Assessing the Influence of Selected Permeabilization Methods on Lymphocyte Single-Cell Multi-Omics

(1) Background: Single-cell multi-omics is a powerful method for the dissection and detection of complicated immunologic functions and synapses. However, most currently available technologies merge datasets of different omics from separate portions of the same sample to generate combined multi-omics...

Full description

Saved in:
Bibliographic Details
Main Authors: Shifan Ding, Na Lu, Hassan Abolhassani
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Antibodies
Subjects:
Online Access:https://www.mdpi.com/2073-4468/14/1/15
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1850204418367029248
author Shifan Ding
Na Lu
Hassan Abolhassani
author_facet Shifan Ding
Na Lu
Hassan Abolhassani
author_sort Shifan Ding
collection DOAJ
description (1) Background: Single-cell multi-omics is a powerful method for the dissection and detection of complicated immunologic functions and synapses. However, most currently available technologies merge datasets of different omics from separate portions of the same sample to generate combined multi-omics. This process is a source of bias, mainly in the field of immunology on cells originating from pluripotent hematopoietic stem cells with high flexibility during maturation. (2) Methods: Although new multi-omics approaches have been developed to use the advantages of cellular and molecular barcoding and next-generation sequencing to solve this issue, one of the main current challenges is intracellular proteomics, which should be combined with other omics data with high importance for immune system studies. We designed this study to evaluate previously recommended minimal permeabilization and fixation methods on the quality and quantity of transcriptomics and proteomics data generated by the BD Rhapsody™ Single-Cell Analysis System. (3) Results: Our findings showed that high-throughput sequencing with advanced quality and read-out is required for the combination of multi-omics outcomes from a permeabilized single cell. Therefore, the HiseqX platform was selected for further analysis. The effect of immune stimulation was observed clearly as the separated clusters of helper and cytotoxic T cells using unsupervised clustering. Importantly, fixation and permeabilization did not affect the general expression profile of unstimulated cells. However, fixation and permeabilization were proved to negatively impact the detection of the whole transcriptome for single-cell assay. Nevertheless, about 60% of the transcriptomic signature of the stimulation was detected. If the measurement of combined surface and intracellular markers is required to be achieved, the modified fixation and permeabilization method is recommended because of a lower transcriptomic loss and more precise proteomic fingerprint detected. (4) Conclusions: The findings of this study support the potential possibility for integrating intracellular proteomics, which needs to be optimized and tested with newly designed oligonucleotide-tagged antibodies targeting intracellular proteins.
format Article
id doaj-art-6b1aa59ee22f41368ecdd5f731ecede3
institution OA Journals
issn 2073-4468
language English
publishDate 2025-02-01
publisher MDPI AG
record_format Article
series Antibodies
spelling doaj-art-6b1aa59ee22f41368ecdd5f731ecede32025-08-20T02:11:17ZengMDPI AGAntibodies2073-44682025-02-011411510.3390/antib14010015Assessing the Influence of Selected Permeabilization Methods on Lymphocyte Single-Cell Multi-OmicsShifan Ding0Na Lu1Hassan Abolhassani2Division of Immunology, Department of Medical Biochemistry and Biophysics, Karolinska Institute, 17177 Stockholm, SwedenDivision of Immunology, Department of Medical Biochemistry and Biophysics, Karolinska Institute, 17177 Stockholm, SwedenDivision of Immunology, Department of Medical Biochemistry and Biophysics, Karolinska Institute, 17177 Stockholm, Sweden(1) Background: Single-cell multi-omics is a powerful method for the dissection and detection of complicated immunologic functions and synapses. However, most currently available technologies merge datasets of different omics from separate portions of the same sample to generate combined multi-omics. This process is a source of bias, mainly in the field of immunology on cells originating from pluripotent hematopoietic stem cells with high flexibility during maturation. (2) Methods: Although new multi-omics approaches have been developed to use the advantages of cellular and molecular barcoding and next-generation sequencing to solve this issue, one of the main current challenges is intracellular proteomics, which should be combined with other omics data with high importance for immune system studies. We designed this study to evaluate previously recommended minimal permeabilization and fixation methods on the quality and quantity of transcriptomics and proteomics data generated by the BD Rhapsody™ Single-Cell Analysis System. (3) Results: Our findings showed that high-throughput sequencing with advanced quality and read-out is required for the combination of multi-omics outcomes from a permeabilized single cell. Therefore, the HiseqX platform was selected for further analysis. The effect of immune stimulation was observed clearly as the separated clusters of helper and cytotoxic T cells using unsupervised clustering. Importantly, fixation and permeabilization did not affect the general expression profile of unstimulated cells. However, fixation and permeabilization were proved to negatively impact the detection of the whole transcriptome for single-cell assay. Nevertheless, about 60% of the transcriptomic signature of the stimulation was detected. If the measurement of combined surface and intracellular markers is required to be achieved, the modified fixation and permeabilization method is recommended because of a lower transcriptomic loss and more precise proteomic fingerprint detected. (4) Conclusions: The findings of this study support the potential possibility for integrating intracellular proteomics, which needs to be optimized and tested with newly designed oligonucleotide-tagged antibodies targeting intracellular proteins.https://www.mdpi.com/2073-4468/14/1/15lymphocytessingle-cell sequencingmulti-omicstranscriptomeproteome
spellingShingle Shifan Ding
Na Lu
Hassan Abolhassani
Assessing the Influence of Selected Permeabilization Methods on Lymphocyte Single-Cell Multi-Omics
Antibodies
lymphocytes
single-cell sequencing
multi-omics
transcriptome
proteome
title Assessing the Influence of Selected Permeabilization Methods on Lymphocyte Single-Cell Multi-Omics
title_full Assessing the Influence of Selected Permeabilization Methods on Lymphocyte Single-Cell Multi-Omics
title_fullStr Assessing the Influence of Selected Permeabilization Methods on Lymphocyte Single-Cell Multi-Omics
title_full_unstemmed Assessing the Influence of Selected Permeabilization Methods on Lymphocyte Single-Cell Multi-Omics
title_short Assessing the Influence of Selected Permeabilization Methods on Lymphocyte Single-Cell Multi-Omics
title_sort assessing the influence of selected permeabilization methods on lymphocyte single cell multi omics
topic lymphocytes
single-cell sequencing
multi-omics
transcriptome
proteome
url https://www.mdpi.com/2073-4468/14/1/15
work_keys_str_mv AT shifanding assessingtheinfluenceofselectedpermeabilizationmethodsonlymphocytesinglecellmultiomics
AT nalu assessingtheinfluenceofselectedpermeabilizationmethodsonlymphocytesinglecellmultiomics
AT hassanabolhassani assessingtheinfluenceofselectedpermeabilizationmethodsonlymphocytesinglecellmultiomics