Results 101 to 110 of about 20,035 (219)

Aging of Hutchinson-Gilford progeria syndrome fibroblasts is characterised by hyperproliferation and increased apoptosis [PDF]

, 2004
Hutchinson-Gilford progeria syndrome is a rare genetic disorder that mimics certain aspects of aging prematurely. Recent work has revealed that mutations in the lamin A gene are a cause of the disease.
Bridger, JM, Kill, IR
core   +1 more source

Results and Exploratory Biomarker Analyses of a Phase II Study CHANGEABLE: Combination of PD‐1 Inhibitor and Niraparib in GErm‐Line‐mutAted Metastatic Breast Cancer

MedComm, Volume 7, Issue 4, April 2026.
This phase II trial evaluated the efficacy and safety of niraparib combined with HX008 in metastatic breast cancer (MBC) patients with germline DNA damage response (DDR) gene mutations. This chemotherapy‐free regimen demonstrates promising efficacy and a tolerable safety profile in MBC patients with germline DDR mutations, providing a novel therapeutic
Jian Zhang, Yiqun Du, Yanchun Meng, Yizi Jin, Mingxi Lin, Xuchen Shao, Xiaojun Liu, Yuxin Mu, Yun Liu, Zhen Hu   +9 more
wiley   +1 more source

WRN loss accelerates abnormal adipocyte metabolism in Werner syndrome

Cell & Bioscience
Background Metabolic dysfunction is one of the main symptoms of Werner syndrome (WS); however, the underlying mechanisms remain unclear. Here, we report that loss of WRN accelerates adipogenesis at an early stage both in vitro (stem cells) and in vivo ...
Yuyao Tian, Sofie Lautrup, Patrick Wai Nok Law, Ngoc-Duy Dinh, Evandro Fei Fang, Wai-Yee Chan   +5 more
doaj   +1 more source

Harnessing Deep Learning in Searching Wild Relatives of Domestic Animals

Molecular Ecology Resources, Volume 26, Issue 3, April 2026.
ABSTRACT Wild relatives of domestic animals are crucial reservoirs of genetic diversity, yet pervasive hybridization with domestic animals poses significant conservation challenges. Here, we developed a deep learning–based pipeline, consisting of a multi‐layer perceptron for SNP panel selection and a Deep & Cross Network for model training, to discern ...
Zheng‐Fei Cai, Bei Liu, Ting‐Ting Yin, Cheng Ma, Zi‐Teng Han, Li‐Hong Gu, Chao Zhang, Fei Wu, Li‐Sheng Liu, Xian Shi, Xue‐Qi Wang, Ru‐Nian Wu, Lin‐Zhe Xie, Yue Bai, Yun‐Chun Zhang, Shu‐Run Zhang, Li‐Jiao Gu, Ming‐Shan Wang, Guo‐Li Xie, Wang‐Kun Cheng, Jian‐Gao Lu, Yan Luo, Shao‐Bin Li, Hidayat Ashari, Moch Syamsul Arifin Zein, Jian‐Lin Han, Worapong Singchat, Kornsorn Srikulnath, Ya‐Ping Zhang, Min‐Sheng Peng   +29 more
wiley   +1 more source

Highly conserved type 1 pili promote enterotoxigenic E. coli pathogen-host interactions [PDF]

, 2017
Enterotoxigenic Escherichia coli (ETEC), defined by their elaboration of heat-labile (LT) and/or heat-stable (ST) enterotoxins, are a common cause of diarrheal illness in developing countries.
Begum, Yasmin Ara, Ciorba, Matthew A, Fleckenstein, James M, Hultgren, Scott J, Kuhlman, F. Matthew, Qadri, Firdausi, Rashu, Rasheduzzaman, Sheikh, Alaullah   +7 more
core   +3 more sources

