Back

Defining the activation profile and fate trajectory of adult Scleraxis-lineage cells during tendon healing by combining lineage tracing and spatial transcriptomics

Ackerman, J. E.; Best, K. T.; Muscat, S. N.; Wu, C.-L.; Loiselle, A. E.

2021-06-02 bioinformatics
10.1101/2021.06.02.446663 bioRxiv
Show abstract

The tendon healing process is regulated by the coordinated interaction of multiple cell types and molecular processes. However, these processes are not well-defined leading to a paucity of therapeutic approaches to enhance tendon healing. Scleraxis-lineage (ScxLin) cells are the major cellular component of adult tendon and make time-dependent contributions to the healing process. Prior work from our lab and others suggests heterogeneity within the broader ScxLin population over the course of tendon healing; therefore delineating the temporal and spatial contributions of these cells is critical to understanding and improving the healing process. In the present study we utilize lineage tracing of the adult aScxLin population to determine whether these cells undergo cellular activation and subsequent myofibroblast differentiation, which is associated with both proper healing and fibrotic progression in many tissues. We show that adult aScxLin cells undergo transient activation in the organized cellular bridge at the tendon repair site, contribute to the formation of an organized neotendon, and contribute to a persistent myofibroblast population in the native tendon stubs. The mechanisms dictating this highly specialized spatial response are unknown. We therefore utilized spatial transcriptomics to better define the spatio-molecular program of tendon healing. Integrated transcriptomic analyses across the healing time-course identifies five distinct molecular regions, including key interactions between the inflammatory bridging tissue and highly reactive tendon tissue at the repair site, with adult ScxLin cells being a central player in the transition from native tendon to reactive, remodeling tendon. Collectively, these data provide important insights into both the role of adult ScxLin cells during healing as well as the molecular mechanisms that underpin and coordinate the temporal and spatial healing phenotype, which can be leveraged to enhance the healing process.

Matching journals

The top 6 journals account for 50% of the predicted probability mass.

1
JCI Insight
241 papers in training set
Top 0.1%
26.3%
2
The FASEB Journal
175 papers in training set
Top 0.1%
9.3%
3
eLife
5422 papers in training set
Top 16%
4.9%
4
Nature Communications
4913 papers in training set
Top 35%
4.4%
5
Development
440 papers in training set
Top 0.6%
4.4%
6
Scientific Reports
3102 papers in training set
Top 35%
3.6%
50% of probability mass above
7
Cell Reports
1338 papers in training set
Top 14%
3.6%
8
npj Regenerative Medicine
21 papers in training set
Top 0.1%
2.8%
9
Disease Models & Mechanisms
119 papers in training set
Top 0.8%
2.1%
10
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 29%
1.9%
11
Acta Biomaterialia
85 papers in training set
Top 0.4%
1.8%
12
Science Advances
1098 papers in training set
Top 16%
1.8%
13
Biomaterials
78 papers in training set
Top 0.5%
1.7%
14
Frontiers in Cell and Developmental Biology
218 papers in training set
Top 5%
1.5%
15
PLOS ONE
4510 papers in training set
Top 58%
1.4%
16
iScience
1063 papers in training set
Top 21%
1.2%
17
Matrix Biology
28 papers in training set
Top 0.2%
1.2%
18
Molecular Biology of the Cell
272 papers in training set
Top 2%
1.1%
19
Osteoarthritis and Cartilage
30 papers in training set
Top 0.3%
0.9%
20
The Journal of Immunology
146 papers in training set
Top 1%
0.9%
21
Advanced Science
249 papers in training set
Top 16%
0.9%
22
Cell Reports Medicine
140 papers in training set
Top 8%
0.8%
23
Science Immunology
81 papers in training set
Top 2%
0.8%
24
Journal of Cell Science
353 papers in training set
Top 2%
0.8%
25
Cell Systems
167 papers in training set
Top 12%
0.7%
26
International Journal of Molecular Sciences
453 papers in training set
Top 17%
0.7%
27
Science Translational Medicine
111 papers in training set
Top 8%
0.5%
28
Journal of Molecular and Cellular Cardiology
39 papers in training set
Top 1.0%
0.5%
29
Developmental Cell
168 papers in training set
Top 13%
0.5%