#Transcriptomic
🎉🆕📰🎉: Integrated transcriptomic and metabolomic analysis reveals that SiGPX1 enhances saline-alkali tolerance in foxtail millet through the glutathione metabolism pathway
doi.org/10.1093/aob/...
September 27, 2026 at 3:02 PM
Tissue-specific aging clocks map structured aging-modulatory drug-score patterns across 49 human tissue and cell-line categories
link.springer.com/article/10.1...
Tissue-specific aging clocks map structured aging-modulatory drug-score patterns across 49 human tissue and cell-line categories - Biogerontology
Aging clocks are typically trained on pooled multi-tissue data, implicitly assuming that aging is uniform across organs. Here we challenge this assumption by constructing 49 transcriptomic clocks acro...
link.springer.com
September 27, 2026 at 2:17 PM
📃Scientific paper: Transcriptomic signature related to poor welfare of sport horses

Ref.: HAL CCSD, 2023

➡️ Continued on ES/IODE
September 27, 2026 at 2:00 PM
Nature research paper: Single-cell atlas of transcriptomic vulnerability across brain disorders

go.nature.com/4dxeB1u
Single-cell atlas of transcriptomic vulnerability across brain disorders - Nature
A population-scale single-cell transcriptomic atlas of the human dorsolateral prefrontal cortex provides a perspective of the transcriptomic landscape in neurodegenerative and neuropsychiatric disorders, and offers potential targets for therapeutic intervention.
go.nature.com
September 27, 2026 at 1:02 PM
Single-cell transcriptomic analysis reveals macrophage state remodeling and attenuated ferro-aging-related features in osteoarthritis with osteoporosis #SingleCell 🧪🧬🖥️
https://www.researchsquare.com/article/rs-10999132/latest
September 27, 2026 at 1:00 PM
The authors included RRIDs in their in bioRxiv paper! RRIDs improve reproducibility in scientific research. #OpenResearch #methodsmatter #accelerateopenscience
A transcriptomic and spatial map of serotonin autoreceptor expression in Drosophila
Read the full paper: A transcriptomic and spatial map of serotonin autoreceptor expression in Drosophila
doi.org
September 27, 2026 at 7:00 AM
Single-cell atlas of transcriptomic vulnerability across brain disorders

