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10.1186/s13059-016-0957-5 http://scihub22266oqcxt.onion/10.1186/s13059-016-0957-5 C4866375!4866375!27176874     free     free     free Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 267.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 267.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 267.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\27176874.jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       Genome+Biol 2016 ; 17 (ä): ä Nephropedia Template TP {{tp|p=27176874|t=2016. Single-cell analysis of CD4+ T-cell differentiation reveals three major cell states and progressive acceleration of proliferation |pdf=|usr=}}{{27176874}} gab.com Text Single-cell analysis of CD4+ T-cell differentiation reveals three major cell states and progressive acceleration of proliferation JO: Genome Biol http://www.kidney.de/pget.php?&tw=1&pmid=27176874 #FOAvip Background: Differentiation of lymphocytes is frequently accompanied by cell cycle changes, interplay that is of central importance for immunity but is still incompletely understood. Here, we interrogate and quantitatively model how proliferation is linked to differentiation in CD4+ T cells. Results: We perform ex vivo single-cell RNA-sequencing of CD4+ T cells during a mouse model of infection that elicits a type 2 immune response and infer that the differentiated, cytokine-producing cells cycle faster than early activated precursor cells. To dissect this phenomenon quantitatively, we determine expression profiles across consecutive generations of differentiated and undifferentiated cells during Th2 polarization in vitro. We predict three discrete cell states, which we verify by single-cell quantitative PCR. Based on these three states, we extract rates of death, division and differentiation with a branching state Markov model to describe the cell population dynamics. From this multi-scale modelling, we infer a significant acceleration in proliferation from the intermediate activated cell state to the mature cytokine-secreting effector state. We confirm this acceleration both by live imaging of single Th2 cells and in an ex vivo Th1 malaria model by single-cell RNA-sequencing. Conclusion: The link between cytokine secretion and proliferation rate holds both in Th1 and Th2 cells in vivo and in vitro, indicating that this is likely a general phenomenon in adaptive immunity. Electronic supplementary material: The online version of this article (doi:10.1186/s13059-016-0957-5) contains supplementary material, which is available to authorized users. Twit Text FOAVip Single-cell analysis of CD4+ T-cell differentiation reveals three major cell states and progressive acceleration of proliferation ????Genome Biol http://www.kidney.de/pget.php?&tw=1&pmid=27176874 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=27176874 #FOAvip English Wikipedia <ref>{{Cite pmid|27176874}}</ref> Single-cell analysis of CD4+ T-cell differentiation reveals three major cell states and progressive acceleration of proliferation #MMPMID27176874 Proserpio V; Piccolo A; Haim-Vilmovsky L; Kar G; Lönnberg T; Svensson V; Pramanik J; Natarajan KN; Zhai W; Zhang X; Donati G; Kayikci M; Kotar J; McKenzie ANJ; Montandon R; Billker O; Woodhouse S; Cicuta P; Nicodemi M; Teichmann SA Genome Biol 2016[]; 17 (ä): ä PMID27176874show ga Background: Differentiation of lymphocytes is frequently accompanied by cell cycle changes, interplay that is of central importance for immunity but is still incompletely understood. Here, we interrogate and quantitatively model how proliferation is linked to differentiation in CD4+ T cells. Results: We perform ex vivo single-cell RNA-sequencing of CD4+ T cells during a mouse model of infection that elicits a type 2 immune response and infer that the differentiated, cytokine-producing cells cycle faster than early activated precursor cells. To dissect this phenomenon quantitatively, we determine expression profiles across consecutive generations of differentiated and undifferentiated cells during Th2 polarization in vitro. We predict three discrete cell states, which we verify by single-cell quantitative PCR. Based on these three states, we extract rates of death, division and differentiation with a branching state Markov model to describe the cell population dynamics. From this multi-scale modelling, we infer a significant acceleration in proliferation from the intermediate activated cell state to the mature cytokine-secreting effector state. We confirm this acceleration both by live imaging of single Th2 cells and in an ex vivo Th1 malaria model by single-cell RNA-sequencing. Conclusion: The link between cytokine secretion and proliferation rate holds both in Th1 and Th2 cells in vivo and in vitro, indicating that this is likely a general phenomenon in adaptive immunity. Electronic supplementary material: The online version of this article (doi:10.1186/s13059-016-0957-5) contains supplementary material, which is available to authorized users. äSingle-cell analysis of CD4+ T-cell differentiation reveals three majo(epmc).pdf DeepDyve Pubget Overpricing