Commit 9bac1ca5 authored by Lars Velten's avatar Lars Velten
Browse files

vignettes now install correctly

parent a4ce081d
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<h1 class="title toc-ignore">CIBERSORT to decompose the composition of bone marrow niches</h1>
<h4 class="author"><em>Vignette Author</em></h4>
<h4 class="date"><em>2019-01-23</em></h4>
<div id="unsupervised-analysis" class="section level2">
<h2>Unsupervised analysis</h2>
<p>Object NicheDataLCM contains read counts of samples of microscopically defined niches. We first use PCA to have an unsupervised look at the data, and flag the two outliers driving PC1 and 2 for removal.</p>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="kw">require</span>(RNAMagnet)
<span class="kw">require</span>(Seurat)
<span class="kw">require</span>(ggplot2)
n.pca &lt;-<span class="st"> </span><span class="kw">prcomp</span>(<span class="kw">t</span>(DESeq2<span class="op">::</span><span class="kw">varianceStabilizingTransformation</span>(<span class="kw">as.matrix</span>(NicheDataLCM)) ))
<span class="kw">qplot</span>(<span class="dt">x =</span> n.pca<span class="op">$</span>x[,<span class="dv">1</span>], <span class="dt">y =</span> n.pca<span class="op">$</span>x[,<span class="dv">2</span>], <span class="dt">color =</span> NicheMetaDataLCM<span class="op">$</span>biological.class) <span class="op">+</span><span class="st"> </span><span class="kw">scale_color_discrete</span>(<span class="dt">name=</span><span class="st">&quot;Sample type&quot;</span>) <span class="op">+</span><span class="st"> </span><span class="kw">xlab</span>(<span class="st">&quot;PC1&quot;</span>) <span class="op">+</span><span class="st"> </span><span class="kw">ylab</span>(<span class="st">&quot;PC2&quot;</span>)</code></pre></div>
<p><img src="data:image/png;base64,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" /><!-- --></p>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r">outliers &lt;-<span class="st"> </span>n.pca<span class="op">$</span>x[,<span class="dv">1</span>] <span class="op">&gt;</span><span class="st"> </span><span class="dv">70</span> <span class="op">|</span><span class="st"> </span>n.pca<span class="op">$</span>x[,<span class="dv">2</span>] <span class="op">&lt;</span><span class="st"> </span><span class="op">-</span><span class="dv">40</span>
remove &lt;-<span class="st"> </span><span class="kw">colnames</span>(NicheDataLCM)[outliers]</code></pre></div>
</div>
<div id="cibersort" class="section level2">
<h2>CIBERSORT</h2>
<p>Next, we used <a href="https://www.nature.com/articles/nmeth.3337">!CIBERSORT</a> to decompose the “bulk” RNA-seq profiles from LCM-seq into the cell populations identified by single cell RNA sequencing. CIBERSORT is an algorithm for estimating the cell type composition of a bulk sample, given a gene expression profile of the sample and a known gene expression profile for each cell type potentially contributing to the sample. Mathematically, the expected expression level <span class="math inline">\(x_j\)</span> of gene <span class="math inline">\(j\)</span> in a bulk sample is the sum of cell type averages, <span class="math inline">\(s_{ij}\)</span>, weighted by cell type fractions ai: <span class="math display">\[ x_j=\sum_i{a_i s_{ij}} \]</span> CIBERSORT uses support vector regression to robustly solve that well-defined system of linear equations. In our manuscript (supplementary note), we demonstrate that CIBERSORT excels at comparing relative cell type abundancies between niches (i.e. ‘cell type X localizes to niche A over niche B and niche C’), but performs only moderately at estimating cell type proportions within a single niche (i.e. it cannot draw statements like ‘niche A consists to 70% of cell type X and 30% of cell type Y’). It is therefore important to focus on analyses of the first type.</p>
