ADD result for spade stuff
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@ -40,6 +40,8 @@
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\renewcommand{\glossarysection}[2][]{} % remove glossary title
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\renewcommand{\glossarysection}[2][]{} % remove glossary title
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\makeglossaries
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\makeglossaries
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\newacronym{act}{ACT}{adoptive cell therapies}
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\newacronym{act}{ACT}{adoptive cell therapies}
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\newacronym{tcm}{T\textsubscript{cm}}{central memory T cell}
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\newacronym{tscm}{T\textsubscript{scm}}{stem-memory T cell}
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\newacronym{car}{CAR}{chimeric antigen receptor}
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\newacronym{car}{CAR}{chimeric antigen receptor}
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\newacronym[longplural={monoclonal antibodies}]{mab}{mAb}{monoclonal antibody}
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\newacronym[longplural={monoclonal antibodies}]{mab}{mAb}{monoclonal antibody}
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\newacronym{ecm}{ECM}{extracellular matrix}
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\newacronym{ecm}{ECM}{extracellular matrix}
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@ -2083,7 +2085,7 @@ provide these benefits.
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\section{introduction}
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\section{introduction}
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\section{methods}
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\section{methods}
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\subsection{collagenase digestion}
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\subsection{DMSs temporal modulation}
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% TODO The concentration for the surface marker cleavage experiment was much
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% TODO The concentration for the surface marker cleavage experiment was much
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% higher, if that matters
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% higher, if that matters
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@ -2097,6 +2099,10 @@ media normally used to feed the cells during the regular media addition cycle at
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day 4. Cultures were then incubated as described in \cref{sec:tcellculture}, and
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day 4. Cultures were then incubated as described in \cref{sec:tcellculture}, and
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the \glspl{dms} were verified to have been digested after \SI{24}{\hour}.
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the \glspl{dms} were verified to have been digested after \SI{24}{\hour}.
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Adding \gls{dms} was relatively much simpler; the number of \gls{dms} used per
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area on day 0 was scaled up by 3 on day 4 to match the change from a 96 well
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plate to a 24 well plate, effectively producing a constant activation signal.
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\subsection{mass cytometry and clustering analysis}
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\subsection{mass cytometry and clustering analysis}
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T cells were stained using a \product{34 \gls{cytof} marker
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T cells were stained using a \product{34 \gls{cytof} marker
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@ -2144,6 +2150,22 @@ To block soluble \gls{il15}, we supplemented analogously with
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\subsection{adding or removing DMSs alters expansion and phenotype}
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\subsection{adding or removing DMSs alters expansion and phenotype}
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% TODO state what collagenase actually targets
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We hypothesized that adding or removing \gls{dms} in the middle of an active
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culture would alter the activation signal and hence the growth trajectory and
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phenotype of T cells. While adding \glspl{dms} was simple, the easiest way to
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remove \glspl{dms} was to use enzymatic digestion. Collagenase is an enzyme that
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specifically targets the blabla domain on collagen. Since our \glspl{dms} are
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composed of porcine-derived collagen, this enzyme should target the \gls{dms}
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while sparing the cells. We tested this specific hypothesis using either
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\gls{colb}, \gls{cold} or \gls{hbss}, and stained the cells using a typical
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marker panel to assess if any of the markers were cleaved off by the enzyme
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which would bias our final readout. We observed that the marker histograms in
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the \gls{cold} group were similar to that of the buffer group, while the
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\gls{colb} group visibly lowered CD62L and CD4, indicating partial
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enzymatic cleavage (\cref{fig:collagenase_fx}). Based on this result, we used
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\gls{cold} moving forward.
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% TODO this figure is tall and skinny like me
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% TODO this figure is tall and skinny like me
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\begin{figure*}[ht!]
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\begin{figure*}[ht!]
