Latest posts tagged with #Transcriptomic on Bluesky
Mechanism-Aware Prediction of Tissue-Specific Drug Activity via Multi-Modal Biological Graphs
Sally Turutov, Kira Radinsky
Action editor: Romain Lopez
https://openreview.net/forum?id=UDW8m9iQeC
#transcriptomic #pathway #pathways
Accelerate #singlecell gene expression research with high-res 3' GEX #scRNA-seq. We deliver sensitive, scalable #transcriptomic profiling with expert support from sample prep to analysis.
#Genomics #NGS #Bioinformatics #LifeSciences #Biotechnology #PrecisionMedicine https://tinyurl.com/2mb557nm
#Molecular mechanisms underlying the #inhibition of #Sparassis latifolia #mycelial growth by #cycloleucine: a comprehensive #transcriptomic and #m6A methylome analysis
doi.org/10.1080/2150...
@tandfresearch.bsky.social
Heat hormesis engages specific regulators to induce thermotolerance in WT and glp-1(ts) mutant. This study reveals that heat hormesis promotes longevity in WT and induces thermotolerance in both WT and glp-1(ts) mutant animals. The authors' multiomic data lead to the identification of several key regulators of heat hormesis, all of which are evolutionarily highly conserved, and participate in different regulatory steps of gene expression. HSF-1 is the master transcription factor of heat shock response and its emergence from the analyses proves that the investigative strategy is effective. FOS-1 points to a potential role for the AP-1 pioneer transcription factor complex in encoding heat hormesis memory through chromatin remodeling. ELT-2 suggests an interaction between the germline and the intestine in stress adaptation. DPY-27 suggests a connection between the dosage compensation complex (DCC)-mediated chromosome architecture and heat stress management. HSF-1, ELT-2, and DPY-27 regulate heat hormesis differently in worms with or without germline. SNPC-4 implicates a role of piRNA-mediated post-transcriptional regulation in stress responses. MARS-1 implicates a role of methionine incorporation during protein synthesis in heat hormesis. Created in BioRender. Lee, S. (2026)
Exposure to mild #HeatStress can promote stress resilience & healthy aging ("heat hormesis"). siusylvialee.bsky.social &co characterize #transcriptomic & #chromatin accessibility changes during heat #hormesis in #Celegans, identifying several novel regulators @plosbiology.org 🧪 plos.io/4cJFEa9
#Transcriptomic response analysis of rubber #tree saplings to #water-deficit stress at #single-cell resolution
www.nature.com/articles/s42...
#PlantScience @commsbio.nature.com @cyi12.bsky.social @treemortality.bsky.social @singlecell.broadinstitute.org @unccd.bsky.social @wtscotsocial.bsky.social
Heat hormesis engages specific regulators to induce thermotolerance in WT and glp-1(ts) mutant. This study reveals that heat hormesis promotes longevity in WT and induces thermotolerance in both WT and glp-1(ts) mutant animals. The authors' multiomic data lead to the identification of several key regulators of heat hormesis, all of which are evolutionarily highly conserved, and participate in different regulatory steps of gene expression. HSF-1 is the master transcription factor of heat shock response and its emergence from the analyses proves that the investigative strategy is effective. FOS-1 points to a potential role for the AP-1 pioneer transcription factor complex in encoding heat hormesis memory through chromatin remodeling. ELT-2 suggests an interaction between the germline and the intestine in stress adaptation. DPY-27 suggests a connection between the dosage compensation complex (DCC)-mediated chromosome architecture and heat stress management. HSF-1, ELT-2, and DPY-27 regulate heat hormesis differently in worms with or without germline. SNPC-4 implicates a role of piRNA-mediated post-transcriptional regulation in stress responses. MARS-1 implicates a role of methionine incorporation during protein synthesis in heat hormesis. Created in BioRender. Lee, S. (2026)
Exposure to mild #HeatStress can promote stress resilience & healthy aging ("heat hormesis"). siusylvialee.bsky.social &co characterize #transcriptomic & #chromatin accessibility changes during heat #hormesis in #Celegans, identifying several novel regulators @plosbiology.org 🧪 plos.io/4cJFEa9
Heat hormesis engages specific regulators to induce thermotolerance in WT and glp-1(ts) mutant. This study reveals that heat hormesis promotes longevity in WT and induces thermotolerance in both WT and glp-1(ts) mutant animals. The authors' multiomic data lead to the identification of several key regulators of heat hormesis, all of which are evolutionarily highly conserved, and participate in different regulatory steps of gene expression. HSF-1 is the master transcription factor of heat shock response and its emergence from the analyses proves that the investigative strategy is effective. FOS-1 points to a potential role for the AP-1 pioneer transcription factor complex in encoding heat hormesis memory through chromatin remodeling. ELT-2 suggests an interaction between the germline and the intestine in stress adaptation. DPY-27 suggests a connection between the dosage compensation complex (DCC)-mediated chromosome architecture and heat stress management. HSF-1, ELT-2, and DPY-27 regulate heat hormesis differently in worms with or without germline. SNPC-4 implicates a role of piRNA-mediated post-transcriptional regulation in stress responses. MARS-1 implicates a role of methionine incorporation during protein synthesis in heat hormesis. Created in BioRender. Lee, S. (2026)
Exposure to mild #HeatStress can promote stress resilience & healthy aging ("heat hormesis"). siusylvialee.bsky.social &co characterize #transcriptomic & #chromatin accessibility changes during heat #hormesis in #Celegans, identifying several novel regulators @plosbiology.org 🧪 plos.io/4cJFEa9
Diet induces sex-divergent motif enrichment in liver. Top: Correlation analysis of ATAC-seq peaks in male and female mice fed a WD. Dashed lines indicate 1.2-fold change. Middle left: Strategy for analysis of motifs by group. Roman numerals represent the peak groups selected for motif analysis, which were subsequently used in Fig 3D and 3E. Bottom right: Heatmap showing the relative level of peaks selected from Fig 3B, separated by group. Top single motif from each group enriched in the motifs analysis (motif families identified with HOMER).
