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Preclinical data show TRI-611 forms a ternary complex with ALK kinase and CRBN/DDB1, promoting degradation of ALK protein including the EML4-ALK fusion. Combined with TKIs like alectinib and lorlatinib, TRI-611 enhanced tumor suppression in NCI-H3122 xenograft mice without significant body weight loss, indicating a tolerable combination therapy approach.
Researchers developed a light-sheet microscopy method capable of recording cellular-level activity simultaneously across all organs in larval zebrafish and the small, transparent adult fish species Danionella cerebrum. Using carefully controlled husbandry and automated analysis pipelines, the team was able to track physiological signals body-wide rather than in a single organ, revealing coordinated circuits linking the brain to peripheral tissues.
Researchers introduced GPN-Star, a phylogeny-informed genomic language model that outperforms established tools like PhastCons and PhyloP in identifying functional constraint and deleterious variants across the human genome. The model showed especially strong results for distal enhancers, a class of regulatory DNA that has been notoriously hard to analyze, and it learned meaningful patterns linking enhancers, transcription factor binding sites, and their co-evolution without needing labeled training data.
Researchers analyzed proteins from two fossilized teeth—a fourth premolar and a second molar—recovered from Bianfu Cave in southwestern China's Yunnan Province, dated to roughly 140,000 years ago. The proteomic evidence confirms these remains belong to Denisovans, adding to the small but growing collection of physical evidence for this elusive archaic human population. The cave, one of the oldest Palaeolithic sites in western Yunnan, also yielded thousands of stone tools and animal fossils alongside four hominin teeth.
Researchers tracked children in five countries using baseline and endline phone surveys to measure whether mobile education programmes helped maintain learning during disruptions like COVID-19 lockdowns. The assessments, adapted from the ASER numeracy test, measured math skills alongside child wellbeing and parental engagement, with strict quality checks like time limits and requiring children to explain their answers to prevent parental assistance. Data collection methods varied by country, including a partial baseline in Nepal and administrative data in Kenya.
Researchers combined single-cell RNA sequencing from human and mouse pancreatic tumours with protein localization databases, CRISPR dependency screens and functional annotation to identify tumour-secreted genes that shape cancer cell diversity and suppress immune responses. The filtering pipeline pinpointed a group of serpin family proteins acting through myeloid cells as key drivers of this immune evasion process. The work narrows a large pool of candidate genes down to those most likely to influence how pancreatic tumours interact with surrounding immune cells.
Researchers used ancient protein analysis to identify additional Denisovan skeletal remains from a site in Southwest China, expanding the known geographic and fossil record of this archaic human population. The study, published in Nature, builds on prior genetic and proteomic work that has traced Denisovans from Siberia's Denisova Cave to the Tibetan Plateau, Laos, Taiwan, and now southwestern China.
A new methodology integrates multiple existing data sources—Sentinel-1 radar-based damage detection, Overture Maps building footprints, VIINA territorial control data, and UCDP fatality records—to analyze building destruction across Ukraine from March 2022 to October 2023. The approach disaggregates damage data from 10-meter pixel grids down to individual building level using over 26 million mapped footprints, mostly sourced from Microsoft's ML Building Footprints and OpenStreetMap.
The provided text is a bibliography of academic papers and preprints on computational and AI-based approaches to modeling cells, including foundation models for single-cell biology, perturbation prediction, and optimal transport methods for tracking cellular dynamics. It compiles work from research groups building toward what scientists call a 'virtual cell'—computational systems that simulate how cells respond to genetic or chemical changes. No new announcement, product, or specific finding is presented; it is purely a citation list.
Researchers identified a class of long-range GABAergic (Sst+/Nos1+) inhibitory neurons in the mouse neocortex that project across distant cortical regions rather than staying local. Using genetic mouse models, in vivo imaging and chemogenetic manipulation, they showed these neurons drive widespread cortical synchrony and are linked to sleep regulation.
Researchers analyzed genome-wide data from over 140,000 participants in the Mexico City Prospective Study, combining it with reference panels from the 1000 Genomes Project and Human Genome Diversity Project to estimate individual ancestry proportions across Indigenous American, European, African and East Asian populations. Using an ADMIXTURE model with four ancestral groups, they examined how differences in ancestry proportions among siblings within the same family relate to complex traits, isolating genetic ancestry effects from shared environmental and socioeconomic factors.
Researchers describe a generative sampling approach that models transitions between molecular conformations using diffusion-based machine learning, bypassing the extremely long molecular dynamics runs traditionally needed to capture rare structural changes. The technique draws on diffusion probabilistic models and path-sampling theory to generate plausible transition pathways directly, rather than waiting for these events to occur naturally in simulation.