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ADD donor characteristics table

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Nathan Dwarshuis 2021-09-03 19:23:39 -04:00
parent 83609bdedb
commit 2b780fa7b5
3 changed files with 65 additions and 7 deletions
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18
tables/donor_chars.tex Normal file
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\begin{tabular}{@{\extracolsep{5pt}} ccccccc}
\\[-1.8ex]\hline
\hline \\[-1.8ex]
ID & Demo & Gender & ABO Type & Age (years) & BMI (\si{\kg\per\m\squared}) & HLA-A2 Present \\
\hline \\[-1.8ex]
4 & AA & M & NA & 27 & 21.7 & FALSE \\
24 & C & M & NA & 22 & 23.9 & FALSE \\
29 & AA & M & NA & 40 & 20.9 & TRUE \\
30 & AA & M & NA & 25 & 20.9 & TRUE \\
309 & C/PI & F & APOS & 22 & 24.9 & FALSE \\
338 & C & M & OPOS & 23 & 23.4 & TRUE \\
338 & C & M & OPOS & 24 & 23.4 & TRUE \\
358 & C & F & OPOS & 52 & 37.1 & TRUE \\
397 & C & M & OPOS & 53 & 31.2 & FALSE \\
512 & C & M & OPOS & 21 & 26.5 & FALSE \\
592 & H & M & APOS & 21 & 31.8 & FALSE \\
\hline \\[-1.8ex]
\end{tabular}

18
tables/donor_phenotypes.tex Normal file
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\begin{tabular}{@{\extracolsep{5pt}} ccccccccc}
\\[-1.8ex]\hline
\hline \\[-1.8ex]
ID & \cd{3} & \cd{4} & \cd{8} & \cd{11c} & \cd{14} & \cd{16} & \cd{19} & \cd{56} \\
\hline \\[-1.8ex]
4 & NA & 32.7 & 5.5 & NA & 12.3 & NA & 10.8 & 8.2 \\
24 & 57.0 & 39.8 & 16.5 & NA & 12.7 & NA & 5.2 & 8.6 \\
29 & NA & 35.3 & 6.8 & NA & 14.4 & NA & 3.0 & 8.2 \\
30 & NA & 35.2 & 18.2 & NA & 15.1 & NA & 9.0 & 8.1 \\
309 & 96.9 & 64.6 & 28.0 & 1.2 & 0.7 & 1.1 & 0.1 & 1.5 \\
338 & 99.1 & 65.9 & 35.7 & 1.4 & 2.0 & 1.4 & 0.3 & 1.6 \\
338 & 99.1 & 62.4 & 35.2 & 2.2 & 1.6 & 0.6 & 0.2 & 1.5 \\
358 & 97.3 & 75.4 & 20.7 & 3.2 & 2.4 & 3.2 & 0.6 & 3.1 \\
397 & 98.2 & 67.3 & 33.0 & 2.8 & 1.2 & 1.5 & 0.2 & 8.0 \\
512 & 97.4 & 62.8 & 29.6 & 2.2 & 3.9 & 2.2 & 0.2 & 1.2 \\
592 & 95.2 & 56.1 & 35.9 & 5.3 & 0.7 & 4.6 & 2.9 & 5.4 \\
\hline \\[-1.8ex]
\end{tabular}

36
tex/thesis.tex
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@ -20,6 +20,7 @@
\usepackage{setspace} \usepackage{setspace}
\usepackage{listings} \usepackage{listings}
\usepackage{tocloft} \usepackage{tocloft}
\usepackage{rotating}
\hypersetup{ \hypersetup{
colorlinks=true, colorlinks=true,
@ -302,6 +303,7 @@
\newcommand{\amcd}[1]{\antim{\cd{#1}}} \newcommand{\amcd}[1]{\antim{\cd{#1}}}
\newcommand{\pos}[1]{#1+} \newcommand{\pos}[1]{#1+}
\newcommand{\cdp}[1]{\pos{\cd{#1}}} \newcommand{\cdp}[1]{\pos{\cd{#1}}}
\newcommand{\pcd}[1]{\cdp{#1}~\si{\percent}}
\newcommand{\cdn}[1]{\cd{#1}-} \newcommand{\cdn}[1]{\cd{#1}-}
\newcommand{\ptmem}{\cdp{62L}\pos{CCR7}} \newcommand{\ptmem}{\cdp{62L}\pos{CCR7}}
\newcommand{\ptmemp}{\ptmem{}~\si{\percent}} \newcommand{\ptmemp}{\ptmem{}~\si{\percent}}
@ -2556,13 +2558,13 @@ the treatment parameters themselves.
In addition to these treatment parameters, we also included covariates to In addition to these treatment parameters, we also included covariates to
improve the precision of our model. Among these were donor parameters including improve the precision of our model. Among these were donor parameters including
age, \gls{bmi}, demographic, and gender, as well as the initial viability and age, \gls{bmi}, demographic, and gender, as well as the initial viability and
CD4/CD8 ratio of the cryopreserved cell lots used in the experiments. We also CD4/CD8 ratio of the cryopreserved cell lots used in the experiments
included the age of key reagents such as IL2, media, and the anti-aggregate (\cref{tab:meta_donors}). We also included the age of key reagents such as IL2,
media used to thaw the T cells prior to activation. Each experiment was media, and the anti-aggregate media used to thaw the T cells prior to
performed by one of three operators, so this was included as a three-level activation. Each experiment was performed by one of three operators, so this was
categorical parameter. Lastly, some of our experiments were sampled included as a three-level categorical parameter. Lastly, some of our experiments
longitudinally, so we included a boolean categorical to represented this were sampled longitudinally, so we included a boolean categorical to represented
modification as removing conditioned media as the cell are expanding could this modification as removing conditioned media as the cell are expanding could
disrupt signaling pathways. disrupt signaling pathways.
\begin{table}[!h] \centering \begin{table}[!h] \centering
@ -4891,6 +4893,26 @@ hosted using \gls{aws} using their proprietary Aurora implementation.
The code is available here: \url{https://github.gatech.edu/ndwarshuis3/mdma}. The code is available here: \url{https://github.gatech.edu/ndwarshuis3/mdma}.
\chapter{META ANALYSIS DONORS}\label{sec:appendix_donors}
\begin{table}[!h]
\caption{Donors used in meta-analysis}
\begin{subtable}[t]{\textwidth} \centering
\caption{characteristics}
\input{../tables/donor_chars.tex}
\phantomsubcaption\label{tab:meta_donors_chars}
\end{subtable}
\bigskip
\begin{subtable}[t]{\textwidth} \centering
\caption{phenotype (all in percents)}
\input{../tables/donor_phenotypes.tex}
\phantomsubcaption\label{tab:meta_donors_phenotypes}
\end{subtable}
\label{tab:meta_donors}
\end{table}
\chapter{BINDING KINETICS}\label{sec:appendix_binding} \chapter{BINDING KINETICS}\label{sec:appendix_binding}
\newcommand{\lig}{\textit{ligand}} \newcommand{\lig}{\textit{ligand}}