Back

Modeling human B cell development with pluripotent stem cells

Sun, X.; Kwan, J. J.; Kothari, K.; Nazzari, A. F.; Kosters, A.; Fields, C. A.; Thai, B. Q.; Bhattacharya, D.; Atkins, M.; Chan Tung, K.; Zhao, X.; Manchev, V. T.; Kennedy, M.; Ghosn, E.; Keller, G.

2026-05-07 developmental biology
10.64898/2026.05.04.722674 bioRxiv
Show abstract

The ability to generate functional B cells from human pluripotent stem cells (hPSCs) would open new opportunities to develop novel B cell-based therapies to treat a range of human diseases and disorders. Towards this goal, we established a protocol that promotes the efficient development of B lineage cells from definitive hematopoietic progenitors generated from different hPSC lines. Flow cytometric and multi-omic scRNA-seq analyses revealed that B cell development from hPSCs transitions through the well-established pro-B, pre-B and naive B cell stages, accurately recapitulating B lymphopoiesis in the human adult bone marrow. Importantly, the naive B cells generated with this approach could be induced to mature into plasma cells that secrete antibodies and undergo class switching. Analyses of signaling pathways that regulate B lymphopoiesis in these cultures uncovered a potent inhibitory effect of IL-7 on functional IgH rearrangement, resulting in the development of abnormal cells that failed to undergo pre-B cell maturation. Finally, analysis of the different hPSC-derived hematopoietic programs revealed that both definitive and yolk sac progenitors display B cell potential, indicating that there are distinct developmental sources of human B lineage cells. Taken together, these findings demonstrate the efficient generation of B cells from hPSCs and, in doing so, provide a system for further investigating the earliest stages of human B lymphopoiesis and a source of appropriately staged plasma cells for future therapeutic applications.

Matching journals

The top 9 journals account for 50% of the predicted probability mass.

1
Nature Communications
4913 papers in training set
Top 14%
12.3%
2
Blood Advances
54 papers in training set
Top 0.2%
6.8%
3
eLife
5422 papers in training set
Top 13%
6.4%
4
Frontiers in Cell and Developmental Biology
218 papers in training set
Top 0.9%
4.9%
5
Cell Stem Cell
57 papers in training set
Top 0.3%
4.9%
6
Developmental Cell
168 papers in training set
Top 4%
4.3%
7
Cell Reports
1338 papers in training set
Top 11%
4.3%
8
Cell Reports Methods
141 papers in training set
Top 0.9%
3.6%
9
Cell
370 papers in training set
Top 6%
3.6%
50% of probability mass above
10
iScience
1063 papers in training set
Top 5%
3.6%
11
Cell Research
49 papers in training set
Top 0.5%
3.6%
12
Cell Discovery
54 papers in training set
Top 1%
3.6%
13
Blood
67 papers in training set
Top 0.6%
2.4%
14
Cytometry Part A
30 papers in training set
Top 0.1%
2.1%
15
Stem Cell Reports
118 papers in training set
Top 0.4%
1.9%
16
Science Advances
1098 papers in training set
Top 17%
1.7%
17
Scientific Reports
3102 papers in training set
Top 58%
1.7%
18
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 32%
1.7%
19
EMBO Molecular Medicine
85 papers in training set
Top 2%
1.7%
20
Communications Biology
886 papers in training set
Top 9%
1.7%
21
Journal of Experimental Medicine
106 papers in training set
Top 3%
1.3%
22
Journal of Genetics and Genomics
36 papers in training set
Top 1%
1.3%
23
Advanced Science
249 papers in training set
Top 14%
1.2%
24
Development
440 papers in training set
Top 2%
1.2%
25
Cell Reports Medicine
140 papers in training set
Top 6%
0.9%
26
Science
429 papers in training set
Top 18%
0.9%
27
JCI Insight
241 papers in training set
Top 6%
0.9%
28
Genomics, Proteomics & Bioinformatics
171 papers in training set
Top 5%
0.8%
29
Nature Cell Biology
99 papers in training set
Top 4%
0.8%
30
Clinical & Translational Immunology
22 papers in training set
Top 0.3%
0.7%