Entering the spatial age of parasite genomics.

Reconciling organism-scale biology at cellular-scale resolution has been a monumental challenge. Recently, Gramberg et al. uncovered the spatial organisation of gene expression in the common liver fluke, Fasciola hepatica.

Copy number variants underlie major selective sweeps in insecticide resistance genes in Anopheles arabiensis.

To keep ahead of the evolution of resistance to insecticides in mosquitoes, national malaria control programmes must make use of a range of insecticides, both old and new, while monitoring resistance mechanisms. The outdoor-biting malaria vector Anopheles arabiensis is of increasing concern for malaria transmission because it is apparently less susceptible to many indoor control interventions, yet knowledge of its mechanisms of resistance remains limited. Furthermore, comparatively little is known in general about resistance to non-pyrethroid insecticides such as pirimiphos-methyl (PM), which are crucial for effective control in the context of globally high resistance to pyrethroids.

The genome sequence of the whiskered bat, (Kuhl, 1817).

We present a genome assembly from an individual male (whiskered bat; Chordata; Mammalia; Chiroptera; Vespertilionidae). The genome sequence has a total length of 2,081.20 megabases.

Using multiplexed functional data to reduce variant classification inequities in underrepresented populations.

Background: Multiplexed Assays of Variant Effects (MAVEs) can test all possible single variants in a gene of interest. The resulting saturation-style functional data may help resolve variant classification disparities between populations, especially for Variants of Uncertain Significance (VUS).

Methods: We analyzed clinical significance classifications in 213,663 individuals of European-like genetic ancestry versus 206,975 individuals of non-European-like genetic ancestry from All of Us and the Genome Aggregation Database.

Implementation and validation of single-cell genomics experiments in neuroscience.

Single-cell or single-nucleus transcriptomics is a powerful tool for identifying cell types and cell states. However, hypotheses derived from these assays, including gene expression information, require validation, and their functional relevance needs to be established. The choice of validation depends on numerous factors.

Opportunities and challenges of single-cell and spatially resolved genomics methods for neuroscience discovery.

Over the past decade, single-cell genomics technologies have allowed scalable profiling of cell-type-specific features, which has substantially increased our ability to study cellular diversity and transcriptional programs in heterogeneous tissues. Yet our understanding of mechanisms of gene regulation or the rules that govern interactions between cell types is still limited. The advent of new computational pipelines and technologies, such as single-cell epigenomics and spatially resolved transcriptomics, has created opportunities to explore two new axes of biological variation: cell-intrinsic regulation of cell states and expression programs and interactions between cells.

Phenotypic and genotypic correlates of the sodium bicarbonate-responsive phenotype among methicillin-resistant Staphylococcus aureus isolates from skin and soft-tissue infections.

Objectives: The objective of this study is to assess the frequency of the novel sodium bicarbonate (NaHCO)-responsive phenotype, wherein clinical methicillin-resistant Staphylococcus aureus (MRSA) isolates are rendered susceptible to standard-of-care β-lactams in the presence of NaHCO, in a collection of 103 clinical U.S. MRSA skin and soft-tissue infection (SSTI) isolates and 22 clinical European SSTI isolates.

MoCHI: neural networks to fit interpretable models and quantify energies, energetic couplings, epistasis, and allostery from deep mutational scanning data.

We present MoCHI, a tool to fit interpretable models using deep mutational scanning data. MoCHI infers free energy changes, as well as interaction terms (energetic couplings) for specified biophysical models, including from multimodal phenotypic data. When a user-specified model is unavailable, global nonlinearities (epistasis) can be estimated from the data.

SARS-CoV-2 human challenge reveals biomarkers that discriminate early and late phases of respiratory viral infections.

Blood transcriptional biomarkers of acute viral infections typically reflect type 1 interferon (IFN) signalling, but it is not known whether there are biological differences in their regulation that can be leveraged for distinct translational applications. We use high frequency sampling in the SARS-CoV-2 human challenge model to show induction of IFN-stimulated gene (ISG) expression with different temporal and cellular profiles. MX1 gene expression correlates with a rapid and transient wave of ISG expression across all cell types, which may precede PCR detection of replicative infection.

Tracking the gene expression programs and clonal relationships that underlie mast, myeloid, and T lineage specification from stem cells.

T cells develop from hematopoietic progenitors in the thymus and protect against pathogens and cancer. However, the emergence of human T cell-competent blood progenitors and their subsequent specification to the T lineage have been challenging to capture in real time. Here, we leveraged a pluripotent stem cell differentiation system to understand the transcriptional dynamics and cell fate restriction events that underlie this critical developmental process.

