bioRxivGenomicsPreprint
High-Throughput Multiomics Profiling of Model Systems Using the AVITI24 Platform
Tyler Lopez, Daniel J. HonigfortiD, Adeline Mah, Connor ThompsoniD, Vivian T. DieniD, Mariam Dawood, Eva Frankel, Derek Fuller, Claudia Jamison, Ryan Kelley, Jean Kwon, Yu LiuiD, Pin Ren, Sanchari Saha, Haosen WangiD, Jennifer Wong, Da Li ZhaoiD, Minna Abtahi, Andrew Altomare, Rosita BajariiD, Ava M. Bellizzi, Sierra Bracamonte, Alex Bradfield, Colin Brown-Greaves, Chris A. Bui, , Sinan ArslaniD
Abstract
We present a multiomics platform comprising Teton, a detection assay system, and AVITI24, a dual-flowcell instrument that performs both cellular imaging and sequencing readout. Teton integrates a compartmentalized flowcell for cell culture with methods to measure morphology, RNA, and protein at subcellular resolution. The platform quantifies morphological features through cell painting of 6 cellular components, RNA expression of up to 350 transcripts via sequencing of oligonucleotides hybridized to mRNA, and protein expression of up to 200 targets using antibody-linked oligonucleotide sequencing. The flow cell accommodates >1 million cells in a 10 cm squared open-well format or can be subdivided into 12 or 48 wells to support experiments with multiple conditions or time points. We describe and validate the detection methods of the platform and showcase its capabilities by co-culturing three cancer cell lines and elucidating the cellular pathways triggered by various drug treatments as a function of time. Using multiple time points enables us to capture the dynamics of cellular processes including receptor activation and signaling cascades. The results demonstrate how different cancer cells evade TNF-induced apoptosis by activating compensatory signaling programs that maintain survival despite pro-apoptotic cues. Our model system replicates previously published results and highlights the versatility of the platform in enabling rapid, high-throughput analysis of complex cellular responses in varied biological contexts.
- organism: human
- assay: scRNA-seq
- assay: proteomics
- assay: spatial transcriptomics
- research focus: cell type annotation
- research focus: trajectory inference
- research focus: drug response / drug discovery
- approach: experimental assay
- Citations
- 5
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- An integrated protocol for multiplexed DNA FISH and protein detection in large tissue sections
Eleanor M. O'Roberts, Pranauti Panshikar, … Charlotte Stadler·bioRxiv·May 22, 2026
- Protocell Arrays for Simultaneous Detection of Diverse Analytes
Yan Zhang, Taisuke Kojima, … Mark P. Styczynski·Nature CommunicationsPeer-reviewed·Sep 29, 2021
- Pixelated microfluidics for drug screening on tumour spheroids and ex vivo microdissected primary tissue
D. DORRIGIV, P. A. Goyette, … A. M. Mes Masson·bioRxiv·Oct 7, 2022
- Multiplexed and reproducible high content screening of live and fixed cells using the Dye Drop method
Caitlin E. Mills, Kartik Subramanian, … Peter Karl Sorger·Nature CommunicationsPeer-reviewed·Nov 14, 2022
- Label-Free, Real-Time Monitoring of Cytochrome C Responses to Drugs in Microdissected Tumor Biopsies with a Multi-Well Aptasensor Platform
T. N. H. Nguyen, L. Horowitz, … A. Folch·Science AdvancesPeer-reviewed·Sep 6, 2024
- CITE-Viz: Replicating the Interactive Flow Cytometry Workflow in CITE-Seq
Garth Kong, Thai T. Nguyen, … Julia E. Maxson·bioRxiv·May 15, 2022