Metabolic diseases are often influenced by #BiologicalSex. This study shows how sex and diet interact to shape molecular responses in the mouse #liver, revealing how gonadal & chromosomal sex influence diet-induced #transcriptomic & #chromatin dynamics @plosbiology.org 🧪 plos.io/4aP440z
Diet induces sex-divergent motif enrichment in liver. Top: Correlation analysis of ATAC-seq peaks in male and female mice fed a WD. Dashed lines indicate 1.2-fold change. Middle left: Strategy for analysis of motifs by group. Roman numerals represent the peak groups selected for motif analysis, which were subsequently used in Fig 3D and 3E. Bottom right: Heatmap showing the relative level of peaks selected from Fig 3B, separated by group. Top single motif from each group enriched in the motifs analysis (motif families identified with HOMER).
Metabolic diseases are often influenced by #BiologicalSex. This study shows how sex and diet interact to shape molecular responses in the mouse #liver, revealing how gonadal & chromosomal sex influence diet-induced #transcriptomic & #chromatin dynamics @plosbiology.org 🧪 plos.io/4aP440z
Diet induces sex-divergent motif enrichment in liver. Top: Correlation analysis of ATAC-seq peaks in male and female mice fed a WD. Dashed lines indicate 1.2-fold change. Middle left: Strategy for analysis of motifs by group. Roman numerals represent the peak groups selected for motif analysis, which were subsequently used in Fig 3D and 3E. Bottom right: Heatmap showing the relative level of peaks selected from Fig 3B, separated by group. Top single motif from each group enriched in the motifs analysis (motif families identified with HOMER).
Metabolic diseases are often influenced by #BiologicalSex. This study shows how sex and diet interact to shape molecular responses in the mouse #liver, revealing how gonadal & chromosomal sex influence diet-induced #transcriptomic & #chromatin dynamics @plosbiology.org 🧪 plos.io/4aP440z
By systematically curating published #transcriptomic datasets of aging mouse #macrophages, Ella tried to answer the question of whether #macrophage aging follows a common blueprint or shows sex- and niche-specific patterns. Intringuingly, niche was the strongest effect on aging trajectories. 2/4
[📰 Paper] GeARF5/GeIAA33-GeSWEET14 module balances the secondary metabolic biosynthesis to increase the yield and quality in 𝐺𝑎𝑠𝑡𝑟𝑜𝑑𝑖𝑎 𝑒𝑙𝑎𝑡𝑎
@cnrs-rhoneauvergne.bsky.social @vocspop.bsky.social
#paper #medicinalplant #science #biosynthesis #gastrodia #transcriptomic
#Transcriptomic #meta-analysis of #immunecells in #chronicpain conditions identified genes and sex-specific signatures in this new study from Perez & Tawflig
www.bjanaesthesia.org/article/S0007-0912(25)00...
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@chijing-leow.bsky.social
Life History-Dependent Brain #Transcriptomic Signatures in Nothobranchids: Insights into Aging, #Neurogenesis, and Life History #Evolution
in IOB (SICB’s OA journal)
Leow , et al , doi.org/10.1093/iob/...
Using #brain #genomic and #transcriptomic data from UK Biobank, Maya Sharma and Heather Wheeler identified genetic variation underlying #anxiety in diverse ancestral populations.
Learn more in #G3journal: buff.ly/MWQtn7Y
HSCT-64, a 64-gene #Transcriptomic #RiskModel enables #Diagnosis-time identification of pediatric #AML patients most likely to benefit from #Transplantation, providing a practical approach for #PersonalizedTreatment.
#OpenAccess: doi.org/10.1016/j.ge...
Curious about spatial omics and hands-on multi-omics analysis? 🧬
Explore spatial platforms, learn SPArrOW/Harpy & Cardinal, and discover multi-omics integration strategies at our summer school.
