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Results: 189
Neuronatin deletion causes postnatal growth restriction and adult obesity in 129S2/Sv mice.
Steven J Millership, Simon J Tunster, Mathew Van de Pette, Agharul I Choudhury, Elaine E Irvine, Mark Christian, Amanda G Fisher, Rosalind M John, James Scott, Dominic J Withers
Nov 19, 2018
OBJECTIVE: Imprinted genes are crucial for the growth and development of fetal and juvenile mammals. Altered imprinted gene dosage causes a variety of human disorders, with growth and development during these crucial early...
Genotyping structural variants in pangenome graphs using the vg toolkit
Glenn Hickey, David Heller, Jean Monlong, Jonas A. Sibbesen, Jouni Sirén, Jordan Eizenga, Eric T. Dawson, Erik Garrison, Adam M. Novak, Benedict Paten
Jun 06, 2020
Abstract: Structural variants (SVs) remain challenging to represent and study relative to point mutations despite their demonstrated importance. We show that variation graphs, as implemented in the vg toolkit, provide an...
Integrating Unsupervised and Supervised ML Models for Analysis of Synthetic Data From VAE, GAN, and Clustering of Variables
Lakshmi Prayaga, Krishna Devulapalli, Chandra Prayaga, Aaron Wade, Gopi Reddy, Sri Pola
Jan 01, 2024
Clustering of variables is a specialized approach for dimensionality reduction. This strategy is evaluated for data reduction with a Kaggle diabetes dataset. Since the original dataset is small, Generative Adversarial Networks...
Published by: IGI Global Scientific Publishing
Genotyping structural variants in pangenome graphs using the vg toolkit.
Glenn Hickey, David Heller, Jean Monlong, Jonas A Sibbesen, Jouni Sirén, Jordan Eizenga, Eric T Dawson, Erik Garrison, Adam M Novak, Benedict Paten
Feb 11, 2021
Structural variants (SVs) remain challenging to represent and study relative to point mutations despite their demonstrated importance. We show that variation graphs, as implemented in the vg toolkit, provide an effective means...
Genotyping structural variants in pangenome graphs using the vg toolkit.
Glenn Hickey, David Heller, Jean Monlong, Jonas A Sibbesen, Jouni Sirén, Jordan Eizenga, Eric T Dawson, Erik Garrison, Adam M Novak, Benedict Paten
Mar 15, 2020
Structural variants (SVs) remain challenging to represent and study relative to point mutations despite their demonstrated importance. We show that variation graphs, as implemented in the vg toolkit, provide an effective means...
Published by: Genome biology
Inferring structural variant cancer cell fraction.
Marek Cmero, Ke Yuan, Cheng Soon Ong, Jan Schröder, Niall M Corcoran, Tony Papenfuss, Christopher M Hovens, Florian Markowetz, Geoff Macintyre
Mar 10, 2020
We present SVclone, a computational method for inferring the cancer cell fraction of structural variant (SV) breakpoints from whole-genome sequencing data. SVclone accurately determines the variant allele frequencies of both SV...
Published by: Nature Communications
Inferring structural variant cancer cell fraction
Marek Cmero, Ke Yuan, Cheng Soon Ong, Jan Schröder, Niall M. Corcoran, Tony Papenfuss, Christopher M. Hovens, Florian Markowetz, Geoff Macintyre, David J. Adams, Pavana Anur, Rameen Beroukhim, Paul C. Boutros, David D. L. Bowtell, Peter J. Campbell, Shaolong Cao, Elizabeth L. Christie, Yupeng Cun, Kevin J. Dawson, Jonas Demeulemeester, Stefan C. Dentro, Amit G. Deshwar, Nilgun Donmez, Ruben M. Drews, Roland Eils, Yu Fan, Matthew W. Fittall, Dale W. Garsed, Moritz Gerstung, Gad Getz, Santiago Gonzalez, Gavin Ha, Kerstin Haase, Marcin Imielinski, Lara Jerman, Yuan Ji, Clemency Jolly, Kortine Kleinheinz, Juhee Lee, Henry Lee-Six, Ignaty Leshchiner, Dimitri Livitz, Salem Malikic, Iñigo Martincorena, Thomas J. Mitchell, Quaid D. Morris, Ville Mustonen, Layla Oesper, Martin Peifer, Myron Peto, Benjamin J. Raphael, Daniel Rosebrock, Yulia Rubanova, S. Cenk Sahinalp, Adriana Salcedo, Matthias Schlesner, Steven E. Schumacher, Subhajit Sengupta, Ruian Shi, Seung Jun Shin, Paul T. Spellman, Oliver Spiro, Lincoln D. Stein, Maxime Tarabichi, Peter Van Loo, Shankar Vembu, Ignacio Vázquez-García, Wenyi Wang, David C. Wedge, David A. Wheeler, Jeffrey A. Wintersinger, Tsun-Po Yang, Xiaotong Yao, Kaixian Yu, Hongtu Zhu
Feb 04, 2021
Abstract: We present SVclone, a computational method for inferring the cancer cell fraction of structural variant (SV) breakpoints from whole-genome sequencing data. SVclone accurately determines the variant allele frequencies...
The first magnetic resonance imaging-detected case of bilateral seminal vesicle duplication
Given the increasing use of prostate magnetic resonance imaging (MRI) for imaging suspected cancer and male infertility, understanding imaging features of congenital anomalies of the seminal vesicles (SVs) is of clinical...
Validation of a Non-invasive Inverse Problem-Solving Method for Stroke Volume.
