{ "cells": [ { "cell_type": "markdown", "id": "6d6ea10b", "metadata": {}, "source": [ "# OASIS pilot\n", "\n", "Thirty-six compounds over a ten-point dose range, run in U2OS and in HepaRG, plus two batches of assay\n", "development: `cpg0033-oasis-pilot` on the Cell Painting Gallery {cite:p}`Weisbart_2024`.\n", "\n", "It is the dose-response dataset of the package. Every other pinned dataset either fixes one concentration per\n", "compound or, like BBBC021, keeps only the handful of doses its mechanism benchmark needed. A four-parameter\n", "curve has five things to estimate, so three or four concentrations leave it underdetermined and\n", "{func}`~mantispy.tl.dose_response` can report a potency that the data does not support. Here 28 compounds carry\n", "six or more concentrations in **each** of two cell lines, so a curve has something to hold on to and every\n", "compound can be read twice in two different biological backgrounds." ] }, { "cell_type": "code", "execution_count": 1, "id": "389f4a08", "metadata": { "execution": { "iopub.execute_input": "2026-10-21T00:59:54.929593Z", "iopub.status.busy": "2026-10-21T00:59:54.929159Z", "iopub.status.idle": "2026-10-21T00:59:59.243885Z", "shell.execute_reply": "2026-10-21T00:59:59.242885Z" } }, "outputs": [ { "data": { "text/plain": [ "AnnData object with n_obs × n_vars = 4604 × 99\n", " obs: 'Metadata_plate_map_name', 'Metadata_Plate', 'Metadata_Well', 'Metadata_Site_Count', 'Metadata_Count_Cells', 'Metadata_Count_CellsIncludingEdges', 'Metadata_Count_Cytoplasm', 'Metadata_Count_Nuclei', 'Metadata_Count_NucleiIncludingEdges', 'Metadata_Object_Count', 'Metadata_Row', 'Metadata_Col', 'Metadata_CellCount', 'Metadata_SiteCount', 'Metadata_Compound', 'Metadata_Concentration', 'Metadata_ConcentrationUnit', 'Metadata_ConcentrationRecorded', 'Metadata_CellLine', 'Metadata_Control', 'Metadata_Control_Type', 'Metadata_Perturbation', 'Metadata_Perturbation_Type'\n", " var: 'object', 'feature_group', 'feature', 'channel', 'scale', 'angle', 'gray_levels', 'radial_bin', 'params', 'is_feature', 'feature_kind'\n", " uns: 'mantispy'\n", " layers: None (.X)" ] }, "execution_count": 1, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import matplotlib.pyplot as plt\n", "import numpy as np\n", "import pandas as pd\n", "\n", "import mantispy as mt\n", "\n", "adata = mt.ds.oasis_pilot()\n", "adata" ] }, { "cell_type": "markdown", "id": "6e5bd3fc", "metadata": {}, "source": [ "## Source\n", "\n", "| file | from | holds |\n", "| --- | --- | --- |\n", "| `_normalized_feature_select_batch.csv.gz` | `cpg0033-oasis-pilot/broad/workspace/profiles` | the well-level profiles, normalized and feature-selected per batch upstream |\n", "| `.txt` | `cpg0033-oasis-pilot/broad/workspace/metadata//platemap` | the plate map: which compound sits in which well, and at what concentration |\n", "\n", "Twelve plates over four batches, read down to the 99 features they share. Columns are intersected because the\n", "batches were feature-selected separately, which is the first thing to keep in mind: **the two cell lines were\n", "processed apart**, so a distance computed in one is not on the same scale as a distance in the other." ] }, { "cell_type": "code", "execution_count": 2, "id": "14c9f7db", "metadata": { "execution": { "iopub.execute_input": "2026-10-21T00:59:59.247486Z", "iopub.status.busy": "2026-10-21T00:59:59.247154Z", "iopub.status.idle": "2026-10-21T00:59:59.279760Z", "shell.execute_reply": "2026-10-21T00:59:59.278756Z" } }, "outputs": [ { "data": { "text/html": [ "
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wellsDMSOemptycompoundsmedian_cells
Metadata_CellLineMetadata_Plate