⏰ Deadline to register: 2nd February
#SpatialOmics #SpatialBiology #MultiOmics #Transcriptomic #Proteomics
Spatiotemporal molecular and cellular atlas of mouse PFC during postnatal development. Top left: UMAP of all cells in mouse PFC from scRNA-seq data, colored by cell subtypes. Im, immature. Top right: UMAP of all cells in mouse PFC from scRNA-seq data, colored by time stages. Bottom left: Spatial distribution of all cell subtypes in mouse PFC from P1 stereo-seq data. Bottom right: Spatial distribution of all cell subtypes in mouse PFC from adult stereo-seq data.
The #PrefrontalCortex is key for higher cognitive functions, but how do its circuits mature? This study provides a #transcriptomic resource for the mouse #PFC over 84 days of development, revealing cell population dynamics & expression of #psychiatric risk genes
@plosbiology.org 🧪 plos.io/45bhRLU
Spatiotemporal molecular and cellular atlas of mouse PFC during postnatal development. Top left: UMAP of all cells in mouse PFC from scRNA-seq data, colored by cell subtypes. Im, immature. Top right: UMAP of all cells in mouse PFC from scRNA-seq data, colored by time stages. Bottom left: Spatial distribution of all cell subtypes in mouse PFC from P1 stereo-seq data. Bottom right: Spatial distribution of all cell subtypes in mouse PFC from adult stereo-seq data.
The #PrefrontalCortex is key for higher cognitive functions, but how do its circuits mature? This study provides a #transcriptomic resource for the mouse #PFC over 84 days of development, revealing cell population dynamics & expression of #psychiatric risk genes
@plosbiology.org 🧪 plos.io/45bhRLU
Spatiotemporal molecular and cellular atlas of mouse PFC during postnatal development. Top left: UMAP of all cells in mouse PFC from scRNA-seq data, colored by cell subtypes. Im, immature. Top right: UMAP of all cells in mouse PFC from scRNA-seq data, colored by time stages. Bottom left: Spatial distribution of all cell subtypes in mouse PFC from P1 stereo-seq data. Bottom right: Spatial distribution of all cell subtypes in mouse PFC from adult stereo-seq data.
The #PrefrontalCortex is key for higher cognitive functions, but how do its circuits mature? This study provides a #transcriptomic resource for the mouse #PFC over 84 days of development, revealing cell population dynamics & expression of #psychiatric risk genes @plosbiology.org 🧪 plos.io/45bhRLU
Latest in #G3journal: #Transcriptomic analysis to understand transcriptional responses to dehydration in drought-tolerant oak from a local population in the Sierra Nevada Foothills in California identifies potential genes with relevance in #drought stress. buff.ly/sRuwnbl
The latest issue of #G3journal features a curated database of stress-responsive genes in maize across stressors from @annapardo-phd.bsky.social, @bobvanburen.bsky.social, and colleagues generated via meta-analysis of public #transcriptomic data.
Learn more about this resource here: buff.ly/znaNWQg
Following our Dec 5 article on #MMVD molecular profiling, Romain Capoulade’s editorial offers valuable perspective on the #transcriptomic, #miRNA, and machine-learning findings—and what they may mean for future therapies.
🗨️ Which insight do you find most impactful?
➡️ Read more: shorturl.at/UArNa
Single-cell spatiotemporal #transcriptomic and #chromatin accessibility profiling in #developing postnatal #human and #macaque prefrontal #cortex
doi.org/10.1038/s415...
This study presents a response regression model for analyzing #Transcriptomic data on #ViralInfection, which serves as a guiding principle to identify specific target host factors influenced by the #Pharmacological effects of host-targeted #Antivirals.
#OpenAccess: amm-journal.org/index.php/20...
💥 #Cool #Research #Alert
#Spatiotemporal #transcriptomic insights into #ferroptosis and TFRC-linked #immune #interactions in #ischemia-#reperfusion acute #kidney #injury
#Genes & #Immunity @springernature.com
www.nature.com/articles/s41...
A #transcriptomic study shows that single nucleotide polymorphisms in #6Pgdh - a metabolic gene involved in #sexualselection and conflict in bulb mite, Rhizoglyphus robini - can be associated with genome wide gene expression differences:
doi.org/10.1093/jeb/...
Plesnar-Bielak et al. 2025
☕The authors integrate single-cell #transcriptomic data with prior gene graphs to produce a biologically meaningful cell state manifold that can predict driver genes for #genetic perturbations and differentiation events across diverse cell types.
bit.ly/4nIarpI
Comparative #transcriptomic analysis of #Chinese #cabbage’s defense responses to #Alternaria brassicae
🥬https://doi.org/10.1016/j.jia.2025.06.024
✏️Prof. Baohua Li team from Northwest A&F University
🔗Chinese tweet shorturl.at/cxQiC
#horticulture #plantsci
Integrated #transcriptomic and metabolomic analyses reveal a novel mechanism of resistance to #Colletotrichum fructicola in #pear
🍐https://doi.org/10.1016/j.jia.2024.12.041
#horticulture #plantsci
