Back

Single-cell sequencing of tumor-associated macrophages in a Drosophila model.

Khalili, D.; Mohammed, M.; Kunc, M.; Ankarklev, J.; Theopold, U.

2023-06-18 cancer biology
10.1101/2023.06.17.545411 bioRxiv
Show abstract

IntroductionTumor-associated macrophages may act to either limit or promote tumor growth, yet the molecular basis for either path is poorly characterized. MethodsWe use a larval Drosophila model that expresses a dominant-active version of the Rasoncogene (RasV12) to study dysplastic growth during early tumor progression. We performed single-cell RNA-sequencing of macrophage-like hemocytes to characterize these cells in tumor-compared to wild type larvae. Hemocytes included manually extracted tumor-associated-as well as circulating cells. Results and discussionWe identified 5 distinct hemocyte clusters. In addition to RasV12 larvae we included a tumor model where the activation of effector caspases was inhibited, mimicking an apoptosis-resistant setting. Circulating hemocytes from both tumor models differ qualitatively from control wild-type cells - they display an enrichment for genes involved in cell division, which was confirmed using proliferation assays. Split analysis of the tumor models further reveals that proliferation is strongest in the caspase-deficient setting. Similarly, depending on the tumor model, hemocytes that attach to tumors activate different sets of immune effectors - antimicrobial peptides dominate the response against the tumor alone, while caspase inhibition induces a shift toward members of proteolytic cascades. Finally, we provide evidence for transcript transfer between hemocytes and possibly other tissues. Taken together, our data support the usefulness of Drosophila to study the response against tumors at the organismic level.

Matching journals

The top 3 journals account for 50% of the predicted probability mass.

1
Disease Models & Mechanisms
119 papers in training set
Top 0.1%
28.5%
2
Scientific Reports
3102 papers in training set
Top 0.6%
19.2%
3
PLOS ONE
4510 papers in training set
Top 21%
8.7%
50% of probability mass above
4
PLOS Genetics
756 papers in training set
Top 4%
3.7%
5
iScience
1063 papers in training set
Top 7%
2.8%
6
Frontiers in Ecology and Evolution
60 papers in training set
Top 1%
2.7%
7
Cancers
200 papers in training set
Top 2%
2.4%
8
Frontiers in Cell and Developmental Biology
218 papers in training set
Top 3%
2.1%
9
Molecular Ecology
304 papers in training set
Top 3%
1.4%
10
G3 Genes|Genomes|Genetics
351 papers in training set
Top 2%
1.4%
11
Biology Open
130 papers in training set
Top 1%
1.4%
12
Cells
232 papers in training set
Top 4%
1.3%
13
The Journals of Gerontology: Series A
25 papers in training set
Top 0.7%
1.1%
14
International Journal of Molecular Sciences
453 papers in training set
Top 12%
0.9%
15
PLOS Computational Biology
1633 papers in training set
Top 22%
0.9%
16
Genetics
225 papers in training set
Top 4%
0.8%
17
Pigment Cell & Melanoma Research
11 papers in training set
Top 0.1%
0.8%
18
F1000Research
79 papers in training set
Top 4%
0.8%
19
Nature Communications
4913 papers in training set
Top 63%
0.7%
20
PLOS Biology
408 papers in training set
Top 20%
0.7%
21
Cell Death Discovery
51 papers in training set
Top 1%
0.7%
22
BMC Biology
248 papers in training set
Top 4%
0.7%
23
Frontiers in Genetics
197 papers in training set
Top 10%
0.7%
24
The EMBO Journal
267 papers in training set
Top 6%
0.7%
25
Open Biology
95 papers in training set
Top 3%
0.7%
26
Cell Reports
1338 papers in training set
Top 35%
0.7%
27
PLOS Pathogens
721 papers in training set
Top 10%
0.7%
28
Development
440 papers in training set
Top 4%
0.5%
29
Cell Stress and Chaperones
10 papers in training set
Top 0.1%
0.5%
30
Frontiers in Physiology
93 papers in training set
Top 7%
0.5%