{ "cells": [ { "cell_type": "markdown", "id": "577cec55", "metadata": {}, "source": [ "# Tutorial 3: DBiT-Seq Mouse Embryo RNA and Protein Multi-Omics Data" ] }, { "cell_type": "markdown", "id": "8d0b44ca", "metadata": {}, "source": [ "We applied COSMOS to a spatially resolved RNA-Protein multi-omics dataset. This dataset contains 1,789 spatially resolved cells from E10 mouse embryo brain regions with a joint profiling of 22 proteins and 254 genes with DBiT-seq.\n", "\n", "The raw data can be downloaded from: \n", "https://figshare.com/articles/dataset/Spatial_genomics_datasets/21623148/5\n", "\n", "The processed data is available at: https://zenodo.org/records/13932144\n" ] }, { "cell_type": "code", "execution_count": 1, "id": "cf7f2f72", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/Applications/anaconda3/envs/spaceflow_env/lib/python3.7/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", " from .autonotebook import tqdm as notebook_tqdm\n" ] } ], "source": [ "import pandas as pd\n", "import numpy as np\n", "import scanpy as sc\n", "import matplotlib\n", "import matplotlib.pyplot as plt\n", "from umap import UMAP\n", "import sklearn\n", "import seaborn as sns\n", "import h5py\n", "from COSMOS import cosmos\n", "from COSMOS.pyWNN import pyWNN \n", "import warnings\n", "warnings.filterwarnings('ignore')\n", "random_seed = 20" ] }, { "cell_type": "markdown", "id": "fa6dc663", "metadata": {}, "source": [ "## Preparation of data" ] }, { "cell_type": "markdown", "id": "5a33b441", "metadata": {}, "source": [ "### Importing the data" ] }, { "cell_type": "code", "execution_count": 2, "id": "98457bc5", "metadata": {}, "outputs": [], "source": [ "data_mat = h5py.File('./DBiT_Seq Mouse Embryo_RNA_Protein.h5', 'r')\n", "df_data_RNA = np.array(data_mat['X_gene']).astype('float64') # gene count matrix\n", "df_data_protein = np.array(data_mat['X_protein']).astype('float64') # protein count matrix\n", "loc = np.array(data_mat['pos']).astype('float64') \n", "gene_names = list(data_mat['gene'])\n", "gene_names = [gene.decode(\"utf-8\") for gene in gene_names]\n", "protein_names = list(data_mat['protein'])\n", "protein_names = [protein.decode(\"utf-8\") for protein in protein_names]\n", "protein_names = [protein.split(\".\")[0] for protein in protein_names]" ] }, { "cell_type": "markdown", "id": "2e058f18", "metadata": {}, "source": [ "### Preprocessing of the data" ] }, { "cell_type": "code", "execution_count": 3, "id": "1998d0cc", "metadata": {}, "outputs": [], "source": [ "adata1 = sc.AnnData(df_data_RNA, dtype=\"float64\")\n", "adata1.index = gene_names\n", "sc.pp.normalize_per_cell(adata1)\n", "sc.pp.log1p(adata1)\n", "\n", "adata2 = sc.AnnData(df_data_protein, dtype=\"float64\")\n", "adata2.index = protein_names\n", "sc.pp.log1p(adata2)\n", "\n", "\n", "adata1.obsm['spatial'] = np.array(loc)\n", "adata1.obs['x_pos'] = np.array(loc)[:,0]\n", "adata1.obs['y_pos'] = np.array(loc)[:,1]\n", "\n", "\n", "adata2.obsm['spatial'] = np.array(loc)\n", "adata2.obs['x_pos'] = np.array(loc)[:,0]\n", "adata2.obs['y_pos'] = np.array(loc)[:,1]" ] }, { "cell_type": "markdown", "id": "592c8dcf", "metadata": {}, "source": [ "## Applying COSMOS to integrate RNA and Protein omics" ] }, { "cell_type": "code", "execution_count": 4, "id": "0290796d", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Epoch 1/1000, Loss: 1.4152836799621582\n", "Epoch 11/1000, Loss: 1.3764169216156006\n", "Epoch 21/1000, Loss: 1.2355204820632935\n", "Epoch 31/1000, Loss: 1.0089517831802368\n", "Epoch 41/1000, Loss: 0.7810782194137573\n", "Epoch 51/1000, Loss: 0.5532382726669312\n", "Epoch 61/1000, Loss: 0.39876386523246765\n", "Epoch 71/1000, Loss: 0.2744125723838806\n", "Epoch 81/1000, Loss: 0.20421990752220154\n", "Epoch 91/1000, Loss: 0.14220260083675385\n", "Epoch 101/1000, Loss: 0.09400250762701035\n", "Epoch 