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Earlier sources: Science
Science investigates the natural world through observation, experiments, and mathematical models. Explore papers and developments in biology, medicine, materials, neuroscience, physics, climate, and mathematics; a reported finding is not necessarily established consensus.
SYMTRI organizes observations from public sources into a living map. Connections reflect shared subject matter; they do not establish causation or endorse a source.
Open in the map ↗1668 classified signals in the fourteen-day window. Recent momentum: steady. These counts include signals awaiting readable evidence.
Earlier sources
Up to ten sources with readable evidence, ordered by their feed timestamp. These archive sources can be older than the live fourteen-day window. This list is a sample, not a measure of total activity. Dates distinguish paper publication, repository creation, model/dataset activity, Hacker News posts, and KEV catalog additions. “First archived” records when SYMTRI first stored the signal.
- OpenAlex · Published · First archived
Linking DC transport properties and entanglement negativity in non-Hermitian superlattices ↗
Abstract We explore how non-Hermitian effects including gain–loss imbalance, asymmetric hopping, and complex potentials in one-dimensional superlattices influence both electrical transport properties and quantum correlations. Focusing on a multiband tetramerized superlattice, we study the impact of distinct gain–loss configurations on electrical transport coefficients such as the Drude weight, alongside mixed-state quantum entanglement measures. Using a class of generalized Su–Schrieffer–Heeger (SSH) Hamiltonians with adjustable sublattice asymmetry and non-reciprocity, we systematically evalu…
- OpenAlex · Published · First archived
Physics informed machine learning predicts binding free energy changes in protein-RNA complexes upon mutations ↗
Protein-RNA interactions are central to gene regulation, yet predicting mutation-induced changes in binding free energy (ΔΔG) remains difficult due to sparse, heterogeneous measurements and strong imbalance in mutation types. Here we present Pred-MutPRI, a physics-informed machine learning framework for ΔΔG prediction in protein–RNA complexes. We curated a unified dataset of experimentally measured ΔΔG values with standardized thermodynamic conventions, and introduced thermodynamic permutation (TP) to generate cycle-consistent training pairs that expand substitution-type coverage while reducin…
- OpenAlex · Published · First archived
BRCA1/2 variant profiling and HPV/HMTV DNA detection in a cohort of Egyptian women with breast cancer ↗
Abstract Breast cancer (BC) is a multifactorial disease influenced by both genetic and environmental factors. Pathogenic variants in BRCA1 and BRCA2 significantly increase hereditary BC risk, while oncogenic viruses such as human Papillomavirus (HPV) and human mammary tumor virus ( HMTV ) may modulate disease development. Population-specific studies integrating genetic, clinicopathological, and viral data remain limited. Genomic DNA was extracted from 48 BC patients (19 fresh tissues, 29 FFPE samples). BRCA1/2 libraries were prepared using the Devyser BRCA NGS kit and sequenced on the Illumina…
- OpenAlex · Published · First archived
Protein–protein interaction network-based evaluation of lung cancer relevance and hub gene identification from in vitro crocidolite exposure signatures ↗
Abstract Objectives This study evaluated whether a protein–protein interaction (PPI) network-based approach can link in vitro exposure-induced gene expression signatures to human disease modules. Methods Crocidolite, a well-established lung carcinogen, was used as a model of inhaled dust. Human immortalized type I alveolar epithelial cells were exposed to five doses of crocidolite, and RNA sequencing was performed. 253 asbestos exposure-responsive genes showing dose-dependent responses were defined as a crocidolite module. Lung cancer-related proteins were compiled from OMIM, GWAS Catalog, Phe…
- OpenAlex · Published · First archived
SpaCEy links spatial tissue patterns to clinical outcomes using explainable graph neural networks ↗
