Publication:
High-Content Quantification of Single-Cell Immune Dynamics

dc.contributor.authorJunkin, Michael
dc.contributor.authorKaestli, Alicia J.
dc.contributor.authorCheng, Zhang
dc.contributor.authorJordi, Christian
dc.contributor.authorAlbayrak, CEM
dc.contributor.authorHoffmann, Alexander
dc.contributor.authorTay, Savas
dc.contributor.institutionauthorALBAYRAK, CEM
dc.date.accessioned2021-05-17T20:59:10Z
dc.date.available2021-05-17T20:59:10Z
dc.date.issued2016-04-01T00:00:00Z
dc.description.abstractCells receive time-varying signals from the environment and generate functional responses by secreting their own signaling molecules. Characterizing dynamic input-output relationships in single cells is crucial for understanding and modeling cellular systems. We developed an automated microfluidic system that delivers precisely defined dynamical inputs to individual living cells and simultaneously measures key immune parameters dynamically. Our system combines nanoliter immunoassays, microfluidic input generation, and time-lapse microscopy, enabling study of previously untestable aspects of immunity by measuring time-dependent cytokine secretion and transcription factor activity from single cells stimulated with dynamic inflammatory inputs. Employing this system to analyze macrophage signal processing under pathogen inputs, we found that the dynamics of TNF secretion are highly heterogeneous and surprisingly uncorrelated with the dynamics of NF-kappa B, the transcription factor controlling TNF production. Computational modeling of the LPS/TLR4 pathway shows that post-transcriptional regulation by TRIF is a key determinant of noisy and uncorrelated TNF secretion dynamics in single macrophages.
dc.identifier.citationJunkin M., Kaestli A. J. , Cheng Z., Jordi C., Albayrak C., Hoffmann A., Tay S., -High-Content Quantification of Single-Cell Immune Dynamics-, CELL REPORTS, cilt.15, sa.2, ss.411-422, 2016
dc.identifier.doi10.1016/j.celrep.2016.03.033
dc.identifier.scopus84962052850
dc.identifier.urihttp://hdl.handle.net/20.500.12645/28883
dc.identifier.wosWOS:000374236900018
dc.rightsinfo:eu-repo/semantics/openAccess
dc.titleHigh-Content Quantification of Single-Cell Immune Dynamics
dc.typeArticle
dspace.entity.typePublication
local.avesis.id86a651a2-4639-4ce0-a573-3b3eba994ae7
local.publication.goal08 - İnsana Yakışır İş ve Ekonomik Büyüme
local.publication.isinternational1
relation.isAuthorOfPublicationced2804c-b9e5-4f25-9926-74404ade4f49
relation.isAuthorOfPublication.latestForDiscoveryced2804c-b9e5-4f25-9926-74404ade4f49
relation.isGoalOfPublication42dc4679-bf07-41ff-b435-3ecfdcf74555
relation.isGoalOfPublication.latestForDiscovery42dc4679-bf07-41ff-b435-3ecfdcf74555
Files
Collections