10x Genomics

10x Genomics Citations

Use of 10x Genomics Trademarks

10x Genomics does not require third parties to include trademark ™ or registered trademark ® symbols for 10X, 10x Genomics, Chromium or any of the rest of its registered marks.

Citation Guidelines

To cite 10x Genomics datasets, user guides, demonstrated protocols, technical notes, applications notes, or 10x Genomics software, use the following formats:

Datasets

PBMCs from C57BL/6 mice (v1, 150x150), Single Cell Immune Profiling Dataset by Cell Ranger 3.1.0, 10x Genomics, (2019, July 24).

User Guides/Demonstrated Protocols

Chromium Single Cell V(D)J Reagent Kits with Feature Barcoding technology for Cell Surface Protein, Document Number CG000186 Rev A, 10x Genomics, (2019, July 25).

Document and Revision Numbers, such as CG000186 Rev A are located on the cover page in user guides and technical notes. Other literature lists the part number in the Copyright note at the bottom of the last page.

Technical Notes/Application Notes

Technical Note – Resolving Cell Types as a Function of Read Depth and Cell Number, Document Number CG000148, 10x Genomics, (2019, April 30).

10x Genomics Software

Use the following format when citing 10x Genomics software:

For example:

Note: When citing software, be sure to specify the relevant software version number.

10x Genomics Cloud Analysis

To cite datasets generated in 10x Genomics Cloud Analysis, use the following format:

For example:

Citations for 10x Genomics Publications

Supernova

Weisenfeld, Neil L., Kumar, Vijay, Shah, Preyas, Church, Deanna M., Jaffe, David B. (2017). Direct determination of diploid genome sequences. Genome Research. 27: 757-767, doi:10.1101/gr.214874.116

Long Ranger

Marks, Patrick, et al, (2019). Resolving the full spectrum of human genome variation using Linked-Reads. Genome Research. 29: 635-645, doi:10.1101/gr.234443.118

Cell Ranger

Zheng, Grace X.Y., Terry, Jessica M., [...] Bielas, Jason H. (2017). Massively parallel digital transcriptional profiling of single cells. Nature Communications. 8: 1-12, doi:10.1038/ncomms14049

Cell Ranger ATAC

Satpathy, Ansuman T. et al, Massively parallel single-cell chromatin landscapes of human immune cell development and intratumoral T cell exhaustion. Nature Biotechnology. 37: 925-936, doi:10.1038/s41587-019-0206-z