Results 91 to 100 of about 6,547,057 (287)

Mapping the evolution of mitochondrial complex I through structural variation

FEBS Letters, EarlyView.
Respiratory complex I (CI) is crucial for bioenergetic metabolism in many prokaryotes and eukaryotes. It is composed of a conserved set of core subunits and additional accessory subunits that vary depending on the organism. Here, we categorize CI subunits from available structures to map the evolution of CI across eukaryotes. Respiratory complex I (CI)
Dong‐Woo Shin, Tingting Chen, James A. Letts   +2 more
wiley   +1 more source

Spatiotemporal and quantitative analyses of phosphoinositides – fluorescent probe—and mass spectrometry‐based approaches

FEBS Letters, EarlyView.
Fluorescent probes allow dynamic visualization of phosphoinositides in living cells (left), whereas mass spectrometry provides high‐sensitivity, isomer‐resolved quantitation (right). Their synergistic use captures complementary aspects of lipid signaling. This review illustrates how these approaches reveal the spatiotemporal regulation and quantitative
Hiroaki Kajiho, Shin Morioka, Junko Sasaki, Takehiko Sasaki   +3 more
wiley   +1 more source

Protein pyrophosphorylation by inositol pyrophosphates — detection, function, and regulation

FEBS Letters, EarlyView.
Protein pyrophosphorylation is an unusual signaling mechanism that was discovered two decades ago. It can be driven by inositol pyrophosphate messengers and influences various cellular processes. Herein, we summarize the research progress and challenges of this field, covering pathways found to be regulated by this posttranslational modification as ...
Sarah Lampe, Tanmay Kumar Mohanty, Rashna Bhandari, Dorothea Fiedler   +3 more
wiley   +1 more source

MAGRes-UNet: Improved Medical Image Segmentation Through a Deep Learning Paradigm of Multi-Attention Gated Residual U-Net

IEEE Access
Precise segmentation is vital for successful diagnosis and treatment planning. Medical image segmentation has demonstrated remarkable advances with the introduction of deep convolutional neural networks, particularly encoder-decoder networks such as U ...
Tahir Hussain, Hayaru Shouno
semanticscholar   +1 more source

Function‐driven design of a surrogate interleukin‐2 receptor ligand

FEBS Letters, EarlyView.
Interleukin (IL)‐2 signaling can be achieved and precisely fine‐tuned through the affinity, distance, and orientation of the heterodimeric receptors with their ligands. We designed a biased IL‐2 surrogate ligand that selectively promotes effector T and natural killer cell activation and differentiation. Interleukin (IL) receptors play a pivotal role in
Ziwei Tang, Zelin Cheng, Teng Li, Fulian Wang, Liangminghui Zhang, Xiuxiu He, Lili Liu, Wei Wang, Aibin Liang, Guang Yang   +9 more
wiley   +1 more source

LU-NET: An Improved U-Net for Ventricular Segmentation

IEEE Access, 2019
In order to solve the problem of low accuracy of the U-Net in cardiac ventricular segmentation, we propose an improved U-net named LU-Net by the following three methods.
Jun Zhang, Jiazhuo Du, Hongpu Liu, Xiangdan Hou, Yihao Zhao, Mengyuan Ding   +5 more
doaj   +1 more source

The newfound relationship between extrachromosomal DNAs and excised signal circles

FEBS Letters, EarlyView.
Extrachromosomal DNAs (ecDNAs) contribute to the progression of many human cancers. In addition, circular DNA by‐products of V(D)J recombination, excised signal circles (ESCs), have roles in cancer progression but have largely been overlooked. In this Review, we explore the roles of ecDNAs and ESCs in cancer development, and highlight why these ...
Dylan Casey, Zeqian Gao, Joan Boyes
wiley   +1 more source

A deep learning aided bone marrow segmentation of quantitative fat MRI for myelofibrosis patients

Frontiers in Oncology
PurposeTo automate bone marrow segmentation within pelvic bones in quantitative fat MRI of myelofibrosis (MF) patients using deep-learning (DL) U-Net models.MethodsAutomated segmentation of bone marrow (BM) was evaluated for four U-Net models: 2D U-Net ...
Humera Tariq, Lubomir Hadjiiski, Dariya Malyarenko, Moshe Talpaz, Kristen Pettit, Gary D. Luker, Brian D. Ross, Thomas L. Chenevert   +7 more
doaj   +1 more source

U-Net Ensemble for Enhanced Semantic Segmentation in Remote Sensing Imagery

Remote Sensing
Semantic segmentation of remote sensing imagery stands as a fundamental task within the domains of both remote sensing and computer vision. Its objective is to generate a comprehensive pixel-wise segmentation map of an image, assigning a specific label ...
I. Dimitrovski, Vlatko Spasev, S. Loskovska, Ivan Kitanovski   +3 more
semanticscholar   +1 more source

MDU-Net: Multi-scale Densely Connected U-Net for biomedical image segmentation

, 2018
Radiologist is "doctor's doctor", biomedical image segmentation plays a central role in quantitative analysis, clinical diagnosis, and medical intervention.
Jin, Yuzhen, Xu, Jilan, Xu, Xiaowei, Zhang, Jiawei, Zhang, Yanchun   +4 more
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