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10x Genomics
Chromium Single Cell Immune Profiling

Release notes for Cell Ranger 7.0 (May 17, 2022):

Changes that apply to 5' Immune Profiling analysis

  1. Support for gamma-delta libraries: The cellranger multi pipeline can process T cell receptor (TCR) libraries enriched for gamma (TRG) and delta (TRD) chains. 10x Genomics does not officially support TRG/D analysis with a reagent kit. Please note that, only CDR3 annotation is available for TRG/D, and the quality of annotations cannot be guaranteed. Users must specify VDJ-T-GD as the feature_type in the cellranger multi config CSV as TRG/D chains cannot be autodetected. A web_summary alert is displayed to indicate the use of an unsupported workflow. No TRG/D analysis is available via the cellranger vdj pipeline.

  2. V(D)J Reference updated: The recommended V(D)J reference packages for human and mouse have been updated from version 5.0 to 7.0. The changes to the V(D)J reference sequences are listed below:

HUMAN:


MOUSE:


  1. V(D)J web summary: In the web_summary.html file produced by cellranger vdj, the Analysis tab has been renamed to VDJ.

New feature: Fixed RNA Profiling

  1. Cell Ranger 7.0 is required for analysis of Fixed RNA Profiling data. Instructions for running the cellranger multi subcommand are described in the running multi pipeline page. This includes a new option, probe-set, to specify the probe set CSV file. Output files are described in the Understanding Outputs section. The Fixed RNA Profiling algorithms section includes descriptions of the new methods that were developed for processing Fixed RNA Profiling data.

Major updates

  1. To maximize sensitivity for whole transcriptome 3’/5’ Single Cell Gene Expression and 3’ Cell Multiplexing experiments, introns will be included in the analysis by default for cellranger count and multi. There will be an informational alert in the count and multi web summaries to indicate that intronic reads were included in your analysis. While not recommended, users can exclude introns by setting include-introns=false in Cell Ranger. This change does not apply to the 3’/5’ Targeted Gene Expression or Fixed RNA Profiling assays, as both target exonic sequences. Learn more here.

  2. CRISPR Guide Capture libraries can be aggregated with cellranger aggr. This addition allows users to combine large CRISPR assays across multiple GEM wells. There are no changes to aggr inputs – the presence of CRISPR libraries in the molecule_info.h5 input files enables CRISPR aggregation. Normalization is enabled by default for both Gene Expression and CRISPR libraries. Changes to the normalization parameters affect both libraries. CRISPR aggregation generates the crispr_analysis folder in the outs/ directory. The structure of the crispr_analysis folder is similar to the CRISPR outputs from count.

General improvements

  1. Users no longer need to specify expect-cells for cellranger count and multi pipelines due to improvements in the gene expression cell calling algorithm. The expected number of cells can either be auto-estimated (recommended) or users can still provide a reasonable estimate to expect-cells.

  2. The new check-library-compatibility option allows users to disable the default check for 10x Barcode overlap when multiple libraries are specified for cellranger count and multi (3' Gene Expression, 5' Immune Profiling).

  3. For 3’ Cell Multiplexing analysis in cellranger multi, users can override Cell Ranger’s cell calling and tag calling algorithms with the custom cell assignment input file specified by the barcode-sample-assignment option in the multi config CSV file.

  4. Modifications to the 3’ Cell Multiplexing CMO tag calling algorithm enable users to recover viable singlet data from “blank” assignments.

  5. The following per-sample output files from cellranger multi have been renamed:

Cell Ranger 6.1.2 outputs Cell Ranger 7.0 outputs
cloupe.cloupe sample_cloupe.cloupe
sample_barcodes.csv sample_filtered_barcodes.csv
sample_feature_bc_matrix sample_filtered_feature_bc_matrix
sample_feature_bc_matrix.h5 sample_filtered_feature_bc_matrix.h5


6. Secondary analysis outputs will be named to reflect which library they are specific to (gene_expression_*, antibody_capture_*, crispr_guide_capture_*, multiplexing_capture_*). The secondary analysis clustering, PCA/t-SNE/UMAP, and differential gene expression outputs are supported for Gene Expression and Antibody Capture libraries, while PCA/t-SNE/UMAP outputs are supported for CRISPR Guide Capture and Cell Multiplexing libraries. For example:

└── analysis
    └── pca
        ├── antibody_capture_10_components/
        └── gene_expression_10_components/
  1. The cellranger count web summary “Analysis” tab has been renamed to “Gene Expression”. There is an “Antibody” tab for Antibody Capture analysis, which includes a t-SNE projection plot by clustering and a histogram of antibody counts.

  2. The cellranger multi web summary (3' Gene Expression, 5' Immune Profiling) “Sample” view has been renamed to “Cells”. The “Antibody” tab includes a t-SNE projection plot by clustering. The mapping metrics, sequencing saturation plot, and median genes per cell plot are displayed on the “Library” view (previously appeared on “Sample” and “Library” view).

Bug fixes

  1. Improved error messages and better handling of poorly formatted inputs in cellranger mkref. Enable users to generate references for analyses with large genomes containing chromosomes longer than 512Mbp.

  2. Fixed a bug that resulted in a segmentation fault error when mapping to references that contain small contigs, for example, the rabbit genome.

  3. Removed the Inconsistent Throughput Detected alert in web summary when it should not appear.

  4. Fixed a bug where VDJ pipeline failed for specific CentOS/RHEL 7 kernels.

  5. Bundles the latest version of bamtofastq (v1.4.1) in Cell Ranger 7.0 tarball.

  6. Fixed a bug where bamtofastq failed if the R1 read length was >26bp.