analyses/pbmc-direct-activation/PBMC direct actication flow and count.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n",
      "Attaching package: ‘dplyr’\n",
      "\n",
      "The following objects are masked from ‘package:stats’:\n",
      "\n",
      "    filter, lag\n",
      "\n",
      "The following objects are masked from ‘package:base’:\n",
      "\n",
      "    intersect, setdiff, setequal, union\n",
      "\n",
      "\n",
      "Attaching package: ‘tidyr’\n",
      "\n",
      "The following object is masked from ‘package:magrittr’:\n",
      "\n",
      "    extract\n",
      "\n"
     ]
    }
   ],
   "source": [
    "library('readr')\n",
    "library('magrittr')\n",
    "library('dplyr')\n",
    "library('tidyr')\n",
    "library('ggplot2')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<thead><tr><th scope=col>IL2</th><th scope=col>Activation bead</th><th scope=col>Cell_count_avg</th><th scope=col>Cell_count_sd</th><th scope=col>Live_percent_avg</th><th scope=col>Live_percent_sd</th></tr></thead>\n",
       "<tbody>\n",
       "\t<tr><td>0 IU/ml  </td><td>No       </td><td> 91883.33</td><td>47535.73 </td><td>70.50000 </td><td>19.149413</td></tr>\n",
       "\t<tr><td>200 IU/ml</td><td>No       </td><td>145500.00</td><td>11184.81 </td><td>44.33333 </td><td> 7.916228</td></tr>\n",
       "\t<tr><td>200 IU/ml</td><td>Yes      </td><td>856333.33</td><td>94677.70 </td><td>65.50000 </td><td> 4.415880</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "\\begin{tabular}{r|llllll}\n",
       " IL2 & Activation bead & Cell\\_count\\_avg & Cell\\_count\\_sd & Live\\_percent\\_avg & Live\\_percent\\_sd\\\\\n",
       "\\hline\n",
       "\t 0 IU/ml   & No        &  91883.33 & 47535.73  & 70.50000  & 19.149413\\\\\n",
       "\t 200 IU/ml & No        & 145500.00 & 11184.81  & 44.33333  &  7.916228\\\\\n",
       "\t 200 IU/ml & Yes       & 856333.33 & 94677.70  & 65.50000  &  4.415880\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "IL2 | Activation bead | Cell_count_avg | Cell_count_sd | Live_percent_avg | Live_percent_sd | \n",
       "|---|---|---|\n",
       "| 0 IU/ml   | No        |  91883.33 | 47535.73  | 70.50000  | 19.149413 | \n",
       "| 200 IU/ml | No        | 145500.00 | 11184.81  | 44.33333  |  7.916228 | \n",
       "| 200 IU/ml | Yes       | 856333.33 | 94677.70  | 65.50000  |  4.415880 | \n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "  IL2       Activation bead Cell_count_avg Cell_count_sd Live_percent_avg\n",
       "1 0 IU/ml   No               91883.33      47535.73      70.50000        \n",
       "2 200 IU/ml No              145500.00      11184.81      44.33333        \n",
       "3 200 IU/ml Yes             856333.33      94677.70      65.50000        \n",
       "  Live_percent_sd\n",
       "1 19.149413      \n",
       "2  7.916228      \n",
       "3  4.415880      "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "counts <-\n",
    "    read_tsv(\n",
    "        'pbmc-counts.tsv',\n",
    "        col_types=cols(\n",
    "          `Replicate`=col_factor(levels=c('R1', 'R2', 'R3')),\n",
    "          `Count`=col_factor(levels=c(\"1\", \"2\")),\n",
    "          `IL2`=col_factor(levels=c(\"-\", \"200 U/mL\")),\n",
    "          `Activation bead`=col_factor(levels=c(\"-\", \"1:1\")),\n",
    "          `Live cells per ml`=col_double(),\n",
    "          `Live cell fraction`=col_double()\n",
    "        )\n",
    "    ) %>%\n",
    "    mutate(\n",
    "        `IL2`=factor(`IL2`, labels=c(\"0 IU/ml\", \"200 IU/ml\")),\n",
    "        `Activation bead`=factor(`Activation bead`, labels=c(\"No\", \"Yes\"))\n",
