Back

ECM-Focused Proteomic Analysis of Ear Punch Regeneration in Acomys cahirinus

McCabe, M. C.; Okamura, D. M.; Erickson, C. B.; Perry, B. W.; Brewer, C. M.; Nguyen, E. D.; Saviola, A. J.; Majesky, M. W.; Hansen, K. C.

2023-10-11 molecular biology
10.1101/2023.10.11.561940 bioRxiv
Show abstract

In mammals, significant injury is generally followed by the formation of a fibrotic scar which provides structural integrity but fails to functionally restore damaged tissue. Spiny mice of the genus Acomys represent the first example of full skin autotomy in mammals. Acomys cahirinus has evolved extremely weak skin as a strategy to avoid predation and is able to repeatedly regenerate healthy tissue without scar after severe skin injury or full-thickness ear punches. Extracellular matrix (ECM) composition is a critical regulator of wound repair and scar formation and previous studies have suggested that alterations in its expression may be responsible for the differences in regenerative capacity observed between Mus musculus and A. cahirinus, yet analysis of this critical tissue component has been limited in previous studies by its insolubility and resistance to extraction. Here, we utilize a 2-step ECM-optimized extraction to perform proteomic analysis of tissue composition during wound repair after full-thickness ear punches in A. cahirinus and M. musculus from weeks 1 to 4 post-injury. We observe changes in a wide range of ECM proteins which have been previously implicated in wound regeneration and scar formation, including collagens, coagulation and provisional matrix proteins, and matricryptic signaling peptides. We additionally report differences in crosslinking enzyme activity and ECM protein solubility between Mus and Acomys. Furthermore, we observed rapid and sustained increases in CD206, a marker of pro-regenerative M2 macrophages, in Acomys, whereas little or no increase in CD206 was detected in Mus. Together, these findings contribute to a comprehensive understanding of tissue cues which drive the regenerative capacity of Acomys and identify a number of potential targets for future pro-regenerative therapies.

Matching journals

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

1
Matrix Biology
29 papers in training set
Top 0.1%
22.4%
2
Scientific Reports
3612 papers in training set
Top 0.6%
18.9%
3
Nature Communications
5641 papers in training set
Top 30%
4.4%
4
The FASEB Journal
194 papers in training set
Top 0.7%
4.1%
5
iScience
1154 papers in training set
Top 4%
4.1%
50% of probability mass above
6
PLOS ONE
5266 papers in training set
Top 35%
3.5%
7
Communications Biology
993 papers in training set
Top 5%
3.2%
8
eLife
5828 papers in training set
Top 43%
2.2%
9
International Journal of Molecular Sciences
494 papers in training set
Top 6%
2.2%
10
Disease Models & Mechanisms
119 papers in training set
Top 1.0%
2.0%
11
Matrix Biology Plus
10 papers in training set
Top 0.1%
1.4%
12
Biomolecules
100 papers in training set
Top 1%
1.4%
13
Cell Reports
1498 papers in training set
Top 22%
1.2%
14
Frontiers in Veterinary Science
32 papers in training set
Top 0.4%
1.2%
15
Journal of Proteome Research
234 papers in training set
Top 1%
1.1%
16
Frontiers in Immunology
638 papers in training set
Top 8%
1.1%
17
Molecular Medicine
11 papers in training set
Top 0.2%
1.0%
18
Cells
249 papers in training set
Top 6%
0.9%
19
Cell Death Discovery
58 papers in training set
Top 1%
0.9%
20
Frontiers in Cell and Developmental Biology
233 papers in training set
Top 5%
0.9%
21
Acta Biomaterialia
92 papers in training set
Top 1.0%
0.9%
22
Journal of Translational Medicine
57 papers in training set
Top 2%
0.9%
23
npj Regenerative Medicine
24 papers in training set
Top 0.7%
0.6%
24
Biology Open
156 papers in training set
Top 4%
0.6%
25
Aging Cell
165 papers in training set
Top 3%
0.6%