Results 121 to 130 of about 149,760 (296)

Combining Spatial Multi‐Omics Data to Decipher Spatial Domains and Elucidate Cell Heterogeneity Based on Self‐Supervised Graph Learning

open access: yesAdvanced Science, EarlyView.
A self‐supervised multi‐view graph fusion framework integrates spatial multi‐omics, excelling in domain identification and denoising. It reconstructs spatial pseudo‐expression, jointly analyzes multi‐omics data, infers RNA velocity, predicts spatial omics features from single‐cell multi‐omics, and detects spatially dark genes and transcription factors,
Yuejing Lu   +8 more
wiley   +1 more source

The Power and Limitations of Genomic Surveillance of Bacteria [PDF]

open access: yesFuture Microbiology, 2019
Fernando González-Candelas   +2 more
openaire   +2 more sources

Eco‐Geography Reverses Dominant AMR Reservoirs in Klebsiella pneumoniae: Integron‐Rich Mobilomes and Cross‐Niche Connectivity

open access: yesAdvanced Science, EarlyView.
Dominant antimicrobial resistance reservoirs in Klebsiella pneumoniae vary across eco‐geographic settings rather than following a universal pattern. Integrated One Health and global genomic analyses show that lineage structure, integron load, and cross‐niche connectivity shape whether AMR burden accumulates primarily in human or nonhuman compartments ...
Hui Lin   +12 more
wiley   +1 more source

LANDSCAPE OF HIV-1 VIRAL DIVERSITY IN BRAZIL: A DECADE OF GENOTYPING

open access: yesBrazilian Journal of Infectious Diseases
Introduction/Objectives: The HIV-1 epidemic continues to be a public health challenge in Brazil. Viral mutations allow the virus to escape the immune system and may also lead to resistance to antiretroviral therapy (ART). In this context, the analysis of
André Henrique Barbosa de Carvalho   +3 more
doaj   +1 more source

STAID: A Self‐Refining Deep Learning Framework for Spatial Cell‐Type Deconvolution with Biologically Informed Modeling

open access: yesAdvanced Science, EarlyView.
STAID is a unified deep learning framework that couples iterative pseudo‐spot refinement with neural network training through a feedback loop and exploits gene co‐expression information to model higher‐order interactions, achieving accurate and robust cell‐type deconvolution in spatial transcriptomics.
Jixin Liu   +5 more
wiley   +1 more source

Genomic surveillance for antimicrobial resistance — a One Health perspective

open access: yes
Antimicrobial resistance (AMR) - the ability of microorganisms to adapt and survive under diverse chemical selection pressures - is influenced by complex interactions between humans, companion and food-producing animals, wildlife, insects and the ...
Reid, CJ   +9 more
core   +1 more source

NAT10‐Mediated ac4C Modification of circANKRD12 Reprograms the Tumor Microenvironment

open access: yesAdvanced Science, EarlyView.
NAT10‐dependent acetylation of circANKRD12 drives translation of the circANKRD12_354aa protein, which binds HDAC2 to stabilize c‐Myc via deubiquitination, promoting multiple myeloma (MM) cell proliferation. Concurrently, the circANKRD12‐HDAC2 axis suppresses H3ac‐mediated transcription of IFN‐γ, TNF‐α, and GZMB in NK cells, leading to NK cell ...
Jiale Zhang   +8 more
wiley   +1 more source

PDIA6–SCD1 Axis Rewires Lipid Metabolism to Drive Gastric Cancer Progression

open access: yesAdvanced Science, EarlyView.
Protein disulfide isomerase A6 (PDIA6) is identified as an oncogenic driver in gastric cancer. PDIA6 directly binds and stabilizes SCD1 by limiting its ubiquitin–proteasome‐mediated degradation, thereby sustaining monounsaturated fatty acid (MUFA)‐enriched lipid homeostasis and lipid metabolic reprogramming.
Zhen Tian   +13 more
wiley   +1 more source

Pipeline for SARS-CoV-2 genomic surveillance [PDF]

open access: yes
In the United States, CDC tracks emerging variants through genomic surveillance using a multilayered approach.Publication date from document properties.tracking-sars-cov-3-variants-infographic-9-2 ...

core  

National investment case development for pathogen genomics

open access: yesCell Genomics
Summary: Sustaining and expanding genomic surveillance capacity requires broader investment in genomics that target both novel and pandemic pathogens. Currently, there is no standardized methodology to evaluate the cost and benefit of a multi-pathogen ...
Yoong Khean Khoo   +14 more
doaj   +1 more source

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