analyses/isolation-bead-titration/Isolation bead titration.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": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<thead><tr><th scope=col>Replicate</th><th scope=col>Bead:cell ratio</th><th scope=col>Live cells/CD3+ | Freq. of Parent (%)</th><th scope=col>Live cells/CD3- | Freq. of Parent (%)</th><th scope=col>Live cells/CD3+/CD3+ CD8- CD4+ | Freq. of Parent (%)</th><th scope=col>Live cells/CD3+/CD3+ CD8+ CD4- | Freq. of Parent (%)</th></tr></thead>\n",
       "<tbody>\n",
       "\t<tr><td>R1  </td><td>0:1 </td><td>29.1</td><td>70.9</td><td>37.8</td><td>17.1</td></tr>\n",
       "\t<tr><td>R1  </td><td>1:1 </td><td>88.7</td><td>11.3</td><td>71.4</td><td>15.8</td></tr>\n",
       "\t<tr><td>R1  </td><td>1:2 </td><td>81.6</td><td>18.4</td><td>77.2</td><td>17.8</td></tr>\n",
       "\t<tr><td>R1  </td><td>1:4 </td><td>73.9</td><td>26.1</td><td>76.9</td><td>18.5</td></tr>\n",
       "\t<tr><td>R2  </td><td>0:1 </td><td>47.5</td><td>52.5</td><td>77.5</td><td>18.3</td></tr>\n",
       "\t<tr><td>R2  </td><td>1:1 </td><td>89.0</td><td>11.0</td><td>78.7</td><td>16.4</td></tr>\n",
       "\t<tr><td>R2  </td><td>1:2 </td><td>74.1</td><td>25.9</td><td>78.5</td><td>16.1</td></tr>\n",
       "\t<tr><td>R2  </td><td>1:4 </td><td>72.5</td><td>27.5</td><td>77.2</td><td>18.6</td></tr>\n",
       "\t<tr><td>R3  </td><td>0:1 </td><td>48.5</td><td>51.5</td><td>77.3</td><td>18.6</td></tr>\n",
       "\t<tr><td>R3  </td><td>1:1 </td><td>88.6</td><td>11.4</td><td>79.5</td><td>15.3</td></tr>\n",
       "\t<tr><td>R3  </td><td>1:2 </td><td>79.9</td><td>20.1</td><td>77.5</td><td>18.4</td></tr>\n",
       "\t<tr><td>R3  </td><td>1:4 </td><td>72.7</td><td>27.3</td><td>77.2</td><td>18.5</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "\\begin{tabular}{r|llllll}\n",
       " Replicate & Bead:cell ratio & Live cells/CD3+ \\textbar{} Freq. of Parent (\\%) & Live cells/CD3- \\textbar{} Freq. of Parent (\\%) & Live cells/CD3+/CD3+ CD8- CD4+ \\textbar{} Freq. of Parent (\\%) & Live cells/CD3+/CD3+ CD8+ CD4- \\textbar{} Freq. of Parent (\\%)\\\\\n",
       "\\hline\n",
       "\t R1   & 0:1  & 29.1 & 70.9 & 37.8 & 17.1\\\\\n",
       "\t R1   & 1:1  & 88.7 & 11.3 & 71.4 & 15.8\\\\\n",
       "\t R1   & 1:2  & 81.6 & 18.4 & 77.2 & 17.8\\\\\n",
       "\t R1   & 1:4  & 73.9 & 26.1 & 76.9 & 18.5\\\\\n",
       "\t R2   & 0:1  & 47.5 & 52.5 & 77.5 & 18.3\\\\\n",
       "\t R2   & 1:1  & 89.0 & 11.0 & 78.7 & 16.4\\\\\n",
       "\t R2   & 1:2  & 74.1 & 25.9 & 78.5 & 16.1\\\\\n",
       "\t R2   & 1:4  & 72.5 & 27.5 & 77.2 & 18.6\\\\\n",
       "\t R3   & 0:1  & 48.5 & 51.5 & 77.3 & 18.6\\\\\n",
       "\t R3   & 1:1  & 88.6 & 11.4 & 79.5 & 15.3\\\\\n",
       "\t R3   & 1:2  & 79.9 & 20.1 & 77.5 & 18.4\\\\\n",
       "\t R3   & 1:4  & 72.7 & 27.3 & 77.2 & 18.5\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "Replicate | Bead:cell ratio | Live cells/CD3+ | Freq. of Parent (%) | Live cells/CD3- | Freq. of Parent (%) | Live cells/CD3+/CD3+ CD8- CD4+ | Freq. of Parent (%) | Live cells/CD3+/CD3+ CD8+ CD4- | Freq. of Parent (%) | \n",
       "|---|---|---|---|---|---|---|---|---|---|---|---|\n",
       "| R1   | 0:1  | 29.1 | 70.9 | 37.8 | 17.1 | \n",
       "| R1   | 1:1  | 88.7 | 11.3 | 71.4 | 15.8 | \n",
       "| R1   | 1:2  | 81.6 | 18.4 | 77.2 | 17.8 | \n",
       "| R1   | 1:4  | 73.9 | 26.1 | 76.9 | 18.5 | \n",
       "| R2   | 0:1  | 47.5 | 52.5 | 77.5 | 18.3 | \n",
       "| R2   | 1:1  | 89.0 | 11.0 | 78.7 | 16.4 | \n",
       "| R2   | 1:2  | 74.1 | 25.9 | 78.5 | 16.1 | \n",
       "| R2   | 1:4  | 72.5 | 27.5 | 77.2 | 18.6 | \n",
       "| R3   | 0:1  | 48.5 | 51.5 | 77.3 | 18.6 | \n",
       "| R3   | 1:1  | 88.6 | 11.4 | 79.5 | 15.3 | \n",
       "| R3   | 1:2  | 79.9 | 20.1 | 77.5 | 18.4 | \n",
       "| R3   | 1:4  | 72.7 | 27.3 | 77.2 | 18.5 | \n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "   Replicate Bead:cell ratio Live cells/CD3+ | Freq. of Parent (%)\n",
       "1  R1        0:1             29.1                                 \n",
       "2  R1        1:1             88.7                                 \n",
       "3  R1        1:2             81.6                                 \n",
       "4  R1        1:4             73.9                                 \n",
       "5  R2        0:1             47.5                                 \n",
       "6  R2        1:1             89.0                                 \n",
       "7  R2        1:2             74.1                                 \n",
       "8  R2        1:4             72.5                                 \n",
       "9  R3        0:1             48.5                                 \n",
       "10 R3        1:1             88.6                                 \n",
       "11 R3        1:2             79.9                                 \n",
