Our findings revealed an unexpected connection between arginine metabolism and virulence of Adherent-Invasive E. coli (AIEC), associated to Crohn’s disease.
@collllorenc.bsky.social
@collllorenc.bsky.socialOur findings revealed an unexpected connection between arginine metabolism and virulence of Adherent-Invasive E. coli (AIEC), associated to Crohn’s disease.
@jcb.orgStage-specific #transcriptomics of a leader cell reveals cell machineries driving collective invasion. From Priti Agarwal @pritiagarwal.bsky.social, Ronen Zaidel-Bar and colleagues: rupress.org/jcb/article/...
📕 Part of our #Tools collection: rupress.org/jcb/collecti...
@scilifelab.seWe're excited to welcome the #LongRead sequencing community to Uppsala, Sweden! 🧪
An opportunity to learn & exchange ideas within #biodiversity, #ClinicalDiagnostics, #transcriptomics, #epigenomics and more!
🗓️ November 2-4
📍 @uu.se Main Building
Program and registration: www.lrua.se/registration/
@aging-us.bsky.social🎥 #AgingShort:
Abstract #Video about a #Research paper #Published in Volume 18, titled "Transcriptomic aging clock analysis identifies key genes in opioid dependence.” @tulaneu.bsky.social
#Aging #TrendingWithImpact #Opioids #Transcriptomics #Longevity #OA #Publishing
@cancers-mdpi.bsky.social🎯Editor's Choice
Single-Cell Comparison of Small Intestinal #NeuroendocrineTumors and #Enterochromaffin Cells from Two Patients
🧑🔬by Fredrik Axling, Elham Barazeghi et al. from Uppsala University
Find out more👉 www.mdpi.com/2072-6694/18...
@abioticstress.bsky.socialSingle-cell #transcriptomics and DNA #methylomics reveal cell type–specific #heat stress response mechanisms in #alfalfa
academic.oup.com/plphys/artic...
#PlantScience @plantphys.bsky.social @aspbofficial.bsky.social @plantteaching.bsky.social @planteditors.bsky.social @plant-sci.bsky.social
@mapjournals.bsky.social#FruitRes
Integrated metabolomics and transcriptomics reveal cyanidin-driven anthocyanin accumulation in jaboticaba peel of three cultivars.
Details: https://www.maxapress.com/article/doi/10.48130/frures-0026-0027
#Jaboticaba #Anthocyanins #Transcriptomics
@mapjournals.bsky.social#STATI
A latent disease-axis framework turns transcriptomes into continuous disease scores, capturing severity and heterogeneous treatment response in SLE.
Details: https://www.maxapress.com/article/doi/10.48130/stati-0026-0016
#Transcriptomics #DiseaseAxis #Lupus
@philoneurosci.bsky.socialOpenFISH enables same-section spatial #transcriptomics and MALDI-MSI integration: Neuron www.cell.com/neuron/fullt...
@gpbees.bsky.socialA valuable step toward connecting atlas-scale single-cell data with ocular biology and precision ophthalmology.
#SingleCell #scRNAseq #Ophthalmology #Transcriptomics #CellAtlas
@abioticstress.bsky.socialIntegrated #Transcriptomics, #Metabolomics, and Functional Analyses Uncover TaHma1-7b and Indole-3-carboxylic Acid as Key Regulators of #Wheat #Cadmium Detoxification
#PlantScience @pubs.acs.org @wheatgenome.bsky.social @plant-sci.bsky.social @planteditors.bsky.social
@vugene.comStep 1: Standardized processing
Each layer - #transcriptomics, #proteomics, #metabolomics, #lipidomics was processed via modality-specific pipelines.
Automated QC, normalization, and imputation eliminated batch effects and technical artifacts before integration.
@vugene.comStep 1: Standardized processing
Each layer - #transcriptomics, #proteomics, #metabolomics, #lipidomics was processed via modality-specific pipelines.
Automated QC, normalization, and imputation eliminated batch effects and technical artifacts before integration.
@csbj.org🔗 Graph Topology Reframes the Coherence of Cell-State Manifold Inference under Heterogeneous Single-Cell Observations. doi.org/10.34133/csb...
📚 CSBJ - A Science Partner Journal: spj.science.org/journal/csbj
@csbj.org #scRNAseq #SingleCellOmics #Transcriptomics #SystemsBiology #CellBiology #Omics
@medicinalmushrooms.bsky.socialTranscriptome-Based WGCNA Analysis Reveals the Mechanism of Cold Resistance in Chinese Caterpillar Mushroom Ophiocordyceps sinensis (Ascomycota)
@cdneurogenomics.bsky.socialMeet dreamlet – an open-source tool from Hoffman et al. for differential-expression analysis in population-scale single-cell studies. It is fast, memory-efficient and supports complex models. doi.org/10.1038/s414... #PsychAD #Transcriptomics
@jdieramon.bsky.social5/8 Association is only the beginning. We integrated in-silico gene expression data from floral tissues and the shoot apical meristem to test whether candidate genes were linked to flowering.
Genomics + transcriptomics = stronger hypotheses. 🧬🌸
@cancers-mdpi.bsky.social🧬Spatial #Transcriptomics in #LungCancer and Pulmonary Diseases: A Comprehensive Review
🧑🔬by Da Hyun Kang, Yoonjoo Kim et al. from Chungnam National University
📊Cited 19 times!
Read it here🔗 www.mdpi.com/2072-6694/17...
#SpatialTranscriptomics #PulmonaryDisease #TumorMicroenvironment
@xiahepublishing.bsky.social🔬 Emerging transcriptomic evidence offers new clues for biomarker discovery and precision treatment. @broadinstitute.org
#Transcriptomics #PrecisionMedicine
🔗 www.xiahepublishing.com/1555-3884/GE...
@bffo.bsky.socialFrom @plos.org #Computational #Biology | Ten quick tips for spatial transcriptomics analysis | #Bioinformatics #Education #PLOSCBQT #Histology #Genomics #Transcriptomics #OpenScience | 🧬🖥️🧪🔓
⬇️
journals.plos.org/ploscompbiol...