HepaRGBR001456903833240365250.0
BR001456913843240364842.0
BR001456923843240364645.0
BR001456933843240365924.0
BR001456943843240365245.5
BR001456953843240364250.0
BR00147878384320375573.5
BR00147879384320375140.5
U2OSBR00144577383324036652.0
BR00144582383324036688.0
\n", "
" ], "text/plain": [ " wells DMSO empty compounds median_cells\n", "Metadata_CellLine Metadata_Plate \n", "HepaRG BR00145690 383 32 40 36 5250.0\n", " BR00145691 384 32 40 36 4842.0\n", " BR00145692 384 32 40 36 4645.0\n", " BR00145693 384 32 40 36 5924.0\n", " BR00145694 384 32 40 36 5245.5\n", " BR00145695 384 32 40 36 4250.0\n", " BR00147878 384 32 0 37 5573.5\n", " BR00147879 384 32 0 37 5140.5\n", "U2OS BR00144577 383 32 40 36 652.0\n", " BR00144582 383 32 40 36 688.0" ] }, "execution_count": 2, "metadata": {}, "output_type": "execute_result" } ], "source": [ "obs = adata.obs\n", "per_plate = obs.groupby([\"Metadata_CellLine\", \"Metadata_Plate\"], observed=True).agg(\n", " wells=(\"Metadata_Well\", \"size\"),\n", " DMSO=(\"Metadata_Control\", \"sum\"),\n", " empty=(\"Metadata_Compound\", lambda column: int((column.astype(str) == \"EMPTY\").sum())),\n", " compounds=(\"Metadata_Compound\", lambda column: column[~column.astype(str).isin([\"DMSO\", \"EMPTY\"])].nunique()),\n", " median_cells=(\"Metadata_CellCount\", \"median\"),\n", ")\n", "per_plate" ] }, { "cell_type": "markdown", "id": "ac1a472d", "metadata": {}, "source": [ "Two things stand out already. HepaRG contributes eight plates and U2OS four, so the lines are not equally\n", "replicated, and the median cell count runs several-fold apart between them. Both are properties of the\n", "experiment, not of the loader, and both matter when reading results across the lines.\n", "\n", "## The plate maps do not agree with one another\n", "\n", "The four batches were laid out at different times and none of them names its columns the same way. The loader\n", "reads whichever pair each plate map carries:\n", "\n", "| batch | compound column | concentration column |\n", "| --- | --- | --- |\n", "| `2024_03_29_OASIS_U2OS_AssayDev` | `treatment` | `concentration_uM` |\n", "| `20241115_OASIS_U2OS_AD2`, `20241115_OASIS_HepaRG_AD` | `Compound Name` | `assay_conc_uM` |\n", "| `2025_07_29_OASIS_HepaRG_Ptx_AD2` | `compound` | `compound_concentration` |\n", "\n", "Two further quirks would each cost wells if ignored. In the two `Compound Name` batches that column is **blank**\n", "for every well holding no compound, and the identifier column `BROAD_ID` carries `DMSO` or `EMPTY` instead. One\n", "batch writes the line as `HepRG` and the others as `HepaRG`, which would split every per-line grouping in two.\n", "\n", "The first quirk is worth seeing rather than taking on trust, because reading the obvious column alone loses the\n", "controls, and a screen without controls silently loses every normalization and every hit call that depends on\n", "them:" ] }, { "cell_type": "code", "execution_count": 3, "id": "eee4a087", "metadata": { "execution": { "iopub.execute_input": "2026-10-21T00:59:59.282919Z", "iopub.status.busy": "2026-10-21T00:59:59.282776Z", "iopub.status.idle": "2026-10-21T01:00:00.066322Z", "shell.execute_reply": "2026-10-21T01:00:00.065223Z" } }, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "from mantispy.ds._datasets import _files\n", "\n", "naive, recovered = [], []\n", "for path in _files(\"oasis_pilot\", None, select=lambda name: name.endswith(\"__platemap.txt\")):\n", " frame = pd.read_csv(path, sep=\"\\t\", dtype=str)\n", " plate = path.name.split(\"__\")[1]\n", " column = next(c for c in (\"treatment\", \"Compound Name\", \"compound\") if c in frame)\n", " named = frame[column].notna()\n", " naive.append({\"plate\": plate, \"wells\": int(named.sum())})\n", " filled = frame[column].fillna(frame[\"BROAD_ID\"]) if \"BROAD_ID\" in frame else frame[column]\n", " recovered.append({\"plate\": plate, \"wells\": int(filled.notna().sum())})\n", "\n", "naive, recovered = pd.DataFrame(naive).set_index(\"plate\"), pd.DataFrame(recovered).set_index(\"plate\")\n", "fig, ax = plt.subplots(figsize=(8, 3))\n", "x = np.arange(len(naive))\n", "ax.bar(x, recovered[\"wells\"], color=\"0.85\", label=\"with the BROAD_ID fallback\")\n", "ax.bar(x, naive[\"wells\"], color=\"#3a7ca5\", label=\"reading the compound column alone\")\n", "ax.set_xticks(x, naive.index, rotation=45, ha=\"right\")\n", "ax.set(\n", " ylabel=\"wells annotated\",\n", " title=f\"{int((recovered['wells'] - naive['wells']).sum())} wells recovered, all of them DMSO or empty\",\n", ")\n", "ax.legend(frameon=False, loc=\"lower right\")\n", "fig.tight_layout()" ] }, { "cell_type": "markdown", "id": "046d52f4", "metadata": {}, "source": [ "Eight plates lose 72 wells each that way, 576 in all. Every one of them is a control or a deliberately empty\n", "well, which is exactly the set you cannot afford to drop.\n", "\n", "## The design, as the plate sees it\n", "\n", "The dosed plates are laid out as a dilution series across the plate, with vehicle and empty wells interleaved.\n", "Drawing the concentration on the well grid shows the design and where the controls sit:" ] }, { "cell_type": "code", "execution_count": 4, "id": "b653a03e", "metadata": { "execution": { "iopub.execute_input": "2026-10-21T01:00:00.070242Z", "iopub.status.busy": "2026-10-21T01:00:00.070056Z", "iopub.status.idle": "2026-10-21T01:00:00.476952Z", "shell.execute_reply": "2026-10-21T01:00:00.475983Z" } }, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "dosed_plate = \"BR00145690\"\n", "fig, axes = plt.subplots(1, 2, figsize=(11, 3.4))\n", "mt.pl.plate(adata, color=\"Metadata_Concentration\", plate=dosed_plate, ax=axes[0], cmap=\"magma\")\n", "axes[0].set_title(f\"{dosed_plate}: concentration (µM)\")\n", "mt.pl.plate(adata, color=\"Metadata_CellCount\", plate=dosed_plate, ax=axes[1], cmap=\"viridis\")\n", "axes[1].set_title(f\"{dosed_plate}: cells per well\")\n", "fig.tight_layout()" ] }, { "cell_type": "markdown", "id": "5438ff1d", "metadata": {}, "source": [ "The blank cells on the left are the wells with no concentration to show: DMSO and the empties. On the right the\n", "same plate in cell counts, which is where a dose series first becomes visible: the columns that carry the\n", "highest concentrations of the more toxic compounds are the sparsest.\n", "\n", "## Dose coverage\n", "\n", "Concentrations are micromolar and span nearly six orders of magnitude. What matters for a curve fit is not the\n", "range but how many distinct concentrations each compound actually carries:" ] }, { "cell_type": "code", "execution_count": 5, "id": "43250f1c", "metadata": { "execution": { "iopub.execute_input": "2026-10-21T01:00:00.480768Z", "iopub.status.busy": "2026-10-21T01:00:00.480595Z", "iopub.status.idle": "2026-10-21T01:00:00.824991Z", "shell.execute_reply": "2026-10-21T01:00:00.824424Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "56 compound-and-line pairs carry six or more concentrations\n" ] }, { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "treated = obs[~obs[\"Metadata_Control\"] & (obs[\"Metadata_Compound\"].astype(str) != \"EMPTY\")]\n", "doses = treated.groupby([\"Metadata_CellLine\", \"Metadata_Compound\"], observed=True)[\"Metadata_Concentration\"].nunique()\n", "\n", "fig, axes = plt.subplots(1, 2, figsize=(11, 3.2))\n", "axes[0].hist(doses.to_numpy(), bins=np.arange(0.5, 