Integrative small and long RNA omics analysis of human healing and nonhealing wounds discovers cooperating microRNAs as therapeutic targets

  1. Zhuang Liu
  2. Letian Zhang
  3. Maria A Toma
  4. Dongqing Li
  5. Xiaowei Bian
  6. Irena Pastar
  7. Marjana Tomic-Canic
  8. Pehr Sommar  Is a corresponding author
  9. Ning Xu Landén  Is a corresponding author
  1. Karolinska Institute, Sweden
  2. Chinese Academy of Medical Sciences and Peking Union Medical College, China
  3. University of Miami, United States
  4. Karolinska University Hospital, Sweden

Abstract

MicroRNAs (miR), as important epigenetic control factors, reportedly regulate wound repair. However, our insufficient knowledge of clinically relevant miRs hinders their potential therapeutic use. For this, we performed paired small RNA and long RNA sequencing and integrative omics analysis in human tissue samples, including matched skin and acute wounds collected at each healing stage and chronic non-healing venous ulcers (VU). On the basis of the findings, we developed a compendium (https://www.xulandenlab.com/humanwounds-mirna-mrna), which will be an open, comprehensive resource to broadly aid wound healing research. With this first clinical, wound-centric resource of miRs and mRNAs, we identified 17 pathologically relevant miRs that exhibited abnormal VU expression and displayed their targets enriched explicitly in the VU gene signature. Intermeshing regulatory networks controlled by these miRs revealed their high cooperativity in contributing to chronic wound pathology characterized by persistent inflammation and proliferative phase initiation failure. Furthermore, we demonstrated that miR-34a, miR-424, and miR-516, upregulated in VU, cooperatively suppressed keratinocyte migration and growth while promoting inflammatory response. By combining miR expression patterns with their specific target gene expression context, we identified miRs highly relevant to VU pathology. Our study opens the possibility of developing innovative wound treatment that targets pathologically relevant cooperating miRs to attain higher therapeutic efficacy and specificity.

Data availability

Sequencing data have been deposited in GEO under accession codes GSE174661 and GSE196773.The analyzed dataset is presented with an online R Shiny app and can be accessed through a browsable web portal (https://www.xulandenlab.com/humanwounds-mirna-mrna).The analysis source code is available at https://github.com/Zhuang-Bio/miRNAprofiling.Source data files have been provided by excel files for figures 1c, 1d, 1e, 2a, 2b, 2c, 2d, 2e, 4a, 4b, 5b-j, 6k, 8, 9 and figure supplements 2-2, 2-4c, 6, 7a, b lower panels.

The following data sets were generated

Article and author information

Author details

  1. Zhuang Liu

    Department of Medicine, Karolinska Institute, Stockholm, Sweden
    Competing interests
    No competing interests declared.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0001-8938-0086
  2. Letian Zhang

    Department of Medicine, Karolinska Institute, Stockholm, Sweden
    Competing interests
    No competing interests declared.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-0987-0905
  3. Maria A Toma

    Department of Medicine, Karolinska Institute, Stockholm, Sweden
    Competing interests
    No competing interests declared.
  4. Dongqing Li

    Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, China
    Competing interests
    No competing interests declared.
  5. Xiaowei Bian

    Department of Medicine, Karolinska Institute, Stockholm, Sweden
    Competing interests
    No competing interests declared.
  6. Irena Pastar

    Department of Dermatology and Cutaneous Surgery, University of Miami, Miami, United States
    Competing interests
    Irena Pastar, is on the Board of Directors for the Wound Healing Society. Irena Pastar received payment for speaking at the Symposium of Advanced Wound Care and Wound Healing Society 2022 meeting, and the World Union of the Wound Healing Societies 2022. The author has no other competing interests to declare..
  7. Marjana Tomic-Canic

    Department of Dermatology and Cutaneous Surgery, University of Miami, Miami, United States
    Competing interests
    Marjana Tomic-Canic, received grants from NIH/NIDDK [U01DK119085], NIH/NINR [R01NR015649], NIH/NIDDK [U24DK115255] and NIH/NIDDK [R41DK127900] for research unrelated to the topic of the manuscript. Marjana Tomic-Canic received payment for attending, speaking and moderating at the Symposium of Advanced Wound Care and Wound Healing Society 2022 meeting, and for attending the World Union of the Wound Healing Societies 2022. Marjana Tomic-Canic participates on the Scientific Advisory Board of Molnlycke. The patent No. 63/335,306 Theraputic Compositions" is pending. The author has no other competing interests to declare.".
  8. Pehr Sommar

