• Suche: "transcriptomics"

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Systems analysis of clinical malaria reveals proteomic perturbation and innate-adaptive crosstalk linked to disease severity
Lautenbach, Maximilian Julius ; Wyss, Katja ; Yman, Victor ; et al.
Immunity. 58(8):2120-2136

P. falciparum biomarker malaria multiomics proteomics proximity extension assa... …
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2

A low-level Cdkn1c/p57kip2 expression in spinal progenitors drives the transition from proliferative to neurogenic modes of division
Mida, Baptiste ; Lehmann, Nathalie ; Goïame, Rosette ; et al.
EMBO Reports, 2025, ⟨10.1038/s44319-025-00653-9⟩

Neuroscience Singlecell Transcriptomi... Cdkn1c Modes of Division Cell Cycle Neurogenesis …
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3

Summary of Research: Blood Biomarker Dynamics in People with Relapsing Multiple Sclerosis Treated with Cladribine Tablets: Results of the 2-Year MAGNIFY-MS Study.
Wiendl, H. ; Barkhof, F. ; Montalban, X. ; et al.
Neurology and Therapy. 14(5):1743-1746

Immune reconstitution th... Immunophenotyping Transcriptomics Biomarkers Cladribine tablets Multiple sclerosis …
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4

Protist genomics: key to understanding eukaryotic evolution
Schoenle, Alexandra ; Francis, Ore ; Archibald, John, M ; et al.
Trends in Genetics. 41(10):868-882

protists single-cell sequencing metagenomics reference genome standar... transcriptomics [SDV]Life Sciences [q-bi...
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5

Parasite prevalence in a social host has colony-wide impacts on transcriptional activity and survival
Sistermans, Tom ; Darras, Hugo ; Ronget, Victor ; et al.
Evolution - International Journal of Organic Evolution. 79(9):1862-1875

parasite prevalence parasite ecology cestode social insect transcriptomics [SDV]Life Sciences [q-bi... …
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6

Uncovering Biomarkers in Pre-symptomatic Huntington's Disease Through Machine Learning
Feyzi, Solène, Shiva ; Rojas Velazquez, David ; Kidwai, Sarah ; et al.
FIGON Dutch Medicine Days DMD, Oct 2025, Leiden, Netherlands

Leiden, Netherlands Machine learning Recursive Ensemble Featu... HD Pre-symtomatic Transcriptomics …
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7

STHELAR, a multi-tissue dataset linking spatial transcriptomics and histology for cell type annotation
Giraud-Sauveur, Félicie ; Blampey, Quentin ; Benkirane, Hakim ; et al.

Cell type annotation Tumor micro environment Computer vision Cancer Spatial Transcriptomics Whole slide images …
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8

Daily intermittent fasting is an effective multiscale treatment in preclinical models of absence epilepsy
Rulhe, Coline ; Thirard, Steeve ; Aparicio Arias, Juri ; et al.
Epilepsia, 2025, ⟨10.1111/epi.18704⟩

transcriptomics thalamus seizures physiology blood vessels [SCCO.NEUR]Cognitive sci... …
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9

Fast and furious: metabolic pathways fuelling Devil facial tumour disease
Gérard, Anne-Lise ; Pirard, Florence ; Vanbeek, Caitlin ; et al.

Cholesterol biosynthesis Pathway enrichment Transcriptomics Transmissible cancer Tasmanian devil MESH: Reactive Oxygen Sp... …
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10

Gene expression cartography of a developing neuronal structure
Tadini, Leonardo ; Younsi, Lilia ; Holguera, Isabel ; et al.

spatial transcriptomics Drosophila optic lobe Novosparc single-cell mRNA sequenc... neurodevelopmental 3D-at... developing nervous syste... …
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11

Mast cells act as pro-angiogenic and pro-tumorigenic players in pituitary gonadotroph tumors
Ilie, Mirela-Diana ; Flores-Martínez, Álvaro ; Chanal, Marie ; et al.
Neuro-Oncology, 2025, ⟨10.1093/neuonc/noaf241⟩

mast cells tumor microen... mast cells tumor microenvironment (... gonadotroph adenomas single-cell transcriptom... spatial transcriptomics …
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12

jsPCA: fast, scalable, and interpretable identification of spatial domains and variable genes across multi-slice and multi-sample spatial transcriptomics data
Assali, Ines ; Escande, Paul ; Villoutreix, Paul ; et al.

Spatial transcriptomics... Spatial transcriptomics Spatial statistics Machine learning Spatial Domains Spatially Variable Genes …
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13

RNA2seg: a generalist model for cell segmentation in image-based spatial transcriptomics
Defard, Thomas ; Blondel, Alice ; Bellow, Sebastien ; et al.

Spatial Transcriptomics... Spatial Transcriptomics Cell Segmentation Deep Learning [INFO.INFO-CV]Computer S... Computer Vision and Patt... …
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14

Phylogenomics of neglected flagellated protists supports a revised eukaryotic tree of life
Torruella, Guifré ; Galindo, Luis Javier ; Moreira, David ; et al.
Current Biology. 35(1):198-207

RNAseq transcriptomics phylogenomics Meteora free-living flagellate apusomonad …
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15

Deciphering seed development and germination in the single-cell era
Schouveiler, Paul ; Liew, Lim, Chee ; Corso, Massimiliano ; et al.
Seed Science Research. 35(1):9-18

Arabidopsis thaliana multi-omics integration seed development seed germination transcriptomics singlecell technologies …
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16

Batch Effect Correction in a Confounded Scenario: a Case Study on Gene Expression of Chornobyl Tree Frogs
Goujon, Elen ; Armant, Olivier ; Car, Clément ; et al.
CMSB2024 - 22nd International Conference of Computational Methods in Systems Biology. :89-107

Pisa (Italy), Italy Confounding factors Chornobyl tree frogs Transcriptomics Batch effect-correction... Low-dose radiation …
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17

adverSCarial: a toolkit for exposing classifier vulnerabilities in single-cell transcriptomics
Fievet, Ghislain ; Broséus, Julien ; Meyre, David ; et al.
ISMB/ECCB2025, Jul 2025, Liverpool, United Kingdom

Liverpool, United Kingdo... Single-cell transcriptom... XAI Explainable AI scRNA-seq single-cell RN... ML Machine Learning R Bioconductor …
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18

Multi-omics data integration in constraint-based modeling of metabolic networks to study the metabolism of adipose-derived stem cells
Stingl, Maximilian ; Cooke, Juliette ; Gering, Julie ; et al.

Bordeaux & Online, Franc... Metabolomics Transcriptomics Constraint-based modelin... Metabolic networks [INFO.INFO-BI]Computer S... …
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19

Cell-free genome-wide transcriptomics through machine learning optimization
Wagner, Léa ; Hoang, An ; Rue, Olivier ; et al.
SEED 2025, Jun 2025, Houston, United States

Houston, United States Cell-free Escherichia coli Phage T7 Active learning Machine learning …
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20

mRNA and genome expression in cell-free systems
Borkowski, Olivier ; MICrobiologie de l'ALImentation au Service de la Santé (MICALIS) ; AgroParisTech-Université Paris-Saclay-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE) ; et al.
2025 Synthetic Biology: Engineering, Evolution, & Design (SEED), Jun 2025, Houston, United States

Houston, United States 'Cell-free transcriptomics Active learning Genome T7 bacteriophage …
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