www.nature.com/articles/s41...
Single-cell atlas of transcriptomic vulnerability across brain disorders - Nature
A population-scale single-cell transcriptomic atlas of the human dorsolateral prefrontal cortex provides a perspective of the transcriptomic landscape in neurodegenerative and neuropsychiatric disorde...
www.nature.com
September 26, 2026 at 7:47 PM
Review | Single-cell sequencing in molecular diagnostics: Transformative yet untapped potential www.frontiersin.org/journals/gen...
Frontiers | Single-cell sequencing in molecular diagnostics: Transformative yet untapped potential
Single-cell sequencing (SCS) techniques have the potential to offer precise insights into cellular diversity by revealing unique genetic and transcriptomic p...
www.frontiersin.org
September 26, 2026 at 7:01 PM
Transplantation of Elderly Human Gut Microbiota Into Pigs Reprograms Intestinal Barrier Function, Plasma Metabolome, and Gut Mucosal Transcriptomic Landscape
onlinelibrary.wiley.com/doi/full/10....
Transplantation of Elderly Human Gut Microbiota Into Pigs Reprograms Intestinal Barrier Function, Plasma Metabolome, and Gut Mucosal Transcriptomic Landscape
Elderly human donor microbiota disrupts intestinal barrier integrity and reshapes host metabolic and mucosal transcriptional profiles in human microbiota-associated pigs. Integrated multi-omics analy...
onlinelibrary.wiley.com
September 26, 2026 at 1:22 PM
Robust Inference of Phage Host Infection Dynamics from Sparse Single-Cell Transcriptomic Profiles in Pseudomonas aeruginosa #SingleCell 🧪🧬🖥️
https://www.biorxiv.org/content/10.64898/2026.09.24.752076v1
September 26, 2026 at 4:03 AM
Robust Inference of Phage Host Infection Dynamics from Sparse Single-Cell Transcriptomic Profiles in Pseudomonas aeruginosa https://www.biorxiv.org/content/10.64898/2026.09.24.752076v1
September 26, 2026 at 3:17 AM
Robust Inference of Phage Host Infection Dynamics from Sparse Single-Cell Transcriptomic Profiles in Pseudomonas aeruginosa https://www.biorxiv.org/content/10.64898/2026.09.24.752076v1
September 26, 2026 at 3:17 AM
OmicsResonance: An LLM-assisted cloud ecosystem for interactiveand reproducible single-cell transcriptomic analysis #SingleCell 🧪🧬🖥️
https://www.biorxiv.org/content/10.64898/2026.09.20.753054v1
September 26, 2026 at 1:00 AM
OmicsResonance: An LLM-assisted cloud ecosystem for interactiveand reproducible single-cell transcriptomic analysis https://www.biorxiv.org/content/10.64898/2026.09.20.753054v1
September 25, 2026 at 10:45 PM
OmicsResonance: An LLM-assisted cloud ecosystem for interactiveand reproducible single-cell transcriptomic analysis https://www.biorxiv.org/content/10.64898/2026.09.20.753054v1
September 25, 2026 at 10:45 PM
A Streptococcus iniae-associated outbreak in hybrid sturgeon (Acipenser baerii ♀ × Acipenser schrenckii ♂): pathological features and transcriptomic responses to experimental challenge https://pubmed.ncbi.nlm.nih.gov/42780578/
September 25, 2026 at 7:08 PM
Transcriptomic and proteomic sex differences in the Alzheimer’s cortex are large but do not scale with pathology #NeuroDegeneration 🧪🧠
https://link.springer.com/10.1186/s40478-026-02434-4
September 25, 2026 at 7:03 PM
The tumor microenvironment landscape in lung adenocarcinoma with spatial transcriptomic mapping #SingleCell 🧪🧬🖥️
https://www.researchsquare.com/article/rs-10946821/latest
September 25, 2026 at 4:00 PM
Deep generative embeddings of gene expression and splicing reposition the interpretation of single-cell transcriptomic signatures #SingleCell 🧪🧬🖥️
https://www.biorxiv.org/content/10.64898/2026.09.23.753495v1
September 25, 2026 at 1:00 PM
Unlocking genome regulation: A new method analyzes over 1.6M compositions, tests 653, & finds a buffer boosting mRNA by 20x for clearer gene expression insights. PMID:42364991, Nat Commun 2026, @NatureComms https://doi.org/10.1038/s41467-026-74559-y #Medsky #Pharmsky #RNA #ASHG #ESHG 🧪
Active-learning-guided optimization of cell-free systems for genome-wide transcriptomic profiling reveals progressive layers of regulation | Nature Communications
Understanding genome regulation is limited by the complexity of molecular interactions in living cells. Cell-free systems provide a simplified platform for studying gene expression, but low mRNA levels have prevented RNA-seq. To address this, we develop an active learning workflow combining Bayesian optimization with automated high-throughput experimentation to systematically explore over 1.6 million buffer compositions, experimentally testing 653. We identify a “mRNA-optimized” buffer (20-fold increase in mRNA yield) and a “trade-off” buffer (13-fold increase while maintaining protein production). Using direct RNA-seq, we profile the T7 phage transcriptome in cell-free systems and compare it with a purified T7-RNAP transcription system and phage-infected bacteria. This comparative analysis reveals distinct regulatory layers: the T7-RNAP system captures promoter-strength hierarchies but lacks RNA degradation, whereas cell-free systems provide an accurate estimation of in vivo expressio
doi.org
September 25, 2026 at 12:00 PM
Deep generative embeddings of gene expression and splicing reposition the interpretation of single-cell transcriptomic signatures https://www.biorxiv.org/content/10.64898/2026.09.23.753495v1
September 25, 2026 at 11:31 AM