diff --git a/docs/tutorials/tutorial_5k_bcr.ipynb b/docs/tutorials/tutorial_5k_bcr.ipynb
index 4625e188a..89172da91 100644
--- a/docs/tutorials/tutorial_5k_bcr.ipynb
+++ b/docs/tutorials/tutorial_5k_bcr.ipynb
@@ -198,18 +198,16 @@
    "metadata": {},
    "source": [
     "## BCR Quality Control\n",
-    "Although many {term}`AIRR` analysis tools recommend to only include single paired AIR sequences, there is increasing evidence that {term}`allelically <Alellically included B-cells>` and {term}`isotypically included B cells <Isotypically included B-cells>` are quite common. Therefore, some information might be missed by excluding these cells from analysis {cite}`Zhu.2023`\n",
+    "Although many {term}`AIRR` analysis tools recommend to only include single paired AIR sequences, there is increasing evidence that {term}`allelically <Alellically included B-cells>` and {term}`isotypically included B cells <Isotypically included B-cells>` are quite common {cite}`Zhu.2023`. During the QC process, the user can decide to filter or keep these cases as appropriate for their analysis. \n",
     "\n",
-    "The dataset used here was pre-filtered as part of the subsampling process, and filtering steps are shown for the sake of completeness below. Cells flagged as `orphan` were removed, because they can't be utilized for downstream analysis, where full AIR sequence information is required. Similar, cells flagged as `multichain` are likely [undetected doublets](https://www.sc-best-practices.org/air_repertoire/ir_profiling.html#quality-control) and should be excluded as well.\n",
+    "The demo dataset used here is already pre-filtered, and filtering steps are shown for the sake of completeness below. Typically, we suggest to remove cells flagged as `orphan`, because they cannot be utilized for downstream analyses that require full AIR sequence information. Similarly, cells flagged as `multichain` are likely [undetected doublets](https://www.sc-best-practices.org/air_repertoire/ir_profiling.html#quality-control) and should be excluded.\n",
     "\n",
     ":::{note}\n",
     "**Standard *Scirpy* preprocessing workflow**\n",
     "\n",
-    "- {func}`scirpy.pp.index_chains` -> create {ref}`chain indices <chain-indices>` for the receptor data\n",
-    "- {func}`scirpy.tl.chain_qc`. -> add a summary about the immune cell-receptor compositions to `.obs`\n",
-    "- filter as desired\n",
-    "\n",
-    "There is now also a new flag available (IGH+IGK/L) to easily identify {term}`isotypically included B cells <Isotypically included B-cells>` that productively express both lambda and kappa light chains {cite}`Shi.2019`\n",
+    "1. {func}`scirpy.pp.index_chains`: create {ref}`chain indices <chain-indices>` for the receptor data\n",
+    "2. {func}`scirpy.tl.chain_qc`: add a summary about the immune cell-receptor compositions to `.obs`\n",
+    "3. filter as desired\n",
     ":::\n",
     "\n",
     "For more information regarding preprocessing and filtering, especially for transcriptomics data, please refer to the [single cell best practice book](https://www.sc-best-practices.org/preamble.html). If you want to gain a better understanding regarding the function calls shown below, please have a look on our dedicated [T cell tutorial](https://scirpy.scverse.org/en/latest/tutorials/tutorial_3k_tcr.html#creating-chain-indices)"
@@ -222,10 +220,9 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "# ir.pp.index_chains(mdata, filter = [\"productive\",\"require_junction_aa\"])\n",
-    "# ir.tl.chain_qc(mdata)\n",
-    "\n",
-    "# mu.pp.filter_obs(mdata, \"airr:chain_pairing\", lambda x: ~np.isin(x, [\"orphan VDJ\", \"orphan VJ\", \"ambiguous\",\"multichain\"]))"
+    "ir.pp.index_chains(mdata, filter = [\"productive\",\"require_junction_aa\"])\n",
+    "ir.tl.chain_qc(mdata)\n",
+    "mu.pp.filter_obs(mdata, \"airr:chain_pairing\", lambda x: ~np.isin(x, [\"orphan VDJ\", \"orphan VJ\", \"ambiguous\",\"multichain\"]))"
    ]
   },
   {
@@ -233,7 +230,7 @@
    "id": "16f08e5e",
    "metadata": {},
    "source": [
-    "## Investigating Transcriptomics data"
+    "## Preprocessing Transcriptomics Data"
    ]
   },
   {
@@ -241,50 +238,8 @@
    "id": "83ae52b0-5e9e-4ad4-8be9-d6087b3f0843",
    "metadata": {},
    "source": [
-    "Gene expression (GEX) data needs to be filtered and preprocessed as with any other single-cell dataset.\n",
-    "As this was already done by the original study, please refer for a real dataset to the [scverse tutorials](https://scverse.org/learn/)\n",
-    "and the [single-cell best practice book](https://sc-best-practices.org/). Either way, we can use information gained through analysing transcriptomics data to enhance information from plots, e.g. generated with {func}`scirpy.pl.group_abundance`."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 16,
-   "id": "b277c7d3",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<Axes: title={'center': 'Number of cells in gex:Status_on_day_collection_summary by gex:full_clustering'}, xlabel='gex:Status_on_day_collection_summary', ylabel='Number of cells'>"
-      ]
-     },
-     "execution_count": 16,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 412.8x309.6 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "image/png": {
-       "height": 358,
-       "width": 728