    Department of Plastic and Reconstructive Surgery, Karolinska University Hospital, Stockholm, Sweden
    For correspondence
    pehr.sommar@regionstockholm.se
    Competing interests
    No competing interests declared.
  9. Ning Xu Landén

    Department of Medicine, Karolinska Institute, Solna, Sweden
    For correspondence
    ning.xu@ki.se
    Competing interests
    No competing interests declared.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0003-4868-3798

Funding

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Ethics

Human subjects: Written informed consent was obtained from all the donors to collect and use the tissue samples.The study was approved by the Stockholm Regional Ethics Committee and conducted according to the Declaration of Helsinki's principles.

Copyright

© 2022, Liu et al.

This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.

Metrics

  • 1,991
    views
  • 365
    downloads
  • 16
    citations

Views, downloads and citations are aggregated across all versions of this paper published by eLife.

Download links

A two-part list of links to download the article, or parts of the article, in various formats.

Downloads (link to download the article as PDF)

Open citations (links to open the citations from this article in various online reference manager services)

Cite this article (links to download the citations from this article in formats compatible with various reference manager tools)

  1. Zhuang Liu
  2. Letian Zhang
  3. Maria A Toma
  4. Dongqing Li
  5. Xiaowei Bian
  6. Irena Pastar
  7. Marjana Tomic-Canic
  8. Pehr Sommar
  9. Ning Xu Landén
(2022)
Integrative small and long RNA omics analysis of human healing and nonhealing wounds discovers cooperating microRNAs as therapeutic targets
eLife 11:e80322.
https://doi.org/10.7554/eLife.80322

Share this article

https://doi.org/10.7554/eLife.80322

Further reading

    1. Computational and Systems Biology
    2. Neuroscience
    Anna Cattani, Don B Arnold ... Nancy Kopell
    Research Article

    The basolateral amygdala (BLA) is a key site where fear learning takes place through synaptic plasticity. Rodent research shows prominent low theta (~3–6 Hz), high theta (~6–12 Hz), and gamma (>30 Hz) rhythms in the BLA local field potential recordings. However, it is not understood what role these rhythms play in supporting the plasticity. Here, we create a biophysically detailed model of the BLA circuit to show that several classes of interneurons (PV, SOM, and VIP) in the BLA can be critically involved in producing the rhythms; these rhythms promote the formation of a dedicated fear circuit shaped through spike-timing-dependent plasticity. Each class of interneurons is necessary for the plasticity. We find that the low theta rhythm is a biomarker of successful fear conditioning. The model makes use of interneurons commonly found in the cortex and, hence, may apply to a wide variety of associative learning situations.

    1. Cancer Biology
    2. Computational and Systems Biology
    Rosalyn W Sayaman, Masaru Miyano ... Mark LaBarge
    Research Article

    Effects from aging in single cells are heterogenous, whereas at the organ- and tissue-levels aging phenotypes tend to appear as stereotypical changes. The mammary epithelium is a bilayer of two major phenotypically and functionally distinct cell lineages: luminal epithelial and myoepithelial cells. Mammary luminal epithelia exhibit substantial stereotypical changes with age that merit attention because these cells are the putative cells-of-origin for breast cancers. We hypothesize that effects from aging that impinge upon maintenance of lineage fidelity increase susceptibility to cancer initiation. We generated and analyzed transcriptomes from primary luminal epithelial and myoepithelial cells from younger <30 (y)ears old and older >55y women. In addition to age-dependent directional changes in gene expression, we observed increased transcriptional variance with age that contributed to genome-wide loss of lineage fidelity. Age-dependent variant responses were common to both lineages, whereas directional changes were almost exclusively detected in luminal epithelia and involved altered regulation of chromatin and genome organizers such as SATB1. Epithelial expression of gap junction protein GJB6 increased with age, and modulation of GJB6 expression in heterochronous co-cultures revealed that it provided a communication conduit from myoepithelial cells that drove directional change in luminal cells. Age-dependent luminal transcriptomes comprised a prominent signal that could be detected in bulk tissue during aging and transition into cancers. A machine learning classifier based on luminal-specific aging distinguished normal from cancer tissue and was highly predictive of breast cancer subtype. We speculate that luminal epithelia are the ultimate site of integration of the variant responses to aging in their surrounding tissue, and that their emergent phenotype both endows cells with the ability to become cancer-cells-of-origin and represents a biosensor that presages cancer susceptibility.