Back

Neutrophil transcriptome diverges into two discrete trajectories in a murine model of severe Streptococcus pneumoniae pneumonia

Pihl, R. M. F.; Alabdullatif, S. H.; Hiller, B. E.; Armstrong, E. M. R.; Martins, K. R.; Dimbo, E. L.; Lee, Y.; Campbell, J. D.; Gower, A. C.; Mizgerd, J. P.; Quinton, L. J.; Traber, K. E.

2024-11-02 immunology
10.1101/2024.10.29.620672 bioRxiv
Show abstract

Neutrophils were once considered a homogenous population of transcriptionally static, pathogen-killing cells, however, recent models have demonstrated neutrophil functional and transcriptional plasticity. We performed transcriptomic analyses in a murine model of pneumococcal pneumonia to investigate neutrophil plasticity and demonstrate that neutrophils are highly dynamic, leading to three distinct alveolar neutrophil populations - one immature (early bronchoalveolar lavage neutrophils [BALN]) and two mature (late BALN). Early BALNs produce high levels of inflammatory cytokine transcripts, maturing into late BALNs, including a pro-degranulation and phagocytosis population (late-degranulating BALN) or a population specializing in translation machinery and inflammatory cytokine production (late-cytokine producing BALN). Neutrophil metabolism is also regulated in a stepwise manner - tricarboxylic acid (TCA) cycle and respiratory electron transport chain (ETC) genes are downregulated as neutrophils migrate from the vasculature to the interstitium, lipid and carbohydrate metabolism genes are downregulated during migration from interstitium to the airspace. These transitions may be regulated by aspects of the integrated stress response (ISR), as key regulators including Eif2ak2 are upregulated in interstitial neutrophils. Overall, we demonstrate that pneumonic neutrophils are transcriptionally plastic, developing through two distinct transcriptional phenotypes in the airspace, and are metabolically and transcriptionally rewired with potential points of regulation occurring in the interstitial space.

Matching journals

The top 5 journals account for 50% of the predicted probability mass.

1
Journal of Leukocyte Biology
40 papers in training set
Top 0.1%
33.5%
2
Frontiers in Immunology
586 papers in training set
Top 0.9%
6.9%
3
Scientific Reports
3102 papers in training set
Top 30%
4.0%
4
Immunology & Cell Biology
11 papers in training set
Top 0.1%
3.6%
5
PLOS ONE
4510 papers in training set
Top 38%
3.6%
50% of probability mass above
6
Frontiers in Physiology
93 papers in training set
Top 1%
3.1%
7
International Journal of Molecular Sciences
453 papers in training set
Top 3%
3.1%
8
American Journal of Physiology-Lung Cellular and Molecular Physiology
39 papers in training set
Top 0.1%
2.9%
9
eLife
5422 papers in training set
Top 32%
2.6%
10
iScience
1063 papers in training set
Top 10%
2.1%
11
PLOS Pathogens
721 papers in training set
Top 5%
2.1%
12
Cells
232 papers in training set
Top 1%
2.1%
13
American Journal of Respiratory Cell and Molecular Biology
38 papers in training set
Top 0.4%
1.9%
14
mBio
750 papers in training set
Top 7%
1.7%
15
Immunology
29 papers in training set
Top 0.5%
1.5%
16
The Journal of Infectious Diseases
182 papers in training set
Top 3%
1.4%
17
ERJ Open Research
44 papers in training set
Top 0.6%
1.2%
18
Life Science Alliance
263 papers in training set
Top 1.0%
0.9%
19
The Journal of Immunology
146 papers in training set
Top 1%
0.9%
20
Disease Models & Mechanisms
119 papers in training set
Top 2%
0.8%
21
European Respiratory Journal
54 papers in training set
Top 2%
0.8%
22
Nature Immunology
71 papers in training set
Top 2%
0.7%
23
Arteriosclerosis, Thrombosis, and Vascular Biology
65 papers in training set
Top 2%
0.7%
24
Clinical Immunology
21 papers in training set
Top 0.7%
0.7%
25
Redox Biology
64 papers in training set
Top 1%
0.7%
26
American Journal of Physiology-Regulatory, Integrative and Comparative Physiology
13 papers in training set
Top 0.4%
0.7%
27
Clinical Infectious Diseases
231 papers in training set
Top 5%
0.7%
28
JCI Insight
241 papers in training set
Top 9%
0.5%
29
Cell Reports
1338 papers in training set
Top 36%
0.5%
30
BMC Genomics
328 papers in training set
Top 8%
0.5%