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\begingroup
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\begingroup
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@ -2157,6 +2179,22 @@ To block soluble \gls{il15}, we supplemented analogously with
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\label{fig:collagenase_fx}
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\label{fig:collagenase_fx}
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\end{figure*}
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\end{figure*}
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When either adding more \glspl{dms}, removing \glspl{dms} using \gls{cold}, or
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doing nothing, we observed that, counterintuitively, cell growth seemed to be
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inhibited in the \textit{added} group while the cells seemed to grow faster in
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the \textit{removed} group relative to the \textit{no change} group
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(\cref{fig:add_rem_growth}). Additionally, the \textit{removed} group seemed to
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have a negative growth rate in the final \SI{4}{\day} of culture, indicating
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that either the lack activation signal had slowed the cell growth down or that
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the cells were growing fast enough to outpace the media feeding schedule. The
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viability was the same between all groups, indicating that this negative growth
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rate and the lower growth rate in the \textit{added} group were likely not due
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to cell death (\cref{fig:add_rem_viability}). Interestingly, the \textit{added}
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group had significantly higher \pth{} cells compared to the \textit{no change}
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group, and the inverse was true for the \textit{removed} group
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(\cref{fig:add_rem_cd4}). These results show that the growth rate and phenotype
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are fundamentally altered by changing the number of \glspl{dms} temporally.
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% TODO this figure still says "carrier"
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% TODO this figure still says "carrier"
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\begin{figure*}[ht!]
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\begin{figure*}[ht!]
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\begingroup
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\begingroup
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@ -2178,7 +2216,39 @@ To block soluble \gls{il15}, we supplemented analogously with
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\label{fig:add_rem}
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\label{fig:add_rem}
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\end{figure*}
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\end{figure*}
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We next asked what the effect of removing the \glspl{dms} would have on other
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phenotypes, specifically \gls{tcm} and \gls{tscm} cells. To this end we stained
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cells using a 34-marker mass cytometry panel and analyzed them using a Fluidigm
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Helios. After pooling the \gls{fcs} file events from each group and analyzing
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them via \gls{spade} we see that there is a strong bifurcation of CD4 and CD8 T
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cells. We also observe that among CD27, CD45RA, and CD45RO (markers commonly
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used to identify \gls{tcm} and \gls{tscm} subtypes) we see clear `metaclusters'
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composed of individual \gls{spade} clusters which are high for that marker
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(\cref{fig:spade_msts}). We then gated each of these metaclusters according to
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their marker levels and assigned them to one of three phenotypes for both the
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CD4 and CD8 compartments: \gls{tcm} (high CD45RO, low CD45RA, high CD27),
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\gls{tscm} (low CD45RO, high CD45RA, high CD27), and `transitory' \gls{tscm}
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cells (mid CD45RO, mid CD45RA, high CD27). Together these represent low
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differentiated cells which should be highly potent as anti-tumor therapies.
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When quantifying the number of cells from each experimental group in these
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phenotypes, we clearly see that the number of lower differentiated cells is much
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higher in the \textit{no change} or \textit{removed} groups compared to the
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\textit{added} group (\cref{fig:spade_quant}). Furthermore, the \textit{removed}
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group had a much higher fraction of \gls{tscm} cells compared to the \textit{no
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change} group, which had more `transitory \gls{tscm} cells'. The majority of
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these cells were \cdp{8} cells. When analyzing the same data using \gls{tsne},
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we observe a higher fraction of CD27 and lower fraction of CD45RO in the the
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\textit{removed} group (\cref{fig:spade_tsne_all}). When manually gating on the
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CD27+CD45RO- population, we see there is higher density in the \textit{removed}
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group, indicating more of this population (\cref{fig:spade_tsne_stem}).
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Together, these data indicate that removing \glspl{dms} at lower timepoints
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leads to potentially higher expansion, lower \pthp{}, and higher fraction of
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lower differentiated T cells such as \gls{tscm}, and adding \gls{dms} seems to
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do the inverse.
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% TODO this needs some better annotations
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% TODO this needs some better annotations
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% TODO put the quant graph before the tsne stuff
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\begin{figure*}[ht!]
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\begin{figure*}[ht!]
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\begingroup
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\begingroup
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