Transcriptome profiling of peripheral blood mononuclear cells from highly susceptible adult cattle infected with a virulent strain of Babesia bovis PubMed
Transcriptome profiling of peripheral blood mononuclear cells from highly susceptible adult cattle infected with a virulent strain of Babesia bovis
CONCLUSIONS: In this RNA-Seq analysis, we identified genes that are up- and downregulated in response to acute B. bovis infection. Gene expression of IL-10, along with that of the inflammatory cytokines IL-1β, TNFα and IL-18, suggests a non-protective response to B. bovis at 10 dpi. These results enhance our understanding of the molecular interactions between Babesia and the host immune system.
dlvr.it
December 17, 2025 at 2:13 AM
Transcriptome profiling of peripheral blood mononuclear cells from highly susceptible adult cattle infected with a virulent strain of Babesia bovis PubMed
Now do genome/transcriptome interpretation? Kthxbai.
December 17, 2025 at 12:05 AM
Now do genome/transcriptome interpretation? Kthxbai.
A convenient single-cell assay for the newly synthesized transcriptome reveals FLI1 regulon downregulation during T cell activation
A convenient single-cell assay for the newly synthesized transcriptome reveals FLI1 regulon downregulation during T cell activation
Lyu et al. present a convenient and accessible method for profiling of both regular and newly synthesized transcriptomes in single cells. Using this approach, they characterize the temporal dynamics of gene expression during T cell activation and identify FLI1 as a master transcription factor downregulated upon T cell stimulation.
dlvr.it
December 16, 2025 at 7:49 PM
A convenient single-cell assay for the newly synthesized transcriptome reveals FLI1 regulon downregulation during T cell activation
Linking the glycome and transcriptome at the single cell level #glycotime
Online now! Online now! Single-cell glycome and transcriptome profiling enabled by a library of anti-glycan antibodies #chembiol
Single-cell glycome and transcriptome profiling enabled by a library of anti-glycan antibodies
Marglous et al. generated a database of anti-glycan antibody sequences, expressed and characterized a library of 154 antibodies, and generated DNA-barcoded antibodies for single-cell transcriptome and glycome profiling. Glycans associated with cancer stem cells and metastasis were uncovered, demonstrating utility for basic and clinical research.
dlvr.it
December 15, 2025 at 4:54 PM
Linking the glycome and transcriptome at the single cell level #glycotime
Online now! Online now! Single-cell glycome and transcriptome profiling enabled by a library of anti-glycan antibodies #chembiol
Single-cell glycome and transcriptome profiling enabled by a library of anti-glycan antibodies
Marglous et al. generated a database of anti-glycan antibody sequences, expressed and characterized a library of 154 antibodies, and generated DNA-barcoded antibodies for single-cell transcriptome and glycome profiling. Glycans associated with cancer stem cells and metastasis were uncovered, demonstrating utility for basic and clinical research.
dlvr.it
December 15, 2025 at 4:30 PM
Online now! Online now! Single-cell glycome and transcriptome profiling enabled by a library of anti-glycan antibodies #chembiol
Transcriptome-metabolome and anatomy conjoint analysis of vital component change of #photosynthesis in #foxtail millet under different #drought conditions
✅https://doi.org/10.1016/j.jia.2024.04.001
#agronomy
✅https://doi.org/10.1016/j.jia.2024.04.001
#agronomy
December 15, 2025 at 12:22 PM
Transcriptome-metabolome and anatomy conjoint analysis of vital component change of #photosynthesis in #foxtail millet under different #drought conditions
✅https://doi.org/10.1016/j.jia.2024.04.001
#agronomy
✅https://doi.org/10.1016/j.jia.2024.04.001
#agronomy
Root Systems Biology
15:40-16:05: Marc Libault (Uni of Missouri) “Defining Cell Type and Cell State: What did we learn from the Soybean Single-Cell Transcriptome Atlas?"
15:40-16:05: Marc Libault (Uni of Missouri) “Defining Cell Type and Cell State: What did we learn from the Soybean Single-Cell Transcriptome Atlas?"
December 15, 2025 at 9:25 AM
Root Systems Biology
15:40-16:05: Marc Libault (Uni of Missouri) “Defining Cell Type and Cell State: What did we learn from the Soybean Single-Cell Transcriptome Atlas?"
15:40-16:05: Marc Libault (Uni of Missouri) “Defining Cell Type and Cell State: What did we learn from the Soybean Single-Cell Transcriptome Atlas?"
Thank you to the applicants of our APAC Visium HD 3' Art Gallery: Canvas of Life's Spatial Beauty program! We’re excited to present these amazing submissions from Charles Perkins Centre, @sydney.edu.au and University of Otago, showcasing whole transcriptome coverage of the samples used!
December 15, 2025 at 2:53 AM
Thank you to the applicants of our APAC Visium HD 3' Art Gallery: Canvas of Life's Spatial Beauty program! We’re excited to present these amazing submissions from Charles Perkins Centre, @sydney.edu.au and University of Otago, showcasing whole transcriptome coverage of the samples used!