12.5), color=\"#3a7ca5\")\n", "axes[0].axvline(5.5, color=\"#a93a31\", ls=\"--\", lw=1)\n", "axes[0].set(\n", " xlabel=\"distinct concentrations\",\n", " ylabel=\"compound and cell line pairs\",\n", " title=\"four or fewer points cannot hold a 4PL\",\n", ")\n", "for line, colour in ((\"U2OS\", \"#3a7ca5\"), (\"HepaRG\", \"#c1666b\")):\n", " values = treated.loc[treated[\"Metadata_CellLine\"] == line, \"Metadata_Concentration\"]\n", " axes[1].hist(np.log10(values[values > 0]), bins=40, alpha=0.6, color=colour, label=line)\n", "axes[1].set(xlabel=\"log10 concentration (µM)\", ylabel=\"wells\", title=\"concentrations tested\")\n", "axes[1].legend(frameon=False)\n", "fig.tight_layout()\n", "print(f\"{int((doses >= 6).sum())} compound-and-line pairs carry six or more concentrations\")" ] }, { "cell_type": "markdown", "id": "b8202723", "metadata": {}, "source": [ "### One concentration, written two ways\n", "\n", "The plate maps disagree on precision rather than on value. One batch records the concentration the dilution\n", "produced, `0.0152416` µM, and another records it rounded, `0.015`. Nothing downstream can tell that these are\n", "one level: `groupby` splits a treatment's wells across the two spellings, and\n", "{func}`~mantispy.tl.dose_response` reports more distinct doses than were ever plated.\n", "\n", "So a level written to fewer decimals is read as the finer level that rounds to it, which is a statement about\n", "how the number was recorded rather than a tolerance fitted to the data. The matching runs within a compound,\n", "because a compound's levels are one dilution series and cannot collide; across the whole plate map they can,\n", "since berberine's 25 µM and the main ladder's 33.3 µM are a third apart and are genuinely different doses,\n", "closer together than `0.000762` and `0.001`, which are one dose.\n", "\n", "`Metadata_Concentration` is the result, the dose each well was meant to get, and it names\n", "`Metadata_Perturbation` so replicates stay in one group. `Metadata_ConcentrationRecorded` keeps what the plate\n", "map wrote." ] }, { "cell_type": "code", "execution_count": 6, "id": "47b37e6a", "metadata": { "execution": { "iopub.execute_input": "2026-10-21T01:00:00.829009Z", "iopub.status.busy": "2026-10-21T01:00:00.828827Z", "iopub.status.idle": "2026-10-21T01:00:00.839471Z", "shell.execute_reply": "2026-10-21T01:00:00.838573Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "distinct doses: 141 recorded, 104 after aligning\n", "largest correction: 23.80%\n", "476 of 3880 dosed wells move\n" ] }, { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
recordedaligned
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" ], "text/plain": [ " recorded aligned\n", "3268 0.001 0.000762\n", "3405 0.001 0.001140\n", "3319 0.002 0.001910\n", "3356 0.002 0.002290\n", "3373 0.003 0.003430" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "raw = obs[\"Metadata_ConcentrationRecorded\"].to_numpy(dtype=float)\n", "aligned = obs[\"Metadata_Concentration\"].to_numpy(dtype=float)\n", "dosed = np.isfinite(raw) & (raw > 0)\n", "\n", "print(f\"distinct doses: {len(np.unique(raw[dosed]))} recorded, {len(np.unique(aligned[dosed]))} after aligning\")\n", "print(f\"largest correction: {100 * np.max(np.abs(aligned[dosed] / raw[dosed] - 1)):.2f}%\")\n", "moved = pd.DataFrame({\"recorded\": raw[dosed], \"aligned\": aligned[dosed]}).query(\"recorded != aligned\")\n", "print(f\"{len(moved)} of {int(dosed.sum())} dosed wells move\")\n", "moved.drop_duplicates().sort_values(\"aligned\").head()" ] }, { "cell_type": "markdown", "id": "c17cdba7", "metadata": {}, "source": [ "## What a dose