-      }
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "ir.pl.group_abundance(\n",
-    "    mdata,\n",
-    "    target_col=\"gex:full_clustering\",\n",
-    "    groupby=\"gex:Status_on_day_collection_summary\",\n",
-    "    sort=[\"Asymptomatic\", \"Mild\", \"Moderate\", \"Severe\", \"Critical\"],\n",
-    ")"
+    "Certain analyses can combine transcriptomics and AIRR information. Gene expression (GEX) data  needs to be filtered and preprocessed as with any other single-cell dataset. Please refer for a real dataset to the [scverse tutorials](https://scverse.org/learn/)\n",
+    "and the [single-cell best practice book](https://sc-best-practices.org/) for advice. The transcriptomics data in this demo dataset has already been prepared appropriately. "
    ]
   },
   {
@@ -312,15 +267,14 @@
     "      - Plot clonotype network colored by different parameters.\n",
     "```\n",
     "\n",
-    "Which sequences originated from a common unmutated germline sequence is a critical step in AIRR-seq. In `Scirpy` we generally distinguish between {term}`clonotypes <Clonotype>` and {term}`clonotype clusters <Clonotype cluster>`. Because of {term}`somatic hypermutation <SHM>` clonotypes wouldn't correctly represent clonal relationship in the case of BCR, and therefore we have to define certain criteria to cluster similar sequences into clonotype clusters.\n",
-    "\n",
-    "Currently, there is no commonly agreed best practice on how to define clonotype cluster for BCR sequences, and it remains an active research field {cite}`Yaari.2015`. We made use of the existing infrastructure of *Scirpy* to define BCR clonotype cluster with a network-based approach, which was shown to be simple, but effective {cite}`Balashova.2024`.\n",
+    "In `Scirpy` we generally distinguish between {term}`clonotypes <Clonotype>` (group of cells that have the same anscestor and identical receptors) and {term}`clonotype clusters <Clonotype cluster>` (group of cells that have similar receotors). Because of {term}`somatic hypermutation <SHM>` the above definition of clonotypes wouldn't correctly represent clonal relationship in the case of BCR, and therefore we have to define certain criteria to cluster similar sequences into clonotype clusters.\n",
     "\n",
-    "We implemented a new distance metric called \"normalized_hamming\" which calculates the hamming distance between junction sequences normalized on their respective length. This is useful to treat longer and smaller junction sequences equally {cite}`Gupta.2017`. By using either \"hamming\" or \"normalized_hamming\" as a metric we are assuming that members of a clonotype cluster have the same junction-lengths which might be a source of bias we should be aware of {cite}`Kepler.2014`.\n",
+    "Currently, there is no commonly agreed best practice on how to define clonotype cluster for BCR sequences, and it remains an active research field {cite}`Yaari.2015`. In `Scirpy`, we implemented a simple, yet effective, network-based approach to define BCR clonotype clusters {cite}`Balashova.2024` leveraging the same underlying functionality we had already in place for TCRs. \n",
     "\n",
-    "With {func}`scirpy.pp.ir_dist` we can calculate the full pairwise-distance matrix between each junction sequence for each light and heavy chain in the dataset. By setting `min_dist_histogram = True` the distance-to-nearest distribution of the junction sequences between VJ-chains (light) and VDJ-chains (heavy) will be displayed, respectively. We could set a `cutoff` based on this distance-to-nearest plot to choose a dataset-based cutoff that will separate the bimodality between sequences with closely related sequences from sequences without closely related sequences {cite}`Gupta.2017`. Another common approach is to use a more generic threshold of e.g. 85% junction similarity (`cutoff = 15`). It is recommended to use nucleotide (`sequence = nt`) similarity over amino acid similarity (`sequence = aa`), because SHM acts on the nucleotide level {cite}`Yaari.2015`.\n",
+    "With {func}`scirpy.pp.ir_dist` we can calculate the full pairwise-distance matrix between each junction sequence for each light and heavy chain in the dataset. For BCRs, we recommend the `normalized_hamming` distance which calculates the hamming distance between junction sequences normalized to their respective length applied to nucleotides (`sequence = nt`) rather than amino acids (`sequence = aa`), because SHM acts on the nucleotide level {cite}`Yaari.2015`. \n",
     "\n",
-    "The code below resembles the clonotype cluster conditions of the original study ({cite}`Stephenson.2021`), but with clustering based on the nucleotide level instead of amino acid level."
+    "To choose a distance cutoff, we can either use a generic threshold of e.g. 85% junction similarity (`cutoff = 15`), or choose one based on the empirical distribution of distances. \n",
+    "To this end, setting `min_dist_histogram = True` will display the distance-to-nearest distribution of the junction sequences between VJ-chains (light) and VDJ-chains (heavy), respectively. A cutoff is commonly selected such that it separates the bimodality between sequences with closely related sequences from sequences without closely related sequences {cite}`Gupta.2017`. "
    ]
   },
   {