Back

Early postnatal Flt3+ hematopoietic progenitors realize fate-restricted and long-lived output in vivo

Cirovic, B.; Nizharadze, T.; Dietlein, N.; Henrich-Kellner, C.; Hoefer, T.; Rodewald, H.-R.

2026-04-13 developmental biology
10.64898/2026.04.09.716798 bioRxiv
Show abstract

Hematopoietic progenitors downstream of hematopoietic stem cells (HSC) are now recognized as the main drivers of day-to-day hematopoiesis. While embryonic and adult HSC fates have been studied in detail, less information exists on stages downstream from HSC, notably in the multipotent progenitor compartment. The early postnatal period represents an important growth phase of the animal and its immune system. Developing immune lineages must be generated in large numbers rapidly, and populate expanding organ niches. To shed light on this critical period, we focused our experiments on early postnatal Flt3+ hematopoietic progenitors, and combined genetic single progenitor barcoding using Polylox with Flt3-driven, inducible fate mapping. Key immune cell types, including T and B lymphocytes (lymphocytes), innate lymphocytes (ILC) 1-3, NK cells, and granulocytes and monocytes (myeloid) emerged from Flt3+ hematopoietic progenitors. Barcode analysis revealed that about 75% of Flt3+ hematopoietic progenitors had unipotent fates for lymphocytes, or ILC or myeloid cells, while the remaining fraction showed unprecedented fate combinations for these lineages. Focusing on ILC only, we uncovered clonal fate restriction towards ILC1, or ILC2, or ILC3 in tissues. These data indicate early tissue seeding by progenitors, and further differentiation towards discrete subsets in situ. In addition to these fate analyses, induction of fluorescent marker at this intermediate stage of hematopoiesis showed that Flt3+ progenitors generated a wave of progeny lasting for over one year. The washout of these cells over time provided kinetic data of cell turnover in major immune cell compartments (in the circulation and in tissues) in vivo. In conclusion, we tracked the fate of large numbers (in the order of hundreds) of Flt3+ progenitor clones in situ. These intermediate progenitors downstream of HSC displayed mostly lineage-restricted fates as well as strong fate complexity, thus serving as a source for early tissue seeding and durable immune lineage.

Matching journals

The top 7 journals account for 50% of the predicted probability mass.

1
Blood Advances
54 papers in training set
Top 0.1%
13.9%
2
Cell Reports
1338 papers in training set
Top 2%
12.0%
3
eLife
5422 papers in training set
Top 11%
7.0%
4
Cytometry Part A
30 papers in training set
Top 0.1%
6.6%
5
Nature Communications
4913 papers in training set
Top 31%
6.1%
6
Stem Cell Reports
118 papers in training set
Top 0.2%
4.2%
7
EMBO reports
136 papers in training set
Top 1%
3.5%
50% of probability mass above
8
Clinical & Translational Immunology
22 papers in training set
Top 0.1%
3.5%
9
iScience
1063 papers in training set
Top 6%
3.5%
10
Frontiers in Cell and Developmental Biology
218 papers in training set
Top 2%
3.0%
11
Stem Cells
28 papers in training set
Top 0.1%
2.8%
12
Developmental Cell
168 papers in training set
Top 6%
2.6%
13
Scientific Reports
3102 papers in training set
Top 45%
2.6%
14
Development
440 papers in training set
Top 2%
1.7%
15
Blood
67 papers in training set
Top 0.7%
1.7%
16
Cell Reports Methods
141 papers in training set
Top 3%
1.6%
17
PLOS Biology
408 papers in training set
Top 11%
1.6%
18
Science Advances
1098 papers in training set
Top 22%
1.3%
19
Journal of Experimental Medicine
106 papers in training set
Top 3%
1.2%
20
Cell Stem Cell
57 papers in training set
Top 2%
1.1%
21
The Journal of Immunology
146 papers in training set
Top 1%
0.9%
22
Life Science Alliance
263 papers in training set
Top 1%
0.9%
23
Cells
232 papers in training set
Top 6%
0.8%
24
Experimental Hematology
11 papers in training set
Top 0.2%
0.8%
25
Developmental Biology
134 papers in training set
Top 3%
0.7%
26
International Journal of Molecular Sciences
453 papers in training set
Top 17%
0.7%
27
Frontiers in Genetics
197 papers in training set
Top 11%
0.7%
28
PLOS ONE
4510 papers in training set
Top 72%
0.6%
29
PLOS Genetics
756 papers in training set
Top 17%
0.6%