series looks like in the cells\n", "\n", "A dose series shows up first in the cell count. Staurosporine is a pan-kinase inhibitor and kills cells at\n", "concentrations where most compounds do nothing; mupirocin inhibits a bacterial enzyme and has no target in a\n", "human cell at all. They bracket what this plate map can show." ] }, { "cell_type": "code", "execution_count": 7, "id": "02184bd2", "metadata": { "execution": { "iopub.execute_input": "2026-10-21T01:00:00.842741Z", "iopub.status.busy": "2026-10-21T01:00:00.842579Z", "iopub.status.idle": "2026-10-21T01:00:01.287070Z", "shell.execute_reply": "2026-10-21T01:00:01.286221Z" } }, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "def per_dose(compound, line, column):\n", " \"\"\"The median of `column` at each concentration of one compound in one cell line.\"\"\"\n", " block = treated[(treated[\"Metadata_Compound\"].astype(str) == compound) & (treated[\"Metadata_CellLine\"] == line)]\n", " return block.groupby(\"Metadata_Concentration\", observed=True)[column].median()\n", "\n", "\n", "fig, axes = plt.subplots(1, 2, figsize=(9.5, 3.4), sharey=True)\n", "for ax, compound in zip(axes, [\"Staurosporine\", \"MUPIROCIN\"], strict=False):\n", " for line, marker in ((\"U2OS\", \"o\"), (\"HepaRG\", \"s\")):\n", " counts = per_dose(compound, line, \"Metadata_CellCount\")\n", " vehicle = obs[(obs[\"Metadata_CellLine\"] == line) & obs[\"Metadata_Control\"]][\"Metadata_CellCount\"].median()\n", " ax.plot(counts.index, counts.to_numpy() / vehicle, marker=marker, label=line)\n", " ax.set(xscale=\"log\", xlabel=\"concentration (µM)\", title=compound)\n", " ax.axhline(1.0, color=\"0.7\", lw=0.8, zorder=0)\n", "axes[0].set_ylabel(\"cells, relative to DMSO\")\n", "axes[0].legend(frameon=False)\n", "fig.tight_layout()" ] }, { "cell_type": "markdown", "id": "764f75a3", "metadata": {}, "source": [ "## What it is for\n", "\n", "The count is only the crudest readout. A compound can reshape cells long before it kills any, and a\n", "concentration-response fit on the profile finds that earlier than a fit on the count does.\n", "[Concentration response](../tutorials/compounds/dose_response.ipynb) runs that analysis on this screen: the\n", "continuous hit call, what it does with compounds that never plateau, how to read it beside a cell count, and\n", "whether a call made in HepaRG survives in U2OS.\n", "\n", "One property of the design belongs here rather than there. This plate map spends its wells on concentrations\n", "rather than replicates, so a compound at one concentration usually sits in one or two wells. A per-concentration\n", "test is therefore thin, and the evidence lives in the shape across the whole series. That is what the dataset is\n", "for, and what it is not for.\n", "\n", "## Caveats\n", "\n", "- The profiles arrive normalized and feature-selected per batch, so the two cell lines were processed apart.\n", " Compare distances within a line; across lines, compare calls.\n", "- HepaRG has eight plates and U2OS four. The HepaRG calls rest on more wells.\n", "- The assay development batch doses DMSO itself, so a control well there carries a concentration.\n", " `Metadata_Control` marks the compound, not the dose.\n", "- `EMPTY` wells hold no compound and no vehicle. They keep their label rather than being dropped, and should be\n", " excluded before scoring, as above.\n", "- Concentrations are micromolar throughout, including the assay development batch, which reports its own\n", " `concentration_uM`." ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "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": "3.13.15" } }, "nbformat": 4, "nbformat_minor": 5 }