<p>To set up CIBERSORT, we first comoute the population-wise mean expression of all marker genes. Since the different HSPC subpopulations are too similar to be reasonably distinguished by CIBERSORT, we merge them to one.</p>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="cf">for</span> (pop <span class="cf">in</span> <span class="kw">c</span>(<span class="st">&quot;Ery/Mk prog.&quot;</span>,<span class="st">&quot;Neutro prog.&quot;</span>,<span class="st">&quot;Mono prog.&quot;</span>,<span class="st">&quot;Gran/Mono prog.&quot;</span>,<span class="st">&quot;LMPPs&quot;</span>,<span class="st">&quot;Mk prog.&quot;</span>,<span class="st">&quot;Eo/Baso prog.&quot;</span>,<span class="st">&quot;Ery prog.&quot;</span>)) NicheData10x &lt;-<span class="st"> </span><span class="kw">RenameIdent</span>(NicheData10x, pop, <span class="st">&quot;HSPC&quot;</span>)
usegenes &lt;-<span class="st"> </span><span class="kw">unique</span>(NicheMarkers10x<span class="op">$</span>gene[(NicheMarkers10x<span class="op">$</span>myAUC <span class="op">&gt;</span><span class="st"> </span><span class="fl">0.8</span> <span class="op">|</span>NicheMarkers10x<span class="op">$</span>myAUC <span class="op">&lt;</span><span class="st"> </span><span class="fl">0.2</span>) ])
mean_by_cluster &lt;-<span class="st"> </span><span class="kw">do.call</span>(cbind, <span class="kw">lapply</span>(<span class="kw">unique</span>(NicheData10x<span class="op">@</span>ident), <span class="cf">function</span>(x) {
<span class="kw">apply</span>(NicheData10x<span class="op">@</span>raw.data[usegenes,NicheData10x<span class="op">@</span>cell.names][,NicheData10x<span class="op">@</span>ident <span class="op">==</span><span class="st"> </span>x], <span class="dv">1</span>,mean )
}))
<span class="kw">colnames</span>(mean_by_cluster) &lt;-<span class="st"> </span><span class="kw">unique</span>(NicheData10x<span class="op">@</span>ident)</code></pre></div>
<p>…and we then run the function <code>runCIBERSORT</code>.</p>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="co">#character vector that maps column names of NicheDataLCM to sample type</span>
LCM_design &lt;-<span class="st"> </span>NicheMetaDataLCM<span class="op">$</span>biological.class
<span class="kw">names</span>(LCM_design) &lt;-<span class="st"> </span>NicheMetaDataLCM<span class="op">$</span>id
CIBER &lt;-<span class="st"> </span><span class="kw">runCIBERSORT</span>(NicheDataLCM, mean_by_cluster, LCM_design, <span class="dt">mc.cores=</span><span class="dv">3</span>)
<span class="kw">head</span>(CIBER)
<span class="co">#&gt; CellType SampleID Fraction SampleClass</span>
<span class="co">#&gt; 1 HSPC S1 0.006869989 ARTERIES</span>
<span class="co">#&gt; 2 large pre-B. S1 0.000000000 ARTERIES</span>
<span class="co">#&gt; 3 Erythroblasts S1 0.074509555 ARTERIES</span>
<span class="co">#&gt; 4 Monocytes S1 0.008871448 ARTERIES</span>
<span class="co">#&gt; 5 pro-B S1 0.000000000 ARTERIES</span>
<span class="co">#&gt; 6 T cells S1 0.020245421 ARTERIES</span></code></pre></div>
<p>We can plot the result using standard R commands.</p>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r">
CIBER &lt;-<span class="st"> </span><span class="kw">subset</span>(CIBER,CellType <span class="op">%in%</span><span class="st"> </span><span class="kw">c</span>(<span class="st">&quot;Adipo-CAR&quot;</span>,<span class="st">&quot;Ng2+ MSCs&quot;</span>,<span class="st">&quot;Osteoblasts&quot;</span>, <span class="st">&quot;Arteriolar fibro.&quot;</span>, <span class="st">&quot;Sinusoidal ECs&quot;</span>, <span class="st">&quot;Osteo-CAR&quot;</span>,<span class="st">&quot;Chondrocytes&quot;</span>,<span class="st">&quot;Endosteal fibro.&quot;</span>, <span class="st">&quot;Fibro/Chondro p.&quot;</span>, <span class="st">&quot;Stromal fibro.&quot;</span>, <span class="st">&quot;Arteriolar ECs&quot;</span>, <span class="st">&quot;Smooth muscle&quot;</span>) <span class="op">&amp;</span><span class="st"> </span><span class="op">!</span>SampleID <span class="op">%in%</span><span class="st"> </span>remove)
