Bacterial single-cell RNA sequencing captures biofilm transcriptional heterogeneity and differential responses to immune pressure
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
1 Online-Ressource.
- Language
-
Englisch
- Bibliographic citation
-
Bacterial single-cell RNA sequencing captures biofilm transcriptional heterogeneity and differential responses to immune pressure ; volume:15 ; number:1 ; day:24 ; month:11 ; year:2024 ; pages:1-25 ; date:12.2024
Nature Communications ; 15, Heft 1 (24.11.2024), 1-25, 12.2024
- Creator
-
Korshoj, Lee E.
Kielian, Tammy
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1038/s41467-024-54581-8
- URN
-
urn:nbn:de:101:1-2502092151376.955470578372
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:24 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Korshoj, Lee E.
- Kielian, Tammy
- SpringerLink (Online service)
Other Objects (12)
Direct comparison of spatial transcriptional heterogeneity across diverse Bacillus subtilis biofilm communities
Captures
Single-cell mRNA profiling reveals transcriptional heterogeneity among pancreatic circulating tumour cells
Miscellaneous captures
Multitemporal lidar captures heterogeneity in fuel loads and consumption on the Kaibab Plateau
Reliable Identification and Interpretation of Single‐Cell Molecular Heterogeneity and Transcriptional Regulation using Dynamic Ensemble Pruning
Normative modelling of molecular-based functional circuits captures clinical heterogeneity transdiagnostically in psychiatric patients
Microglia heterogeneity in the single-cell era
Single-cell transcriptomics captures features of human midbrain development and dopamine neuron diversity in brain organoids
La Victoire Americaine.- Captures totales
Single-cell epigenomic variability reveals functional cancer heterogeneity
vmrseq: probabilistic modeling of single-cell methylation heterogeneity
Direct comparison of spatial transcriptional heterogeneity across diverse Bacillus subtilis biofilm communities
Captures
Single-cell mRNA profiling reveals transcriptional heterogeneity among pancreatic circulating tumour cells
Miscellaneous captures
Multitemporal lidar captures heterogeneity in fuel loads and consumption on the Kaibab Plateau
Reliable Identification and Interpretation of Single‐Cell Molecular Heterogeneity and Transcriptional Regulation using Dynamic Ensemble Pruning
Normative modelling of molecular-based functional circuits captures clinical heterogeneity transdiagnostically in psychiatric patients
Microglia heterogeneity in the single-cell era
Single-cell transcriptomics captures features of human midbrain development and dopamine neuron diversity in brain organoids
La Victoire Americaine.- Captures totales
Single-cell epigenomic variability reveals functional cancer heterogeneity
vmrseq: probabilistic modeling of single-cell methylation heterogeneity
Direct comparison of spatial transcriptional heterogeneity across diverse Bacillus subtilis biofilm communities
Captures
Single-cell mRNA profiling reveals transcriptional heterogeneity among pancreatic circulating tumour cells
Miscellaneous captures
Multitemporal lidar captures heterogeneity in fuel loads and consumption on the Kaibab Plateau
Reliable Identification and Interpretation of Single‐Cell Molecular Heterogeneity and Transcriptional Regulation using Dynamic Ensemble Pruning
Normative modelling of molecular-based functional circuits captures clinical heterogeneity transdiagnostically in psychiatric patients
Microglia heterogeneity in the single-cell era
Single-cell transcriptomics captures features of human midbrain development and dopamine neuron diversity in brain organoids
La Victoire Americaine.- Captures totales
Single-cell epigenomic variability reveals functional cancer heterogeneity