All Genomics & Sequencing articles
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Article600+ patient-derived cancer models expand the search for drug targets
Hundreds of new patient-derived cancer models could strengthen target validation, identify cancer vulnerabilities and provide more representative systems for preclinical drug discovery.
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NewsAGR2 and FOXM1 identified as prognostic and therapeutic targets in NF-PanNETs
A new study using single-cell RNA sequencing has identified AGR2 as a potential prognostic marker and FOXM1 as a druggable target in non-functional pancreatic neuroendocrine tumours, offering new tools to stratify patients and guide treatment strategies.
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NewsMulti-target screening refines ADC development for cervical cancer
A large-scale transcriptomic study has pinpointed distinct cell-surface targets for antibody-drug conjugate development across cervical cancer subtypes, revealing how tissue-of-origin comparisons and subpopulation analysis can uncover targets missed by conventional screening approaches.
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ArticleFibroblast barrier linked to immunotherapy resistance in colorectal cancer
Why do some colorectal cancers resist immunotherapy? Analysis of patient tumour samples has identified a population of fibroblasts that could help explain treatment resistance.
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ArticleReducing drug development failures with human-relevant models and AI
Professor Joseph C. Wu of Stanford University explains how stem cells, human-relevant models and AI are helping researchers predict which drug candidates are most likely to succeed before clinical trials.
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NewsAI designs functional bacteriophage genomes to overcome bacterial resistance
Scientists have used artificial intelligence to design complete, functional bacteriophage genomes from scratch, with engineered phages capable of overcoming resistance in bacteria that had defeated naturally occurring viruses — marking a significant step towards AI-driven whole-genome engineering.
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ArticleWhy single-cell foundation models have underdelivered and what drug discovery needs instead
Foundation models have delivered breakthroughs in protein biology, but single-cell models have struggled to match them. What is holding them back?
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NewsMitochondrial microprotein discovery reveals new Type 2 diabetes genetic link
A newly identified mitochondrial microprotein, MENTSH, has been linked to increased Type 2 diabetes susceptibility in Mexican and Mexican American populations, pointing towards a potential precision medicine target.
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NewsFullscope-seq maps transcript isoforms with spatial single-cell resolution
Researchers have developed Fullscope-seq, a long-read spatial transcriptomics platform that maps alternative transcript isoforms within intact tissues at single-cell resolution – opening new possibilities for target identification and precision biomarker discovery.
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NewsLandmark fibromyalgia study highlights neurological targets for new therapies
A landmark genome-wide study of more than 2.5 million adults has identified 26 genomic regions linked to fibromyalgia, confirming a neurological basis for the condition and opening new avenues for targeted drug discovery.
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News3D genome reorganisation identified as Alzheimer’s disease molecular hallmark
An international study combining single-cell genomics, spatial transcriptomics and artificial intelligence has identified large-scale changes in three-dimensional genome organisation in Alzheimer’s-affected brain cells, establishing chromatin architecture as a previously overlooked component of the disease’s molecular pathology and a potential framework for future therapeutic targeting.
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WebinarMeeting ethical & regulatory requirements when using human biological specimens
Whether you source, purchase or work with human biospecimens, understanding today’s ethical and regulatory expectations is essential. Join this webinar to explore informed consent, privacy and the principles that support responsible research.
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NewsSpatial map reveals hidden complexity of bladder cancer tumours
Researchers at MD Anderson Cancer Center have used spatial transcriptomics to chart the internal architecture of muscle-invasive bladder cancer, revealing that luminal and basal cancer cell programmes coexist within single tumours – a finding with significant implications for treatment stratification.
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ArticleFrom R&D to QC: building a single analytical strategy for cell and gene therapies
From early research to quality control, maintaining analytical continuity is no easy task. Could a single sequencing workflow help simplify analytical assessment?
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NewsCerebral organoids identify Ebola virus persistence in neural tissue
Researchers have used human brain organoids to demonstrate that Ebola virus can replicate in neural tissue for up to 120 days, offering new insights into viral persistence mechanisms in immune-privileged sites and late-stage inflammatory complications in survivors.
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ArticleSmall tags, big advances: studying endogenous proteins in their native context
By combining CRISPR knock-in with small peptide tags, researchers can study proteins in their native cellular context, generating more predictive data for translational drug discovery.
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ReportContext is everything: how spatial biology is changing our understanding of disease
Discover how spatial biology is revealing disease mechanisms with implications for biomarkers, immunotherapy and drug development.
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NewsGene-based CIN score predicts breast cancer survival and immunotherapy response
A 13-gene chromosomal instability scoring system developed by Shanghai researchers correlates with survival outcomes and immunotherapy response in breast cancer patients.
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NewsParse Biosciences and bit.bio map transcription factor-driven cell identity
Parse Biosciences and bit.bio have formed an alliance to map transcription factor-driven cell identity using single cell sequencing and causal transcriptomics.
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ArticleMachine learning identifies biological signals linked to emotional hunger
Researchers at Phenomix Sciences are using machine learning and genetic risk scoring to investigate emotional hunger, an obesity phenotype linked to emotional and reward-driven eating behaviours. Dr Timothy O’Connor discusses how the approach could improve patient stratification, obesity research and treatment selection.