by Zhengyang Guo, Shimin Wang, Yang Wang, Zi Wang, Guangshuo Ou
Chemical mutagenesis-driven forward genetic screens are pivotal in unveiling gene functions, yet identifying causal mutations behind phenotypes remains laborious, hindering their high-throughput application. Here, we reveal a non-uniform mutation rate caused by Ethyl Methane Sulfonate (EMS) mutagenesis in the C. elegans genome, indicating that mutation frequency is influenced by proximate sequence context and chromatin status. Читать дальше...
by J. Ian Hertzler, Jiajing Teng, Annabelle R. Bernard, Michelle C. Stone, Hannah L. Kline, Gibarni Mahata, Nitish Kumar, Melissa M. Rolls
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by Anubha Dey, Suresh Mudunuri, Manjari Kiran
Synthetic lethality (SL) and synthetic viability (SV) are commonly studied genetic interactions in the targeted therapy approach in cancer. In SL, inhibiting either of the genes does not affect the cancer cell survival, but inhibiting both leads to a lethal phenotype. In SV, inhibiting the vulnerable gene makes the cancer cell sick; inhibiting the partner gene rescues and promotes cell viability. Many low and high-throughput experimental approaches have been employed to identify SLs and SVs... Читать дальше...
by Easwaran Ramamurthy, Snigdha Agarwal, Noelle Toong, Heather Sestili, Irene M. Kaplow, Ziheng Chen, BaDoi Phan, Andreas R. Pfenning
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by Efrat Cohen-Davidi, Isana Veksler-Lublinsky
MicroRNAs (miRNAs) are small non-coding RNAs that regulate gene expression post-transcriptionally. In animals, this regulation is achieved via base-pairing with partially complementary sequences on mainly 3’ UTR region of messenger RNAs (mRNAs). Computational approaches that predict miRNA target interactions (MTIs) facilitate the process of narrowing down potential targets for experimental validation. The availability of new datasets of high-throughput... Читать дальше...
by Peiting Shi, Junmin Han, Yinghao Zhang, Guanpu Li, Xionghui Zhou
The identification of cancer driver genes is crucial for early detection, effective therapy, and precision medicine of cancer. Cancer is caused by the dysregulation of several genes at various levels of regulation. However, current techniques only capture a limited amount of regulatory information, which may hinder their efficacy. In this study, we present IMI-driver, a model that integrates multi-omics data into eight biological... Читать дальше...
by Shawn D. Burton, Christina M. Malyshko, Nathaniel N. Urban
Inhibitory circuits in the mammalian olfactory bulb (OB) dynamically reformat olfactory information as it propagates from peripheral receptors to downstream cortex. To gain mechanistic insight into how specific OB interneuron types support this sensory processing, we examine unitary synaptic interactions between excitatory mitral and tufted cells (MTCs), the OB projection neurons, and a conserved population of anaxonic external... Читать дальше...
by Quinn K. Langdon, Jeffrey S. Groh, Stepfanie M. Aguillon, Daniel L. Powell, Theresa Gunn, Cheyenne Payne, John J. Baczenas, Alex Donny, Tristram O. Dodge, Kang Du, Manfred Schartl, Oscar Ríos-Cárdenas, Carla Gutiérrez-Rodríguez, Molly Morris, Molly Schumer
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by Jingjing Li, Laia Jordana, Haytham Mehsen, Xinyue Wang, Vincent Archambault
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by Stathis Megas, Nadav Yayon, Kerstin B. Meyer, Sarah A. Teichmann
Here we propose "molecular connectomics" to link molecular and morphological cell features in three dimensions across scales, using machine learning and artificial intelligence to reveal emergent properties of complex biological systems. This Perspective introduces "molecular connectomics" to link molecular and morphological cell features in three dimensions across scales, using machine learning and artificial intelligence... Читать дальше...
by James Canham, Joe Win, GetGenome Network , Sophien Kamoun
Although genomics has become integral to life science research, inequitable access to genomics technology remains prevalent. GetGenome, a non-profit organization, aims to overcome this by providing equitable access to genomics technology and training.In her acceptance speech, Harris chose to embrace Republican language on the economy—even if she backs a more progressive approach.
Policymakers should help housing-assistance recipients forge a path to upward mobility.
A house to accommodate a growing family and their emotional memories—from the form to the interior.
by David Kilroy, Graham Healy, Simon Caton
In recent years, computational approaches for extracting customer needs from user generated content have been proposed. However, there is a lack of studies that focus on extracting unmet needs for future popular products. Therefore, this study presents a supervised keyphrase classification model which predicts needs that will become popular in real products in the marketplace. To do this, we utilize Trending Customer Needs (TCN)—a monthly dataset... Читать дальше...
by Alberto Milesi, Marianna Liotti, Francesca Locati, Pietro De Carli, Anna Maria Speranza, Chloe Campbell, Peter Fonagy, Vittorio Lingiardi, Laura Parolin
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by Quang Vinh Do, Bui Vu Minh, Quang-Sang Nguyen, Byung-seo Kim
Recent progress studies in light of wireless communication systems mainly centred around two focuses: zero-energy consumption and ultra-reliable and low-latency communication (URLLC). Among various cutting-edge areas, exploiting ambient backscatter communication (Backcom) has recently been devised as one of the foremost solutions for achieving zero energy consumption through the viability of ambient radio frequency. Meanwhile... Читать дальше...
by A. Zahra, S. A. Mardan, Muhammad Bilal Riaz, Rubab Manzoor
We propose a new framework for spherical charged compact objects admitting conformal motion in five-dimensional spacetime. The outer spacetime is considered as Reissner-Nordström to obtain matching conditions. The behavior of model characteristics like stress, pressure, and surface tension for the specific density profile is investigated by using Einstein’s Maxwell field equations in a five-dimensional framework. For the proposed solution... Читать дальше...
by Bixa Ogola, Nontokozo D. Matume, Denis M. Tebit, Lufuno G. Mavhandu-Ramarumo, Pascal Obong Bessong
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by Samar Thiab, Razan I. Nassar, Saif Alislam Alamleh, Abdullah Aboqubo, Abdullah Aljebori
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by Kyra Sohns, Anna Kostenko, Marc Behrendt, Martin Schmelz, Roman Rukwied, Richard Carr
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by Sara J. T. Guilcher, Lauren Cadel, Amanda C. Everall, Susan E. Bronskill, Walter P. Wodchis, Kednapa Thavorn, Kerry Kuluski
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by Xuechun Fan, Guanchi Yan, Jingsi Cao, Yunyun Zhao, Ying Wang, Xiuge Wang, Jia Mi
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by Ofer Arazy, Keren Kaplan-Mintz, Dan Malkinson, Yiftach Nagar
The collective intelligence of crowds could potentially be harnessed to address global challenges, such as biodiversity loss and species’ extinction. For wisdom to emerge from the crowd, certain conditions are required. Importantly, the crowd should be diverse and people’s contributions should be independent of one another. Here we investigate a global citizen-science platform—iNaturalist—on which citizens report on wildlife observations... Читать дальше...