Single cell genomics approaches have proven to be a powerful tool to distinguish cell types and understand biology at the resolution of the fundamental unit of life, the cell. After an initial stage of exploration and discovery, single cell genomics is now entering a stage of massive scale up – experiments with more cells, more analytes, and more perturbations.

The UG 100™ is an ideal tool to help facilitate the scale up of single cell and spatial genomics.

• Affordable single cell RNA-seq
• 200-300K cells per run (20-25K reads per cell)
• Tools available to convert output to paired end reads
• Sequencing output compatible with downstream processing tools (CellRangerTM, PIPseekerTM, etc)

Single cell libraries can be easily converted for sequencing on the UG 100™ platform. Downstream analyses show comparable results regardless of the sequencing platform that was used.

Read our single cell app note

Simmons, S.K., Lithwick-Yanai, G., Adiconis, X. et al. Mostly natural sequencing-by-synthesis for scRNA-seq using Ultima sequencing. Nat Biotechnol 41, 204–211 (2023). https://doi.org/10.1038/s41587-022-01452-6

Large scale single cell Perturb-Seq assays open new avenues for researches to study complex biological system. Large Pertub-Seq datasets in combination with new AI methods will open a new era for drug discovery and understanding of complex systems.

Read our collaborator's publication in Cell

Replogle JM, Saunders RA, Pogson AN, Hussmann JA, Lenail A, Guna A, Mascibroda L, Wagner EJ, Adelman K, Lithwick-Yanai G, Iremadze N, Oberstrass F, Lipson D, Bonnar JL, Jost M, Norman TM, Weissman JS. Mapping information-rich genotype-phenotype landscapes with genome-scale Perturb-seq. Cell. 2022 Jul 7;185(14):2559-2575.e28. doi: 10.1016/j.cell.2022.05.013. Epub 2022 Jun 9. PMID: 35688146; PMCID: PMC9380471.