labeler &lt;-<span class="st"> </span><span class="kw">c</span>(<span class="st">&quot;ARTERIES&quot;</span> =<span class="st"> &quot;Arteriolar&quot;</span>, <span class="st">&quot;ENDOSTEUM&quot;</span> =<span class="st"> &quot;Endosteal&quot;</span>, <span class="st">&quot;HIGH SINUSOIDS&quot;</span> =<span class="st"> &quot;Sinusoidal&quot;</span>, <span class="st">&quot;LOW SINUSOIDS&quot;</span> =<span class="st"> &quot;Non-vascular&quot;</span>, <span class="st">&quot;SUB-ENDOSTEUM&quot;</span> =<span class="st"> &quot;Sub-Endosteal&quot;</span>, <span class="st">&quot;Other&quot;</span> =<span class="st"> &quot;darkgrey&quot;</span>)
<span class="kw">ggplot</span>(<span class="kw">aes</span>(<span class="dt">x =</span> SampleClass, <span class="dt">y=</span> Fraction,<span class="dt">color =</span> CellType),<span class="dt">data=</span>CIBER) <span class="op">+</span><span class="st"> </span><span class="kw">geom_point</span>(<span class="dt">stat=</span><span class="st">&quot;summary&quot;</span>, <span class="dt">fun.y=</span>mean) <span class="op">+</span><span class="st"> </span><span class="kw">facet_wrap</span>(<span class="op">~</span><span class="st"> </span>CellType, <span class="dt">scales=</span><span class="st">&quot;free_y&quot;</span>) <span class="op">+</span><span class="st"> </span>
<span class="st"> </span><span class="kw">theme_bw</span>(<span class="dt">base_size=</span><span class="dv">12</span>) <span class="op">+</span><span class="st"> </span><span class="kw">theme</span>(<span class="dt">axis.text.x =</span> <span class="kw">element_text</span>(<span class="dt">angle=</span><span class="dv">90</span>, <span class="dt">color=</span><span class="st">&quot;black&quot;</span>),<span class="dt">axis.text.y =</span> <span class="kw">element_blank</span>(), <span class="dt">panel.grid =</span> <span class="kw">element_blank</span>()) <span class="op">+</span><span class="st"> </span>
<span class="st"> </span><span class="kw">geom_errorbar</span>(<span class="dt">stat=</span><span class="st">&quot;summary&quot;</span>, <span class="dt">fun.ymin=</span><span class="cf">function</span>(x) <span class="kw">mean</span>(x)<span class="op">+</span><span class="kw">sd</span>(x)<span class="op">/</span><span class="kw">sqrt</span>(<span class="kw">length</span>(x)),<span class="dt">fun.ymax=</span><span class="cf">function</span>(x) <span class="kw">mean</span>(x)<span class="op">-</span><span class="kw">sd</span>(x)<span class="op">/</span><span class="kw">sqrt</span>(<span class="kw">length</span>(x)), <span class="dt">width=</span><span class="fl">0.2</span>) <span class="op">+</span><span class="st"> </span>
<span class="st"> </span><span class="kw">ylab</span>(<span class="st">&quot;CIBERSORT estimate (a.u.)&quot;</span>) <span class="op">+</span><span class="st"> </span><span class="kw">scale_color_manual</span>(<span class="dt">values =</span> NicheDataColors, <span class="dt">guide=</span>F) <span class="op">+</span><span class="st"> </span><span class="kw">xlab</span>(<span class="st">&quot;Niche&quot;</span>) <span class="op">+</span><span class="st"> </span><span class="kw">scale_x_discrete</span>(<span class="dt">labels =</span> labeler)</code></pre></div>
<p><img 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" 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