       "12 R3        1:4             72.7                                 \n",
       "   Live cells/CD3- | Freq. of Parent (%)\n",
       "1  70.9                                 \n",
       "2  11.3                                 \n",
       "3  18.4                                 \n",
       "4  26.1                                 \n",
       "5  52.5                                 \n",
       "6  11.0                                 \n",
       "7  25.9                                 \n",
       "8  27.5                                 \n",
       "9  51.5                                 \n",
       "10 11.4                                 \n",
       "11 20.1                                 \n",
       "12 27.3                                 \n",
       "   Live cells/CD3+/CD3+ CD8- CD4+ | Freq. of Parent (%)\n",
       "1  37.8                                                \n",
       "2  71.4                                                \n",
       "3  77.2                                                \n",
       "4  76.9                                                \n",
       "5  77.5                                                \n",
       "6  78.7                                                \n",
       "7  78.5                                                \n",
       "8  77.2                                                \n",
       "9  77.3                                                \n",
       "10 79.5                                                \n",
       "11 77.5                                                \n",
       "12 77.2                                                \n",
       "   Live cells/CD3+/CD3+ CD8+ CD4- | Freq. of Parent (%)\n",
       "1  17.1                                                \n",
       "2  15.8                                                \n",
       "3  17.8                                                \n",
       "4  18.5                                                \n",
       "5  18.3                                                \n",
       "6  16.4                                                \n",
       "7  16.1                                                \n",
       "8  18.6                                                \n",
       "9  18.6                                                \n",
       "10 15.3                                                \n",
       "11 18.4                                                \n",
       "12 18.5                                                "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cd348_stats <- \n",
    "    read_tsv(\n",
    "        './cd3-cd4-cd8-stats.tsv',\n",
    "        col_types=cols(\n",
    "            `Replicate`=col_factor(levels=c('R1', 'R2', 'R3')),\n",
    "            `Bead:cell ratio`=col_factor(levels=c('0:1', '1:1', '1:2', '1:4')),\n",
    "            .default=col_double()\n",
    "        )\n",
    "    )\n",
    "cd348_stats"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {},
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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V3+/HiNAAIIIIAAAggggAACCKRLIK0BkgrVsmVLW758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bpxiQ4cEHH6Q4gECZB64oY+xljDleQmWM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\nUQ1N1chXAAAAAElFTkSuQmCC",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cd348_grp <- cd348_stats %>% group_by(`Bead:cell ratio`)\n",
    "\n",
    "rbind(\n",
    "    cd348_grp %>%\n",
    "    summarize(\n",
    "        `Freq_mean`=mean(`Live cells/CD3+ | Freq. of Parent (%)`),\n",
    "        `Freq_sd`=sd(`Live cells/CD3+ | Freq. of Parent (%)`)\n",
    "    ) %>%\n",
    "    mutate(`Population`=\"CD3+\"),\n",
    "    cd348_grp %>%\n",
    "    summarize(\n",
    "        `Freq_mean`=mean(`Live cells/CD3+/CD3+ CD8- CD4+ | Freq. of Parent (%)`),\n",
    "        `Freq_sd`=sd(`Live cells/CD3+/CD3+ CD8- CD4+ | Freq. of Parent (%)`),        \n",
    "    ) %>%\n",
    "    mutate(`Population`=\"CD3+ CD4+\"),\n",
    "    cd348_grp %>%\n",
    "    summarize(\n",
    "        `Freq_mean`=mean(`Live cells/CD3+/CD3+ CD8+ CD4- | Freq. of Parent (%)`),\n",
    "        `Freq_sd`=sd(`Live cells/CD3+/CD3+ CD8+ CD4- | Freq. of Parent (%)`)\n",
    "    ) %>%\n",
    "    mutate(`Population`=\"CD3+ CD8+\")\n",
    ") %>%\n",
    "mutate(`Population`=factor(`Population`)) %>%\n",
    "ggplot(aes(x=`Bead:cell ratio`, y=`Freq_mean`, fill=`Bead:cell ratio`)) +\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(n=3)')\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "| Cell count (106 live cells/ml) | 1:1 | 1:2 | 1:4 | 1:8 |\n",
    "| ------------------------------ | --- | --- | --- | --- |\n",
    "| #1| 3.21 (96%) | 4.16 (93%) | 4.91 (78%) | 5.01 (69%) |\n",
    "| #2 | 4.72 (96%) | 3.95 (91%) | 4.81 (75%) | 4.95 (70%) |"
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