Integrative Analysis of Spatial Transcriptome and Connectome by SpaCon #SingleCell 🧪🧬🖥️
https://www.biorxiv.org/content/10.64898/2025.12.11.693415v1
https://www.biorxiv.org/content/10.64898/2025.12.11.693415v1
December 14, 2025 at 8:00 AM
Integrative Analysis of Spatial Transcriptome and Connectome by SpaCon #SingleCell 🧪🧬🖥️
https://www.biorxiv.org/content/10.64898/2025.12.11.693415v1
https://www.biorxiv.org/content/10.64898/2025.12.11.693415v1
Integrative Analysis of Spatial Transcriptome and Connectome by SpaCon https://www.biorxiv.org/content/10.64898/2025.12.11.693415v1
December 14, 2025 at 6:15 AM
Integrative Analysis of Spatial Transcriptome and Connectome by SpaCon https://www.biorxiv.org/content/10.64898/2025.12.11.693415v1
Integrative Analysis of Spatial Transcriptome and Connectome by SpaCon https://www.biorxiv.org/content/10.64898/2025.12.11.693415v1
December 14, 2025 at 6:15 AM
Integrative Analysis of Spatial Transcriptome and Connectome by SpaCon https://www.biorxiv.org/content/10.64898/2025.12.11.693415v1
Skeletal Muscle Methylome-Transcriptome Disruptions During the Onset and Progression of Colorectal Cancer-Induced Cachexia
journals.physiology.org/doi/abs/10.1...
journals.physiology.org/doi/abs/10.1...
Skeletal Muscle Methylome-Transcriptome Disruptions During the Onset and Progression of Colorectal Cancer-Induced Cachexia | American Journal of Physiology-Cell Physiology | American Physiological Soc...
Cancer cachexia is a wasting condition, primarily affecting skeletal muscle, impairing patients’ quality of life, prognosis, and survival. The molecular triggers are incompletely defined but given pri...
journals.physiology.org
December 13, 2025 at 10:00 PM
Skeletal Muscle Methylome-Transcriptome Disruptions During the Onset and Progression of Colorectal Cancer-Induced Cachexia
journals.physiology.org/doi/abs/10.1...
journals.physiology.org/doi/abs/10.1...
Dear #spatial #transcriptome scientists, what would be an R based package/pipeline/function suggestion of yours regarding cell/trx niche determination after RCTD deconvolution?
December 12, 2025 at 7:19 PM
Dear #spatial #transcriptome scientists, what would be an R based package/pipeline/function suggestion of yours regarding cell/trx niche determination after RCTD deconvolution?
Here, we show that overexpression of AluJb, a transposition-incompetent SINE, in human fibroblasts, leads to profound remodeling of transcriptome, proteome and secretome. Intriguingly, many AluJb-regulated pathways correspond to aging hallmarks (i.e. mitochondria, proteostasis, self-renewal). 2/4
December 12, 2025 at 2:32 PM
Here, we show that overexpression of AluJb, a transposition-incompetent SINE, in human fibroblasts, leads to profound remodeling of transcriptome, proteome and secretome. Intriguingly, many AluJb-regulated pathways correspond to aging hallmarks (i.e. mitochondria, proteostasis, self-renewal). 2/4
Machine perfusion and single-cell spatial transcriptome mapping identifies novel immune escape mechanisms in colorectal cancer liver metastasis https://www.biorxiv.org/content/10.64898/2025.12.09.693114v1
December 11, 2025 at 7:48 PM
Machine perfusion and single-cell spatial transcriptome mapping identifies novel immune escape mechanisms in colorectal cancer liver metastasis https://www.biorxiv.org/content/10.64898/2025.12.09.693114v1
Machine perfusion and single-cell spatial transcriptome mapping identifies novel immune escape mechanisms in colorectal cancer liver metastasis https://www.biorxiv.org/content/10.64898/2025.12.09.693114v1
December 11, 2025 at 7:48 PM
Machine perfusion and single-cell spatial transcriptome mapping identifies novel immune escape mechanisms in colorectal cancer liver metastasis https://www.biorxiv.org/content/10.64898/2025.12.09.693114v1
Single-cell glycome and transcriptome profiling enabled by a library of anti-glycan antibodies
www.cell.com/cell-chemica...
@cp-cellchembiol.bsky.social
www.cell.com/cell-chemica...
@cp-cellchembiol.bsky.social
December 11, 2025 at 2:29 AM
Single-cell glycome and transcriptome profiling enabled by a library of anti-glycan antibodies
www.cell.com/cell-chemica...
@cp-cellchembiol.bsky.social
www.cell.com/cell-chemica...
@cp-cellchembiol.bsky.social
In this study, scientists utilized androgenetic, parthenogenetic, and biparental hESCs and their neural derivatives to identify novel imprinted genes by analyzing their methylome and transcriptome profiles.