Tissues are complex ecosystems organised in space, and alterations in this organisation underpin multiple diseases. Spatial omics enables molecular profiling of tissue organisation, but linking these patterns to clinical outcomes remains challenging. We present SpaCEy (Spatial Clinical Explainability), an explainable graph neural network that identifies tissue patterns predictive of clinical outcomes in spatial proteomics datasets. SpaCEy models tissues as spatial graphs from molecular marker expression, without using predefined cell-type labels or anatomical regions as model inputs. Its embed…
- OpenAlex · Published · First archived
Equivalence of DNA-based cytometry to clinical flow cytometry and CBC for immune cell quantification in peripheral blood ↗
Clinical flow cytometry, the current standard for immune cell typing and quantification, requires intact cell membranes, complex reagents, and substantial infrastructure, making it a costly, technically demanding process. In contrast, methylation cytometry only requires the measurement of cellular DNA methylation for accurate immune cell quantification. Patterns of DNA methylation are cell specific. The methylated or unmethylated signal at cell-type-specific CpG sites is directly proportional to a cell’s abundance within a sample. Here we evaluate the equivalence of immune cell quantification…
- OpenAlex · Published · First archived
The deubiquitinating enzyme USP42 promotes lung adenocarcinoma progression through PTGS2 ↗
The ubiquitin-specific peptidase 42 (USP42) is a cysteine-dependent deubiquitinase with pro-tumorigenic roles in several cancers. In lung adenocarcinoma (LUAD), elevated USP42 expression correlates with advanced stage and poor survival, mirroring the prognostic impact of prostaglandin-endoperoxide synthase 2 (PTGS2) overexpression. However, the substrate repertoire and mechanisms by which USP42 drives malignant progression and immune evasion in LUAD remain largely undefined. Using TCGA datasets and functional experiments in LUAD cell lines, we found that USP42 is significantly overexpressed in…
- OpenAlex · Published · First archived
Methyl-donor inhibitors relax 3D genome structures to promote totipotent reprogramming ↗
The 3D genome safeguards cell identity while shaping developmental plasticity, yet its coordination with metabolism during cell fate transitions remains unclear. Here, we use a mouse totipotent stem cell induction system to dissect the role of methyl-donor metabolism in 3D genome remodeling and cell fate transitions. We show that inhibition of methyl-donor pathways enhances reprogramming toward a totipotent-like state and drives widespread relaxation of 3D genome architecture, characterized by reduced chromatin compaction and attenuated higher-order chromatin organization. Mechanistically, met…
- OpenAlex · Published · First archived
Integrated analysis of mRNA and lncRNA transcriptomes in peripheral blood of Holstein cattle at high and low altitudes ↗
Holstein cattle are selected for high milk yield but show limited adaptation to hypoxic environments. The transcriptional features underlying their long-term response to hypoxic stress, particularly the role of non-coding RNAs, remain poorly understood. This study analysed mRNA and long non-coding RNA (lncRNA) expression in peripheral blood mononuclear cells (PBMCs) from Holstein cows at high and low altitudes. In total, 7,625 differentially expressed genes (DEGs) and 4,956 differentially expressed lncRNAs (DELs) were identified. Functional enrichment analyses revealed significant downregulati…
- OpenAlex · Published · First archived
Programmable Assembly of Higher‐Order DNA Nanostructures from Microbial ssDNA Staple Libraries ↗
Bottom-up manufacturing of structural DNA nanotechnology requires a long single-stranded DNA (ssDNA) scaffold and hundreds of short (∼30 nt) ssDNA staples. However, large-scale production is limited by the high cost and environmental impact of solid-phase chemical staple synthesis. To address these challenges, we developed a phage-free, biological nanomanufacturing platform engineered in Escherichia coli. Two intracellular strategies for producing programmable ssDNA were evaluated: retron-based multicopy ssDNA (msDNA) synthesis via the Ec67 system and plasmid-encoded rolling circle replication…
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Check each original source for its methods, release status, limitations, and supporting data. A repository announcement, a preprint, and a published study provide different kinds of evidence. SYMTRI’s subject classification helps discovery; it does not independently validate the source’s claims.
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