Evidence‐ and consensus‐based guideline on lichen sclerosus

JDDG: Journal der Deutschen Dermatologischen Gesellschaft, Volume 24, Issue 4, Page 566-584, April 2026.
Summary The German‐language, consensus‐ and evidence‐based S3 guideline on lichen sclerosus (LS) was developed based on the European “EuroGuiDerm Guideline on lichen sclerosus” under the leadership of the German Dermatological Society (DDG) and the German Society for Gynecology and Obstetrics (DGGG).
Gudula Kirtschig, Linn Woelber, Andreas Günthert, Karl Becker, Alexandra Ciresa‐König, Bettina Fischer, Susanne Fricke‐Otto, Claudia Günther, Christine Hirchenhain, Narayani Helga Köllmann, Alexander Kreuter, Bartosz Malisiewicz, Felix Neis, Dan mon O'Dey, Hagen Ott, Martin Promm, Regina Renner, Anne‐Rose Schardt, Ines Schweizer, Raimund Stein, Jan Ter‐Nedden, Gerda Trutnovsky, Agnes Wand, Gerhard Weyandt, Ricardo N. Werner, Maria Kinberger   +25 more
wiley   +1 more source

Online Filter Clustering and Pruning for Efficient Convnets

, 2019
Pruning filters is an effective method for accelerating deep neural networks (DNNs), but most existing approaches prune filters on a pre-trained network directly which limits in acceleration.
Hong, Richang, Li, Houqiang, Zhou, Wengang, Zhou, Zhengguang   +3 more
core   +1 more source

Molecular adaptation of telomere associated genes in mammals [PDF]

, 2013
Background: Placental mammals display a huge range of life history traits, including size, longevity, metabolic rate and germ line generation time. Although a number of general trends have been proposed between these traits, there are exceptions that ...
Donoghue, MTA, Loughran, NB, Mc Cartney, AM, Morgan, CC, O'Connell, MJ, Spillane, C, Teeling, EC   +6 more
core   +3 more sources

Evidenz‐ und konsensbasierte (S3) Leitlinie: Lichen sclerosus

JDDG: Journal der Deutschen Dermatologischen Gesellschaft, Volume 24, Issue 4, Page 566-586, April 2026.
Zusammenfassung Die deutschsprachige, konsens‐ und evidenzbasierte S3‐Leitlinie zum Lichen sclerosus (LS) wurde unter Federführung der Deutschen Dermatologischen Gesellschaft e.V. (DDG) und der Deutschen Gesellschaft für Gynäkologie und Geburtshilfe e.V.
Gudula Kirtschig, Linn Woelber, Andreas Günthert, Karl Becker, Alexandra Ciresa‐König, Bettina Fischer, Susanne Fricke‐Otto, Claudia Günther, Christine Hirchenhain, Narayani Helga Köllmann, Alexander Kreuter, Bartosz Malisiewicz, Felix Neis, Dan mon O'Dey, Hagen Ott, Martin Promm, Regina Renner, Anne‐Rose Schardt, Ines Schweizer, Raimund Stein, Jan Ter‐Nedden, Gerda Trutnovsky, Agnes Wand, Gerhard Weyandt, Ricardo N. Werner, Maria Kinberger   +25 more
wiley   +1 more source

Improving PARP inhibitor efficacy in bladder cancer without genetic BRCAness by combination with PLX51107

Molecular Oncology, Volume 20, Issue 3, Page 779-803, March 2026.
Clinical trials on PARP inhibitors in urothelial carcinoma (UC) showed limited efficacy and a lack of predictive biomarkers. We propose SLFN5, SLFN11, and OAS1 as UC‐specific response predictors. We suggest Talazoparib as the better PARP inhibitor for UC than Olaparib.
Jutta Schmitz, Anna L. Bartkowiak, Michael Rose, Nora Kolks, Patrick Petzsch, Vandana Solanki, Anne Stoffel, Bianca Faßbender, Leandra Lepping, Julka Volkamer, Karl Köhrer, Marc Seifert, Tokameh Mahmoudi, Tahlita C. M. Zuiverloon, Günter Niegisch, Michèle J. Hoffmann   +15 more
wiley   +1 more source