📖 Read more: https://bit.ly/452mvvr
📖 Read more: https://bit.ly/452mvvr
December 10, 2025 at 8:47 PM
In this study, scientists utilized androgenetic, parthenogenetic, and biparental hESCs and their neural derivatives to identify novel imprinted genes by analyzing their methylome and transcriptome profiles.
📖 Read more: https://bit.ly/452mvvr
📖 Read more: https://bit.ly/452mvvr
Researchers use partitioned local depth (PaLD) to search for patterns within time series transcriptome data
academic.oup.com/insilicoplan...
#Arabidopsis #GRN #PlantScience
academic.oup.com/insilicoplan...
#Arabidopsis #GRN #PlantScience
December 10, 2025 at 4:10 PM
Researchers use partitioned local depth (PaLD) to search for patterns within time series transcriptome data
academic.oup.com/insilicoplan...
#Arabidopsis #GRN #PlantScience
academic.oup.com/insilicoplan...
#Arabidopsis #GRN #PlantScience
Although synaptic mRNAs represent only a fraction of the templates for the synaptic proteome - with many templates residing in the soma or in non-synaptic regions of dendrites and axons - the synaptic transcriptome reflects the synapse diversity captured by the proteome equally well.
December 10, 2025 at 1:07 PM
Although synaptic mRNAs represent only a fraction of the templates for the synaptic proteome - with many templates residing in the soma or in non-synaptic regions of dendrites and axons - the synaptic transcriptome reflects the synapse diversity captured by the proteome equally well.
Integrating transcriptome and proteome data, we identified ~90 genes with significantly correlated RNA-protein ratios across regions, involved in synaptic vesicle dynamics, receptor signaling, & calcium regulation, suggesting a key role for local protein synthesis in maintaining protein copy number.
December 10, 2025 at 1:07 PM
Integrating transcriptome and proteome data, we identified ~90 genes with significantly correlated RNA-protein ratios across regions, involved in synaptic vesicle dynamics, receptor signaling, & calcium regulation, suggesting a key role for local protein synthesis in maintaining protein copy number.
Chemical synapses across the brain are highly diverse and it is well established that this manifests at the molecular level. Previous work has primarily focused on the proteome, but here we extend this view and describe another layer of synapse diversity – synaptic transcriptome diversity.
December 10, 2025 at 1:07 PM
Chemical synapses across the brain are highly diverse and it is well established that this manifests at the molecular level. Previous work has primarily focused on the proteome, but here we extend this view and describe another layer of synapse diversity – synaptic transcriptome diversity.
The quantitative genetics approach allowed us to predict evolutionary changes in gene expression at the whole transcriptome level.
With experimental evolution of replicated lines in a stressful hot and dry environment, we could verify that gene expression evolved as predicted after 20 generations.
With experimental evolution of replicated lines in a stressful hot and dry environment, we could verify that gene expression evolved as predicted after 20 generations.
December 10, 2025 at 10:06 AM
The quantitative genetics approach allowed us to predict evolutionary changes in gene expression at the whole transcriptome level.
With experimental evolution of replicated lines in a stressful hot and dry environment, we could verify that gene expression evolved as predicted after 20 generations.
With experimental evolution of replicated lines in a stressful hot and dry environment, we could verify that gene expression evolved as predicted after 20 generations.
In #Microbiome
🦠Host genes and keystone microbes linked to wilt tolerance in olive trees
🚨Presenting a novel framework combining co-occurrence network analyses and transcriptome-microbiota correlations
Read more 👉 doi.org/qf63 #OpenAccess
🦠Host genes and keystone microbes linked to wilt tolerance in olive trees
🚨Presenting a novel framework combining co-occurrence network analyses and transcriptome-microbiota correlations
Read more 👉 doi.org/qf63 #OpenAccess
December 10, 2025 at 9:42 AM
In #Microbiome
🦠Host genes and keystone microbes linked to wilt tolerance in olive trees
🚨Presenting a novel framework combining co-occurrence network analyses and transcriptome-microbiota correlations
Read more 👉 doi.org/qf63 #OpenAccess
🦠Host genes and keystone microbes linked to wilt tolerance in olive trees
🚨Presenting a novel framework combining co-occurrence network analyses and transcriptome-microbiota correlations
Read more 👉 doi.org/qf63 #OpenAccess
Integration of single-cell transcriptome and genetic profiles reveals critical cell types and genes in inflammatory bowel disease #SingleCell 🧪🧬🖥️
https://www.biorxiv.org/content/10.64898/2025.12.06.692714v1
https://www.biorxiv.org/content/10.64898/2025.12.06.692714v1
December 10, 2025 at 8:00 AM
Integration of single-cell transcriptome and genetic profiles reveals critical cell types and genes in inflammatory bowel disease #SingleCell 🧪🧬🖥️
https://www.biorxiv.org/content/10.64898/2025.12.06.692714v1
https://www.biorxiv.org/content/10.64898/2025.12.06.692714v1