, printed on 06/28/2022
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.
To cite 10x Genomics datasets, user guides, demonstrated protocols, technical notes, applications notes, or 10x Genomics software, use the following formats:
PBMCs from C57BL/6 mice (v1, 150x150), Single Cell Immune Profiling Dataset by Cell Ranger 3.1.0, 10x Genomics, (2019, July 24).
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 Note – Resolving Cell Types as a Function of Read Depth and Cell Number, Document Number CG000148, 10x Genomics, (2019, April 30).
Use the following format when citing 10x Genomics software:
Note: When citing software, be sure to specify the relevant software version number.
To cite datasets generated in 10x Genomics Cloud Analysis, use the following format:
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
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
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
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