    "    ) %>%\n",
    "    group_by(`IL2`, `Activation bead`) %>%\n",
    "    summarize(\n",
    "        `Cell_count_avg`=mean(`Live cells per ml`),\n",
    "        `Cell_count_sd`=sd(`Live cells per ml`),\n",
    "        `Live_percent_avg`=mean(`Live cell fraction`) * 100,\n",
    "        `Live_percent_sd`=sd(`Live cell fraction`) * 100\n",
    "    )\n",
    "\n",
    "counts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {},
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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ECAQDULCJCquffUnQABAgQIECBAgACB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Pnz9/VPP51Kc+lbbccstRzcPBCRAgQIAA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\nECB10rGOAAECBAgQIECAAIFaCfw/pXzUSEq+6gwAAAAASUVORK5CYII=",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "counts %>%\n",
    "    filter(`IL2` != \"0 IU/ml\") %>%\n",
    "    ggplot(aes(x=`Activation bead`, y=`Cell_count_avg`, fill=`Activation bead`)) +\n",
    "    geom_col() +\n",
    "    geom_errorbar(\n",
    "        aes(ymin=`Cell_count_avg`-`Cell_count_sd`, ymax=`Cell_count_avg`+`Cell_count_sd`),\n",
    "        width=0.2\n",
    "    ) +\n",
    "    xlab('Activation bead (1:1 T-cell:bead ratio)') +\n",
    "    ylab('Average live cell count per ml\\n(n=3)')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {},
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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jXaSl/ytTiD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\nAElFTkSuQmCC",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cd348_grp <-\n",
    "    read_tsv(\n",
    "        'pbmc-cd3.tsv',\n",
    "        col_types=cols(\n",
    "            `Sample:` = col_character(),\n",
    "            `IL2`=col_factor(levels=c(\"-\", \"200 U/mL\")),\n",
    "            `Activation beads`=col_factor(levels=c(\"-\", \"1:1\")),\n",
    "            .default=col_double()\n",
    "        )\n",
    "    ) %>%\n",
    "    mutate(\n",
    "        `IL2`=factor(`IL2`, labels=c(\"0 IU/ml\", \"200 IU/ml\")),\n",
    "        `Activation bead`=factor(`Activation beads`, labels=c(\"No\", \"Yes\"))\n",
    "    ) %>%\n",
    "    filter(`IL2` != \"0 IU/ml\") %>%\n",
    "    group_by(`Activation bead`)\n",
    "rbind(\n",
    "    cd348_grp %>%\n",
    "    summarize(\n",
    "        `Freq_mean`=mean(`Live/CD3+ | Freq. of Parent`),\n",
    "        `Freq_sd`=sd(`Live/CD3+ | Freq. of Parent`)\n",
    "    ) %>%\n",
    "    mutate(`Population`=\"CD3+\"),\n",
    "    cd348_grp %>%\n",
    "    summarize(\n",
    "        `Freq_mean`=mean(`Live/CD3+/CD4+ CD8- | Freq. of Parent`),\n",
    "        `Freq_sd`=sd(`Live/CD3+/CD4+ CD8- | Freq. of Parent`),        \n",
    "    ) %>%\n",
    "    mutate(`Population`=\"CD3+ CD4+\"),\n",
    "    cd348_grp %>%\n",
    "    summarize(\n",
    "        `Freq_mean`=mean(`Live/CD3+/CD4- CD8+ | Freq. of Parent`),\n",
    "        `Freq_sd`=sd(`Live/CD3+/CD4- CD8+ | Freq. of Parent`)\n",
    "    ) %>%\n",
    "    mutate(`Population`=\"CD3+ CD8+\")\n",
    ") %>%\n",
    "mutate(`Population`=factor(`Population`)) %>%\n",
    "ggplot(aes(x=`Activation bead`, y=`Freq_mean`, fill=`Activation bead`)) +\n",
    "    geom_col() +\n",
    "    geom_errorbar(\n",
    "            aes(ymin=`Freq_mean`-`Freq_sd`, ymax=`Freq_mean`+`Freq_sd`),\n",
    "            width=0.2\n",
    "    ) +\n",
    "    facet_wrap(~Population) +\n",
    "    ylim(0, 100) +\n",
    "    ylab('Percent population (%)')\n"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "R",
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