed Furqan Qadri, Salman Qadri, Iftikhar Ahmed Saeed, Syeda Shamaila Zareen, Zafar Iqbal, Amerah Alabrah, Hayat Mansoor Alaghbari, Sk. Md. Mizanur Rahman   +8 more
openalex   +1 more source

Patient‐specific pharmacogenomics demonstrates xCT as predictive therapeutic target in colon cancer with possible implications in tumor connectivity

Molecular Oncology, EarlyView.
This study integrates transcriptomic profiling of matched tumor and healthy tissues from 32 colorectal cancer patients with functional validation in patient‐derived organoids, revealing dysregulated metabolic programs driven by overexpressed xCT (SLC7A11) and SLC3A2, identifying an oncogenic cystine/glutamate transporter signature linked to ...
Marco Strecker, Keren Zohar, Martin Böttcher, Thomas Wartmann, Henry Freudenstein, Maximilian Doelling, Mihailo Andric, Wenjie Shi, Or Kakhlon, Katrin Hippe, Beatrix Jahnke, Dimitrios Mougiakakos, Franziska Baenke, Daniel Stange, Roland S. Croner, Michal Linial, Ulf D. Kahlert   +16 more
wiley   +1 more source

Subcellular object quantification with Squassh3C and SquasshAnalyst

BioTechniques, 2015
Quantitative image analysis plays an important role in contemporary biomedical research. Squassh is a method for automatic detection, segmentation, and quantification of subcellular structures and analysis of their colocalization.
Aurélien Rizk, Maysam Mansouri, Kurt Ballmer-Hofer, Philipp Berger   +3 more
doaj   +1 more source

PA‐ResSeg: A phase attention residual network for liver tumor segmentation from multiphase CT images [PDF]

, 2021
Yingying Xu, Ming Cai, Lanfen Lin, Yue Zhang, Hongjie Hu, Zhiyi Peng, Qiaowei Zhang, Qingqing Chen, Xiongwei Mao, Yutaro Iwamoto, Xian‐Hua Han, Yen‐Wei Chen, Ruofeng Tong   +12 more
openalex   +1 more source