Systemic coordination of whole-body tissue remodeling during local regeneration in sea anemones.

The complexity of regeneration extends beyond local wound responses, eliciting systemic processes across the entire organism. However, the functional relevance and coordination of distant molecular processes remain unclear. In the cnidarian Nematostella vectensis, we show that local regeneration triggers a systemic homeostatic response, leading to coordinated whole-body remodeling.

Synthetic augmentation of cancer cell line multi-omic datasets using unsupervised deep learning.

Integrating diverse types of biological data is essential for a holistic understanding of cancer biology, yet it remains challenging due to data heterogeneity, complexity, and sparsity. Addressing this, our study introduces an unsupervised deep learning model, MOSA (Multi-Omic Synthetic Augmentation), specifically designed to integrate and augment the Cancer Dependency Map (DepMap). Harnessing orthogonal multi-omic information, this model successfully generates molecular and phenotypic profiles, resulting in an increase of 32.

Evolutionary genomics of Leishmania braziliensis across the neotropical realm.

The Neotropical realm, one of the most biodiverse regions on Earth, houses a broad range of zoonoses that pose serious public health threats. Protozoan parasites of the Leishmania (Viannia) braziliensis clade cause zoonotic leishmaniasis in Latin America with clinical symptoms ranging from simple cutaneous to destructive, disfiguring mucosal lesions. We present the first comprehensive genome-wide continental study including 257 cultivated isolates representing most of the geographical distribution of this major human pathogen.

COVID-19 progression and convalescence in common variable immunodeficiency patients show dysregulated adaptive immune responses and persistent type I interferon and inflammasome activation.

Common variable immunodeficiency (CVID) is the most prevalent primary immunodeficiency, marked by hypogammaglobulinemia, poor antibody responses, and increased infection susceptibility. The COVID-19 pandemic provided a unique opportunity to study the effects of prolonged viral infections on the immune responses of CVID patients. Here we use single-cell RNA-seq and spectral flow cytometry of peripheral blood samples before, during, and after SARS-CoV-2 infection showing that COVID-19 CVID patients display a persistent type I interferon signature at convalescence across immune compartments.

EMBL's European Bioinformatics Institute (EMBL-EBI) in 2024.

The European Molecular Biology Laboratory's European Bioinformatics Institute (EMBL-EBI) is one of the world's leading sources of public biomolecular data. Based at the Wellcome Genome Campus in Hinxton, UK, EMBL-EBI is one of six sites of the European Molecular Biology Laboratory, Europe's only intergovernmental life sciences organization. This overview summarizes the latest developments in services that EMBL-EBI data resources provide to scientific communities globally (https://www.

CZ CELLxGENE Discover: a single-cell data platform for scalable exploration, analysis and modeling of aggregated data.

Hundreds of millions of single cells have been analyzed using high-throughput transcriptomic methods. The cumulative knowledge within these datasets provides an exciting opportunity for unlocking insights into health and disease at the level of single cells. Meta-analyses that span diverse datasets building on recent advances in large language models and other machine-learning approaches pose exciting new directions to model and extract insight from single-cell data.

Genomes of two invasive species (hemlock woolly adelgid and pineapple gall adelgid) enable characterization of nicotinic acetylcholine receptors.

Two invasive hemipteran adelgids cause widespread damage to North American conifers. (the hemlock woolly adelgid) has decimated and (the Eastern and Carolina hemlocks, respectively). was introduced from East Asia and reproduces parthenogenetically in North America, where it can kill trees rapidly.

Shigella sonnei: epidemiology, evolution, pathogenesis, resistance and host interactions.

Shigella sonnei is a major cause of diarrhoea globally and is increasing in prevalence relative to other Shigella because of multiple demographic and environmental influences. This single-serotype species has traditionally received less attention in comparison to Shigella flexneri and Shigella dysenteriae, which were more common in low-income countries and more tractable in the laboratory. In recent years, we have learned that Shigella are highly complex and highly susceptible to environmental change, as exemplified by epidemiological trends and increasing relevance of S.

Evolutionary plasticity in nematode Hox gene complements and genomic loci arrangement.

Hox genes are central to metazoan body plan formation, patterning and evolution, playing a critical role in cell fate decisions early in embryonic development in invertebrates and vertebrates. While the archetypical Hox gene cluster consists of members of nine ortholog groups (HOX1-HOX9), arrayed in close linkage in the order in which they have their anterior-posterior patterning effects, nematode Hox gene sets do not fit this model. The Caenorhabditis elegans Hox gene set is not clustered and contains only six Hox genes from four of the ancestral groups.