111/1000, Loss: 0.07774685323238373\n", "Epoch 121/1000, Loss: 0.0801333636045456\n", "Epoch 131/1000, Loss: 0.0642048567533493\n", "Epoch 141/1000, Loss: 0.04826752468943596\n", "Computing KNN distance matrices using default Scanpy implementation\n", "Computing modality weights\n", "Computing weighted distances for union of 200 nearest neighbors between modalities\n", "0 out of 1789 0.01 seconds elapsed\n", "Selecting top K neighbors\n", "Epoch 151/1000, Loss: 0.14596854150295258\n", "Epoch 161/1000, Loss: 0.07289119064807892\n", "Epoch 171/1000, Loss: 0.05306774377822876\n", "Epoch 181/1000, Loss: 0.039199814200401306\n", "Epoch 191/1000, Loss: 0.033661164343357086\n", "Epoch 201/1000, Loss: 0.030933966860175133\n", "Epoch 211/1000, Loss: 0.02992006577551365\n", "Epoch 221/1000, Loss: 0.026787105947732925\n", "Epoch 231/1000, Loss: 0.0532531812787056\n", "Epoch 241/1000, Loss: 0.04145585745573044\n", "Epoch 251/1000, Loss: 0.0388999879360199\n" ] } ], "source": [ "## COSMOS training \n", "cosmos_comb = cosmos.Cosmos(adata1=adata1,adata2=adata2)\n", "cosmos_comb.preprocessing_data(n_neighbors = 10)\n", "cosmos_comb.train(spatial_regularization_strength=0.05, z_dim=50, \n", " lr=1e-3, wnn_epoch = 500, total_epoch=1000, max_patience_bef=10, max_patience_aft=30, min_stop=200, \n", " random_seed=random_seed, gpu=0, regularization_acceleration=True, edge_subset_sz=1000000)\n", "weights = cosmos_comb.weights\n", "df_embedding = pd.DataFrame(cosmos_comb.embedding)" ] }, { "cell_type": "markdown", "id": "94c47bcb", "metadata": {}, "source": [ "### Clustering of COSMOS integration" ] }, { "cell_type": "code", "execution_count": 5, "id": "25168161", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "res = 0.4, Cluster# = 8\n", "res = 0.42, Cluster# = 9\n", "res = 0.44, Cluster# = 9\n", "res = 0.46, Cluster# = 11\n", "res = 0.48, Cluster# = 10\n", "res = 0.5, Cluster# = 10\n", "res = 0.52, Cluster# = 10\n", "res = 0.54, Cluster# = 10\n", "res = 0.56, Cluster# = 10\n", "res = 0.58, Cluster# = 10\n", "res = 0.6, Cluster# = 11\n", "res = 0.62, Cluster# = 10\n", "res = 0.64, Cluster# = 12\n", "res = 0.66, Cluster# = 12\n", "res = 0.68, Cluster# = 12\n", "optimal res = 0.62\n" ] } ], "source": [ "def screen_res(df_embedding, n_cluster = 5, res_s = 0.1, res_e = 1.0, step = 0.1):\n", " opt_res = res_s\n", " opt_clusters = n_cluster\n", " for res in np.arange(res_s,res_e,step):\n", " embedding_adata = sc.AnnData(df_embedding)\n", " sc.pp.neighbors(embedding_adata, n_neighbors=50, use_rep='X')\n", " sc.tl.leiden(embedding_adata, resolution=float(res))\n", " clusters = list(embedding_adata.obs[\"leiden\"])\n", " cluster_num = len(np.unique(clusters))\n", " print('res = ' + str(round(res, 2)) + ', Cluster# = ' + str(cluster_num))\n", " if cluster_num == n_cluster:\n", " opt_res = res\n", " opt_clusters = clusters\n", " print('optimal res = ' + str(round(opt_res, 2)))\n", " return opt_res, opt_clusters\n", "\n", "# Screening resolution that matches the given number of clusters \n", "opt_res_cosmos, opt_clusters_cosmos = screen_res(df_embedding,res_s = 0.4, res_e = 0.7, step = 0.02,n_cluster = 10)" ] }, { "cell_type": "code", "execution_count": 6, "id": "ff0db886", "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Plotting figures\n", "\n", "adata_new = adata1.copy()\n", "adata_new.obs['Cluster_cosmos'] = opt_clusters_cosmos\n", "adata_new.obs[\"Cluster_cosmos\"]=adata_new.obs[\"Cluster_cosmos\"].astype('category')\n", "\n", "matplotlib.rcParams['font.size'] = 12.0\n", "fig, axes = plt.subplots(1, 1, figsize=(4,3.5))\n", "sz = 40\n", "plot_color=['#e6194b', '#3cb44b', '#ffe119', '#4363d8', '#f58231', '#911eb4', '#46f0f0', '#f032e6', \\\n", " '#bcf60c', '#fabebe', '#008080', '#e6beff', '#9a6324', '#ffd8b1', '#800000', '#aaffc3', '#808000', '#000075', '#000000', '#808080', '#ffffff', '#fffac8']\n", "\n", "domains=\"Cluster_cosmos\"\n", "num_celltype=len(adata_new.obs[domains].unique())\n", "adata_new.uns[domains+\"_colors\"]=list(plot_color[:num_celltype])\n", "titles = 'Domain segmentation after COSMOS'\n", "ax=sc.pl.scatter(adata_new,alpha=1,x=\"x_pos\",y=\"y_pos\",color=domains,title=titles ,color_map=plot_color,show=False,size=sz,ax = axes)\n", "ax.axis('off')\n", "ax.axes.invert_yaxis()" ] }, { "cell_type": "markdown", "id": "d9137d57", "metadata": {}, "source": [ "### UMAP visualization of COSMOS integration" ] }, { "cell_type": "code", "execution_count": 7, "id": "0724dbd3", "metadata": { "scrolled": false }, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# UMAP visualization\n", "umap_2d = UMAP(n_components=2, init='random', random_state=random_seed, min_dist = 0.3,n_neighbors=30)\n", "umap_pos = umap_2d.fit_transform(df_embedding)\n", "adata_new.obs['cosmos_umap_pos_x'] = umap_pos[:,0]\n", "adata_new.obs['cosmos_umap_pos_y'] = umap_pos[:,1]\n", "\n", "# Ploting figures\n", "plot_color=['#e6194b', '#3cb44b', '#ffe119', '#4363d8', '#f58231', '#911eb4', '#46f0f0', '#f032e6', \\\n", " '#bcf60c', '#fabebe', '#008080', '#e6beff', '#9a6324', '#ffd8b1', '#800000', '#aaffc3', '#808000', '#000075', '#000000', '#808080', '#ffffff', '#fffac8']\n", "matplotlib.rcParams['font.size'] = 8.0\n", "fig, axes = plt.subplots(1, 1, figsize=(4,3))\n", "sz = 40\n", "domains=\"Cluster_cosmos\"\n", "num_celltype=len(adata_new.obs[domains].unique())\n", "adata_new.uns[domains+\"_colors\"]=list(plot_color[:num_celltype])\n", "titles = 'UMAP of COSMOS'\n", "ax=sc.pl.scatter(adata_new,alpha=1,x=\"cosmos_umap_pos_x\",y=\"cosmos_umap_pos_y\",color=domains,title=titles ,color_map=plot_color,show=False,size=sz,ax = axes)\n", "ax.axis('off')\n", "plt.tight_layout()\n" ] }, { "cell_type": "markdown", "id": "04d2d303", "metadata": {}, "source": [ "### Showing modality weights of two omics in COSMOS integration" ] }, { "cell_type": "code", "execution_count": 8, "id": "f96dc6d7", "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "layer_labels = opt_clusters_cosmos\n", "labels_uniq = np.unique(layer_labels)\n", "labels = [i for i in range(len(np.unique(layer_labels)))]\n", "index_all = [np.array([i for i in range(len(layer_labels)) if layer_labels[i] == labels_uniq[0]])]\n", "for k in range(1,len(labels)):\n", " temp_idx = np.array([i for i in range(len(layer_labels)) if layer_labels[i] == labels_uniq[k]])\n", " index_all.append(temp_idx) \n", "\n", "wghts_mean = np.mean(weights[index_all[0],:],0)\n", "for k in range(1,len(labels_uniq)):\n", " wghts_mean_temp = np.mean(weights[index_all[k],:],0)\n", " wghts_mean = np.vstack([wghts_mean, wghts_mean_temp])\n", "df_wghts_mean = pd.DataFrame(wghts_mean,columns = ['w1','w2'],index = labels_uniq)\n", "\n", "def plot_weight_value(alpha, label, modality1='RNA', modality2='Protein',order = None):\n", " df = pd.DataFrame(columns=[modality1, modality2, 'label']) \n", " df[modality1], df[modality2] = alpha[:, 0], alpha[:, 1]\n", " df['label'] = label\n", " df = df.set_index('label').stack().reset_index()\n", " df.columns = ['label_COSMOS', 'Modality', 'Weight value']\n", " matplotlib.rcParams['font.size'] = 8.0\n", " fig, axes = plt.subplots(1, 1, figsize=(4,3))\n", " ax = sns.violinplot(data=df, x='label_COSMOS', y='Weight value', hue=\"Modality\",\n", " split=True, inner=\"quart\", linewidth=1, show=False, orient = 'v', order=order)\n", " ax.set_title(modality1 + ' vs ' + modality2) \n", "\n", " plt.tight_layout(w_pad=0.05)\n", "\n", "df_sort_mean = df_wghts_mean.sort_values(by=['w1'])\n", "plot_weight_value(weights, np.array(adata_new.obs['Cluster_cosmos']), order = list(df_sort_mean.index))\n", "\n" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.7.16" } }, "nbformat": 4, "nbformat_minor": 5 }