Abstract
Background and Aim: Single-cell RNA sequencing (scRNA-seq) is a powerful method utilising transcriptomic data for detailed characterisation of heterogeneous cell populations. The use of oligonucleotide-labelled antibodies for targeted proteomics addresses the shortcomings of the scRNA-seq-only based approach by improving detection of low expressing targets. However, optimisation of large antibody panels is challenging and depends on the availability of co-functioning oligonucleotide-labelled antibodies. Main Methods and Results: We present here a simple adjustable oligonucleotide-antibody conjugation method which enables a desired level of oligo-conjugation per antibody. The mean labelling in the produced antibody batches varied from 1 to 6 oligos per antibody. In the scRNA-seq multimodal experiment, the highest sensitivity was seen with moderate antibody labelling as the high activation and/or labelling was detrimental to antibody performance. The conjugates were also tested for compatibility with the fixation and freeze storage protocols. The oligo-antibody signal was stable in fixed cells indicating the feasibility of a stain, fix, store, and analyse later type of workflow for multimodal scRNA-seq. Conclusions and Implications: Optimised oligo-labelling will improve detection of weak protein targets in scRNA-seq multimodal experiments and reduce sequencing costs due to a more balanced amplification of different antibody signals in CITE-seq libraries. Furthermore, the use of a pre-stain, fix, run later protocol will allow for flexibility, facilitate sample pooling, and ease logistics in scRNA-seq multimodal experiments.
| Original language | English |
|---|---|
| Article number | 2100213 |
| Journal | Biotechnology Journal |
| Volume | 17 |
| Issue number | 6 |
| DOIs | |
| Publication status | Published - Jun 2022 |
| MoE publication type | A1 Journal article-refereed |
Funding
The authors want to acknowledge Dr Tapio Lönnberg for critical commenting on the manuscript and Dr Jenni Lahtela and Bishwa Ghimire for their technical and computational assistance. Single cell sequencing was performed at FIMM Single-Cell Analytics and Sequencing units supported by HiLIFE and Biocenter Finland. This work was supported by the Finnish Foundation for Pediatric Research (E.K.), University of Helsinki's research grants (E.K.), and Laboratoriolääketieteen tukisäätiö (J.K.). The funders did not have any role in designing of the study nor in the collection, analysis, and interpretation of data and in writing the manuscript. The illustration in graphical abstract was created with BioRender.com. The authors want to acknowledge Dr Tapio Lönnberg for critical commenting on the manuscript and Dr Jenni Lahtela and Bishwa Ghimire for their technical and computational assistance. Single cell sequencing was performed at FIMM Single‐Cell Analytics and Sequencing units supported by HiLIFE and Biocenter Finland. This work was supported by the Finnish Foundation for Pediatric Research (E.K.), University of Helsinki's research grants (E.K.), and Laboratoriolääketieteen tukisäätiö (J.K.). The funders did not have any role in designing of the study nor in the collection, analysis, and interpretation of data and in writing the manuscript. The illustration in graphical abstract was created with BioRender.com.
Keywords
- antibody conjugation
- CITE-seq
- single-cell RNA-seq
- Single-Cell Analysis/methods
- Oligonucleotides/genetics
- Antibodies/genetics
- Proteomics
- Transcriptome
- Gene Expression Profiling
- Sequence Analysis, RNA/methods