Mouse wound healing [RNA-seq]
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ABSTRACT:
PROVIDER: PRJNA526702 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Purpose: To explore the changes of genes expression in different time points during mouse wound healing. Two wounds tissue from one animal were pooled, three animals were used per time point. The wounds tissue was collected on day 0, 1, 3, 5, 7 after cutting. Skin was cleaned of muscle and fat tissue; total RNA was extracted using the RNeasy mini kits (Qiagen), purified using Direct-zol RNA MiniPrep kit (Zymo Research). Next-generation libraries were prepared using the VAHTS TM mRNA-seq V2 Library Prep Kit for Illumina (Vazyme, #NR601). RNA-seq libraries were run on an Illumina HiSeq X-Ten next-generation sequencer. Analysis of RNA-seq data was done using the DESeq package in R.
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Project description:Single-cell RNA-seq analysis of cutaneous wound healing in mouse
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Project description:Bulk-cell RNA-seq analysis of early cutaneous wound healing in mouse
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Project description:To study early-onset gene expression changes in cutaneous wound healing, 3 mm wounds were induced into the back skin of female wildtype C57BL/6 mice using a biopsy punch. Mice were sacrificed 2h, 6h or 24h post wound induction (PWI) and 1 - 1.5 mm of skin lining the wound edge was isolated and sequenced. The skin from the initial punch biopsy (0h PWI) was preserved and taken as a control sample to identify differentially expressed genes.
2018-07-31 | E-MTAB-6686 | biostudies-arrayexpress
Project description:Studying the transcriptomic response of different epidermal stem cell populations to wounding has been difficult due to intermixing of wound healing and homeostastic cells from different stem cell pools in bulk-cell sequencing setups. Here, we circumvent those problems by using a single-cell sequencing approach. We randomly sequenced the traced progeny of either Lgr5 or Lgr6 stem cells isolated from wounded or unwounded skin 0 day (control), 1 d, 4 d, 7 d, 10 d or more than 1 month after wounding. We then identified Lgr5 or Lgr6 wound cells using a computational approach. Wound cells were defined by using a negative binominal Naïve Bayes classifier with 0-day control cells (unwounded mice) as reference. Wound cell populations were defined by clustering wound cells in t-SNE space using k-means clustering.
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Project description:Wound healing is essential to repair the skin after injury. In the epidermis, distinct stem cells (SCs) populations contribute to wound healing. However, how SCs balance proliferation, differentiation and migration to repair a wound remains poorly understood. Here we show the cellular and molecular mechanisms that regulate wound healing in mouse tail epidermis. Using a combination of proliferation kinetics experiments and molecular profiling, we identify the gene signatures associated with proliferation, differentiation and migration in different regions surrounding the wound. Functional experiments show that SC proliferation, migration and differentiation can be uncoupled during wound healing. Lineage tracing and quantitative clonal analysis reveal that, following wounding, progenitors divide more rapidly, but conserve their homeostatic mode of division, leading to their rapid depletion whereas SCs become active, giving rise to new progenitors that expand and repair the wound. These results have important implications for tissue regeneration, acute and chronic wound disorders.
2017-02-28 | GSE93638 | GEO
Project description:Wound healing is essential to repair the skin after injury. In the epidermis, distinct stem cells (SCs) populations contribute to wound healing. However, how SCs balance proliferation, differentiation and migration to repair a wound remains poorly understood. Here we show the cellular and molecular mechanisms that regulate wound healing in mouse tail epidermis. Using a combination of proliferation kinetics experiments and molecular profiling, we identify the gene signatures associated with proliferation, differentiation and migration in different regions surrounding the wound. Functional experiments show that SC proliferation, migration and differentiation can be uncoupled during wound healing. Lineage tracing and quantitative clonal analysis reveal that, following wounding, progenitors divide more rapidly, but conserve their homeostatic mode of division, leading to their rapid depletion whereas SCs become active, giving rise to new progenitors that expand and repair the wound. These results have important implications for tissue regeneration, acute and chronic wound disorders.
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Project description:To identify the candidate miRNAs that might compromise wound healing and contribute to the age-associated delay in wound repair, global miRNA profiling was performed in mouse back telogen skin of young (8-week-old) and aged (2-year-old) animals.
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Project description:Urinary bladder wound healing is today pooorly chracterized. MicroRNAs are small non-coding RNA molecules with regulatory functions. In this study we aimed at identifying microRNAs expressed during bladder wound healing. We performed Affymetrix microRNA profiling of the rodent urinary bladder during healing of a surgically created wound.
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Project description:Skin wound healing is one of the major prevalent medical problems in the worldwide. Wound healing involves multi-process synergy and re-epithelialization is an essential part of wound healing. Histone H3K36 tri-methylase Setd2 has been extensively studied in different biological processes and diseases. However, the function of Setd2 in the wound healing remains unclear. To elucidate the biological role of Setd2 in the skin wound healing, conditional gene targeting was employed to establish epidermis-specific Setd2-deficient mice. We found that Setd2 deficiency resulted in accelerated re-epithelialization during cutaneous wound healing by promoting keratinocytes proliferation and migration. Furthermore, we demonstrated that loss of Setd2 activated the AKT/mTOR pathway, and pharmacological inhibitions of AKT and mTOR with MK2206 and rapamycin delayed wound closure, respectively. In conclusion, our results reveal the essential role of Setd2 in skin wound healing that is Setd2 loss promotes cutaneous wound healing via activation of AKT/mTOR signaling.
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