journal article·2025-06Open access

A Versatile High‐Throughput Single‐Cell Screening Platform for Profiling Antigen‐Specific Long‐Lived B Cells in Blood and Bone Marrow

Tian Zhao, Yuqing Lei, Chang Liu, Dong Zhang, Kaiyi Li, Sisi Shan, Chenyu Li, Zimeng Wei, Yuhan Yang, Ting Zhang, Kai Sun, Haoran Sun, Linqi Zhang, Peng Liu

Advanced Science· Volume 12· Issue 21

Abstract

Abstract Antigen‐specific B cells play a crucial role in the long‐term immune response following infection or vaccination, differentiating into antibody‐secreting cells (ASCs) and memory B cells (MBCs). However, profiling ASCs is challenging primarily due to their lack of membrane‐bound surface B cell receptors. In this study, the Modular Superhydrophobic Microwell Array Chip (MoSMAR‐chip) is introduced as a versatile, cost‐effective, and high‐throughput platform for identifying and characterizing individual antigen‐specific ASCs and MBCs at the single‐cell level within seven days. Using this platform, comprehensive analyses of single ASCs could be performed from bone marrows of coronavirus disease 2019 (COVID‐19) vaccine‐immunized mice and a diverse set of antibodies capable of neutralizing the highly divergent JN1 variant of severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) were identified. These results demonstrate that the MoSMAR‐chip facilitates efficient single‐cell multi‐omics and functional analyses of antigen‐specific ASCs, offering a powerful tool for investigating complex long‐term B cell immunity in diverse clinical conditions, such as infectious diseases, autoimmunity, and beyond.
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Research context

OpenAlex topics: Microfluidic and Bio-sensing Technologies · T-cell and B-cell Immunology · Single-cell and spatial transcriptomics

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

School of Biomedical Engineering Tsinghua University Beijing 100084 China

Comprehensive AIDS Research Center Center for Global Health and Infectious Diseases Research NexVac Research Center Center for Infectious Diseases Research School of Basic Medical Sciences Tsinghua Medicine Tsinghua University Beijing 100084 China

Tsinghua‐Peking Joint Center for Life Sciences Beijing 100084 China

Institute of Biopharmaceutical and Health Engineering Tsinghua Shenzhen International Graduate School Tsinghua University Shenzhen 518055 China

Institute of Biomedical Health Technology and Engineering Shenzhen Bay Laboratory Shenzhen 518132 China

Changping Laboratory Beijing 102206 China

Funding

National Natural Science Foundation of China

References (57)

Show source-provided references
1. 10.4049/jimmunol.100115510.4049/jimmunol.1001155 ↗
2. 10.1126/science.124114610.1126/science.1241146 ↗
3. 10.1073/pnas.23041749710.1073/pnas.230417497 ↗
4. 10.1038/s41467-022-31142-510.1038/s41467-022-31142-5 ↗
5. 10.1038/s41421-021-00331-910.1038/s41421-021-00331-9 ↗
6. 10.1016/j.isci.2023.10605510.1016/j.isci.2023.106055 ↗
7. 10.1038/s41467-023-37926-710.1038/s41467-023-37926-7 ↗
8. 10.1038/s41392-021-00610-710.1038/s41392-021-00610-7 ↗
9. 10.1073/pnas.220460711910.1073/pnas.2204607119 ↗
10. 10.1080/19420862.2019.162412610.1080/19420862.2019.1624126 ↗
11. 10.1038/nbt121010.1038/nbt1210 ↗
12. 10.1038/nm.196610.1038/nm.1966 ↗
13. 10.1038/s41587-020-0466-710.1038/s41587-020-0466-7 ↗
14. 10.1186/gb-2013-14-4-r3110.1186/gb-2013-14-4-r31 ↗
15. 10.1186/s13059-018-1407-310.1186/s13059-018-1407-3 ↗
16. 10.1038/s41587-020-0497-010.1038/s41587-020-0497-0 ↗
17. 10.1038/s41587-022-01311-410.1038/s41587-022-01311-4 ↗
18. 10.1002/advs.20240018510.1002/advs.202400185 ↗
19. 10.1155/2020/203205710.1155/2020/2032057 ↗
20. 10.1073/pnas.231722212110.1073/pnas.2317222121 ↗
21. 10.1016/S1074-7613(00)80541-510.1016/S1074-7613(00)80541-5 ↗
22. 10.1038/ncomms1182610.1038/ncomms11826 ↗
23. 10.3389/fimmu.2021.69707410.3389/fimmu.2021.697074 ↗
24. 10.4049/jimmunol.200058310.4049/jimmunol.2000583 ↗
25. 10.1038/s41467-022-35642-210.1038/s41467-022-35642-2 ↗
26. 10.1016/j.isci.2022.10404310.1016/j.isci.2022.104043 ↗
27. 10.1016/j.it.2024.01.00310.1016/j.it.2024.01.003 ↗
28. 10.1093/bioinformatics/btaa73910.1093/bioinformatics/btaa739 ↗
29. 10.1016/j.str.2022.06.00410.1016/j.str.2022.06.004 ↗
30. 10.1038/s41586-024-07487-w10.1038/s41586-024-07487-w ↗
31. 10.1038/s41592-023-01769-310.1038/s41592-023-01769-3 ↗
32. 10.1016/j.crmeth.2023.10052210.1016/j.crmeth.2023.100522 ↗
33. 10.1016/j.immuni.2023.04.01510.1016/j.immuni.2023.04.015 ↗
34. 10.1371/journal.pone.008509010.1371/journal.pone.0085090 ↗
35. 10.3389/fcell.2021.64943310.3389/fcell.2021.649433 ↗
36. 10.7554/eLife.2655610.7554/eLife.26556 ↗
37. 10.1038/s41590-022-01345-510.1038/s41590-022-01345-5 ↗
38. 10.3390/v1602018710.3390/v16020187 ↗
39. 10.1016/j.celrep.2021.10873310.1016/j.celrep.2021.108733 ↗
40. 10.1016/j.jmb.2020.09.01410.1016/j.jmb.2020.09.014 ↗
41. 10.1002/eji.20174702310.1002/eji.201747023 ↗
42. 10.1038/s41587‐024‐02346‐510.1038/s41587‐024‐02346‐5 ↗
43. 10.1126/scitranslmed.add596010.1126/scitranslmed.add5960 ↗
44. 10.1016/j.jim.2020.11290110.1016/j.jim.2020.112901 ↗
45. 10.1038/s41591-020-0998-x10.1038/s41591-020-0998-x ↗
46. 10.1093/nar/gkab120110.1093/nar/gkab1201 ↗
47. 10.1186/s40364-023-00456-x10.1186/s40364-023-00456-x ↗
48. 10.1126/science.aaa094610.1126/science.aaa0946 ↗
49. Lyu F. · Nat. Biotechnol. · 2019 · 49 · 169
50. 10.1038/nprot.2014.00610.1038/nprot.2014.006 ↗
51. 10.1371/journal.pone.003685210.1371/journal.pone.0036852 ↗
52. Kaminow B. · bioRxiv · 2021 · 2021
53. 10.1038/s41592-021-01142-210.1038/s41592-021-01142-2 ↗
54. 10.1016/j.immuni.2021.06.00310.1016/j.immuni.2021.06.003 ↗
55. 10.1016/j.cell.2019.05.03110.1016/j.cell.2019.05.031 ↗
56. 10.1038/s41592-019-0619-010.1038/s41592-019-0619-0 ↗
57. 10.1093/nar/gkab63810.1093/nar/gkab638 ↗