#cellphonedb search results
#CellPhoneDB: inferring cell–cell communication from combined expression of multi-subunit ligand–receptor complexes Python "a practical step-by-step guide"😎 bring back the website data portal, pls🙏 @mirjana_e @roserventotormo @NatureProtocols 2020 nature.com/articles/s4159…
We then use #CellphoneDB to find the interacting mesenchymal and smooth muscle cells that tell uniform progenitors to transition to villi. So much chatter going on between these cells!
Pacemaker Cell firing 🕰 is spontaneous and tightly controlled🎛. P cell ion channel & GPCR profiles support this and show differences vs 🐭. We made a #CellPhoneDB module (>1k new L-R pairs) showing synapse-like interactions with glial cells enriched in their nodal niche. 4/n
To ‘share and share alike’ – In this blog, @roserventotormo @sangerinstitute, explains why #CellPhoneDB, a friendly #OpenSource platform, is good for #DataSharing & collaborations, encouraging others to share their own cell interactions on the database blog.wellcomeopenresearch.org/2020/07/17/to-…
News &Views discussing the latest implementation of the computational tool #CellPhoneDB for inferring #cellcellcommunication from #singlecelldata bit.ly/42gSmXi
#NewNProt: Protocol Update of #CellPhoneDB, describing an expanded database of molecular interactors and new approaches to infer, prioritise and visualise the results bit.ly/4lbG2Af and see associated News & Views article
nature.com
CellPhoneDB v5: inferring cell–cell communication from single-cell multiomics data
Nature Protocols - CellPhoneDB combines a curated database of receptor–ligand interactions with methods to infer cell–cell communication from single-cell expression data. This protocol...
And to my knowledge, the first time #CellPhoneDB is used in a mouse data set @roserventotormo?
What a fantastic article and resource! Congratulations @roserventotormo and colleagues #CellPhoneDB : #cell–cell communication #scRNAseq nature.com/articles/s4159…
nature.com
CellPhoneDB: inferring cell–cell communication from combined expression of multi-subunit ligand–r...
Nature Protocols - CellPhoneDB combines an interactive database and a statistical framework for the exploration of ligand–receptor interactions inferred from single-cell transcriptomics...
‘Share & share alike’ - @roserventotormo @sangerinstitute, explains why #CellPhoneDB, a friendly #OpenSource platform, is good for #DataSharing & collaborations, & discusses the benefits of #OpenData for exploring new research angles @teichlab #ECROpenData blog.wellcomeopenresearch.org/2020/07/17/to-…
#SingleCellSequencing session! 🥳 1st: Approaches to study cell-cell interaction in #SingleCell. Henderson lab @EdinUni_MeetCIR uses #CellPhoneDB followed by human curation. Good but focused on what's already known. #SpatialTranscriptomics is cool but spots have many cells...
Resources include #CellPhoneDB (@roserventotormo @mirjana_e), #MatrisomeDB, #Adhesome, #Surfaceome, receptome.org, wlab.ethz.ch/cspa/, #Membranome, #MatrixDB, Locate, #ComPPI, Gene Ontology @news4go, @DGI_db, Ramilowski2015, Kirouac2010, Zhong2015, @GuidetoPHARM
News &Views discussing the latest implementation of the computational tool #CellPhoneDB for inferring #cellcellcommunication from #singlecelldata bit.ly/42gSmXi
#NewNProt: Protocol Update of #CellPhoneDB, describing an expanded database of molecular interactors and new approaches to infer, prioritise and visualise the results bit.ly/4lbG2Af and see associated News & Views article
nature.com
CellPhoneDB v5: inferring cell–cell communication from single-cell multiomics data
Nature Protocols - CellPhoneDB combines a curated database of receptor–ligand interactions with methods to infer cell–cell communication from single-cell expression data. This protocol...
Pacemaker Cell firing 🕰 is spontaneous and tightly controlled🎛. P cell ion channel & GPCR profiles support this and show differences vs 🐭. We made a #CellPhoneDB module (>1k new L-R pairs) showing synapse-like interactions with glial cells enriched in their nodal niche. 4/n
#CellPhoneDB: inferring cell–cell communication from combined expression of multi-subunit ligand–receptor complexes Python "a practical step-by-step guide"😎 bring back the website data portal, pls🙏 @mirjana_e @roserventotormo @NatureProtocols 2020 nature.com/articles/s4159…
We then use #CellphoneDB to find the interacting mesenchymal and smooth muscle cells that tell uniform progenitors to transition to villi. So much chatter going on between these cells!
#SingleCellSequencing session! 🥳 1st: Approaches to study cell-cell interaction in #SingleCell. Henderson lab @EdinUni_MeetCIR uses #CellPhoneDB followed by human curation. Good but focused on what's already known. #SpatialTranscriptomics is cool but spots have many cells...
‘Share & share alike’ - @roserventotormo @sangerinstitute, explains why #CellPhoneDB, a friendly #OpenSource platform, is good for #DataSharing & collaborations, & discusses the benefits of #OpenData for exploring new research angles @teichlab #ECROpenData blog.wellcomeopenresearch.org/2020/07/17/to-…
To ‘share and share alike’ – In this blog, @roserventotormo @sangerinstitute, explains why #CellPhoneDB, a friendly #OpenSource platform, is good for #DataSharing & collaborations, encouraging others to share their own cell interactions on the database blog.wellcomeopenresearch.org/2020/07/17/to-…
And to my knowledge, the first time #CellPhoneDB is used in a mouse data set @roserventotormo?
What a fantastic article and resource! Congratulations @roserventotormo and colleagues #CellPhoneDB : #cell–cell communication #scRNAseq nature.com/articles/s4159…
nature.com
CellPhoneDB: inferring cell–cell communication from combined expression of multi-subunit ligand–r...
Nature Protocols - CellPhoneDB combines an interactive database and a statistical framework for the exploration of ligand–receptor interactions inferred from single-cell transcriptomics...
Resources include #CellPhoneDB (@roserventotormo @mirjana_e), #MatrisomeDB, #Adhesome, #Surfaceome, receptome.org, wlab.ethz.ch/cspa/, #Membranome, #MatrixDB, Locate, #ComPPI, Gene Ontology @news4go, @DGI_db, Ramilowski2015, Kirouac2010, Zhong2015, @GuidetoPHARM
#CellPhoneDB: inferring cell–cell communication from combined expression of multi-subunit ligand–receptor complexes Python "a practical step-by-step guide"😎 bring back the website data portal, pls🙏 @mirjana_e @roserventotormo @NatureProtocols 2020 nature.com/articles/s4159…
We then use #CellphoneDB to find the interacting mesenchymal and smooth muscle cells that tell uniform progenitors to transition to villi. So much chatter going on between these cells!
To ‘share and share alike’ – In this blog, @roserventotormo @sangerinstitute, explains why #CellPhoneDB, a friendly #OpenSource platform, is good for #DataSharing & collaborations, encouraging others to share their own cell interactions on the database blog.wellcomeopenresearch.org/2020/07/17/to-…
Pacemaker Cell firing 🕰 is spontaneous and tightly controlled🎛. P cell ion channel & GPCR profiles support this and show differences vs 🐭. We made a #CellPhoneDB module (>1k new L-R pairs) showing synapse-like interactions with glial cells enriched in their nodal niche. 4/n
‘Share & share alike’ - @roserventotormo @sangerinstitute, explains why #CellPhoneDB, a friendly #OpenSource platform, is good for #DataSharing & collaborations, & discusses the benefits of #OpenData for exploring new research angles @teichlab #ECROpenData blog.wellcomeopenresearch.org/2020/07/17/to-…
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