Vasiliki Bikia, Carmel M McEniery, Emma Marie Roussel, Georgios Rovas, Stamatia Pagoulatou, Ian B Wilkinson, Nikolaos Stergiopulos
Feb 09, 2022
Stroke volume (SV) is a major biomarker of cardiac function, reflecting ventricular-vascular coupling. Despite this, hemodynamic monitoring and management seldomly includes assessments of SV and remains predominantly guided by...
Inferring structural variant cancer cell fraction.
Marek Cmero, Ke Yuan, Cheng Soon Ong, Jan Schröder, PCAWG Evolution and Heterogeneity Working Group, Niall M Corcoran, Tony Papenfuss, Christopher M Hovens, Florian Markowetz, Geoff Macintyre, PCAWG Consortium
Dec 18, 2019
We present SVclone, a computational method for inferring the cancer cell fraction of structural variant (SV) breakpoints from whole-genome sequencing data. SVclone accurately determines the variant allele frequencies of both SV...
Microglia and the aging brain
The single largest risk factor for etiology of neurodegenerative diseases like Alzheimer's disease is increased age. Therefore, understanding the changes that occur as a result of aging is central to any possible prevention...
Rearrangement processes and structural variations show evidence of selection in oesophageal adenocarcinomas.
Alvin Wei Tian Ng, Gianmarco Contino, Sarah Killcoyne, Ginny Devonshire, Ray Hsu, Sujath Abbas, Jing Su, Aisling M Redmond, Jamie MJ Weaver, Matthew Eldridge, Simon Tavaré, Oesophageal Cancer Clinical and Molecular Stratification (OCCAMS) Consortium, Paul AW Edwards, Rebecca Fitzgerald
Apr 08, 2022
Oesophageal adenocarcinoma (OAC) provides an ideal case study to characterize large-scale rearrangements. Using whole genome short-read sequencing of 383 cases, for which 214 had matched whole transcriptomes, we observed...
Protein phase separation hotspots at the presynapse.
Janin Lautenschläger
Mar 13, 2022
Fundamental discoveries have shaped our molecular understanding of presynaptic processes, such as neurotransmitter release, active zone organization and mechanisms of synaptic vesicle (SV) recycling. However, certain regulatory...
Rearrangement processes and structural variations show evidence of selection in oesophageal adenocarcinomas.
Alvin Wei Tian Ng, Gianmarco Contino, Sarah Killcoyne, Ginny Devonshire, Ray Hsu, Sujath Abbas, Jing Su, Aisling M Redmond, Jamie MJ Weaver, Matthew D Eldridge, Simon Tavaré, Oesophageal Cancer Clinical and Molecular Stratification (OCCAMS) Consortium, Paul AW Edwards, Rebecca C Fitzgerald
May 09, 2022
Oesophageal adenocarcinoma (OAC) provides an ideal case study to characterize large-scale rearrangements. Using whole genome short-read sequencing of 383 cases, for which 214 had matched whole transcriptomes, we observed...
Altered Processing of β-Amyloid in SH-SY5Y Cells Induced by Model Senescent Microglia
The single greatest risk factor for neurodegenerative diseases is aging. Aging of cells such as microglia in the nervous system has an impact not only on the ability of those cells to function but also on cells they interact...
Microglia and the aging brain
The single largest risk factor for etiology of neurodegenerative diseases like Alzheimer's disease is increased age. Therefore, understanding the changes that occur as a result of aging is central to any possible prevention...
Altered Processing of β-Amyloid in SH-SY5Y Cells Induced by Model Senescent Microglia
The single greatest risk factor for neurodegenerative diseases is aging. Aging of cells such as microglia in the nervous system has an impact not only on the ability of those cells to function but also on cells they interact...
Protein phase separation hotspots at the presynapse
Janin Lautenschläger
Mar 04, 2022
Fundamental discoveries have shaped our molecular understanding of presynaptic processes, such as neurotransmitter release, active zone organization and mechanisms of synaptic vesicle (SV) recycling. However, certain regulatory...
Levels of α- and β-synuclein regulate cellular susceptibility to toxicity from α-synuclein oligomers
α-Synuclein (α-syn) is associated with a range of diseases, including Parkinson disease. In disease, α-syn is known to aggregate and has the potential to be neurotoxic. The association between copper and α-syn results inthe...
Applications of Mechatronics in Textiles and Clothing Industries
This article focuses on the transformative potential of mechatronics in up-to-date textiles and clothing industries, with a special focus on its implications for automation, efficiency in production, and product quality....
Published by: IGI Global Scientific Publishing
Levels of α- and β-synuclein regulate cellular susceptibility to toxicity from α-synuclein oligomers
α-Synuclein (α-syn) is associated with a range of diseases, including Parkinson disease. In disease, α-syn is known to aggregate and has the potential to be neurotoxic. The association between copper and α-syn results inthe...
Interactive nanocluster compaction of the ELKS scaffold and Cacophony Ca2+ channels drives sustained active zone potentiation.
Tina Ghelani, Marc Escher, Ulrich Thomas, Klara Esch, Janine Lützkendorf, Harald Depner, Marta Maglione, Pierre Parutto, Scott Gratz, Tanja Matkovic-Rachid, Stefanie Ryglewski, Alexander M Walter, David Holcman, Kate O'Connor Giles, Martin Heine, Stephan J Sigrist
Mar 20, 2023
At presynaptic active zones (AZs), conserved scaffold protein architectures control synaptic vesicle (SV) release by defining the nanoscale distribution and density of voltage-gated Ca2+ channels (VGCCs). While AZs can...
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