| 1. |
- Gastaldi, Cécile, et al.
(författare)
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miR-193b/365a cluster controls progression of epidermal squamous cell carcinoma.
- 2014
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Ingår i: Carcinogenesis. - : Oxford University Press (OUP). - 0143-3334 .- 1460-2180. ; 35:5, s. 1110-20
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Tidskriftsartikel (refereegranskat)abstract
- Incidence of cutaneous squamous cell carcinomas (cSCCs) constantly increases in the Caucasian population. Developing preferentially on precancerous lesions such as actinic keratoses due to chronic sunlight exposure, cSCCs result from the malignant transformation of keratinocytes. Although a resection of the primary tumor is usually curative, a subset of aggressive cSCCs shows a high risk of recurrence and metastases. The characterization of the molecular dysfunctions involved in cSCC development should help to identify new relevant targets against these aggressive cSCCs. In that context, we have used small RNA sequencing to identify 100 microRNAs (miRNAs) whose expression was altered during chemically induced mouse skin tumorigenesis. The decreased expression of the miR-193b/365a cluster during tumor progression suggests a tumor suppressor role. Ectopic expression of these miRNAs in tumor cells indeed inhibited their proliferation, clonogenic potential and migration, which were stimulated in normal keratinocytes when these miRNAs were blocked with antisense oligonucleotides. A combination of in silico predictions and transcriptome analyses identified several target genes of interest. We validated KRAS and MAX as direct targets of miR-193b and miR-365a. Repression of these targets using siRNAs mimicked the effects of miR-193b and miR-365a, suggesting that these genes might mediate, at least in part, the tumor-suppressive action of these miRNAs.
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| 2. |
- Lebrigand, Kevin, et al.
(författare)
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The spatial landscape of gene expression isoforms in tissue sections
- 2020
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Annan publikation (övrigt vetenskapligt/konstnärligt)abstract
- In situ capturing technologies add tissue context to gene expression data, with the potential of providing a greater understanding of complex biological systems. However, splicing variants and full-length sequence heterogeneity cannot be characterized with current methods. Here, we introduce Spatial Isoform Transcriptomics (SiT), an explorative method for characterizing spatial isoform and sequence heterogeneity in tissue sections, and show how it can be used to profile isoform expression and sequence heterogeneity in a tissue context
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| 3. |
- Lebrigand, Kevin, et al.
(författare)
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The spatial landscape of gene expression isoforms in tissue sections
- 2023
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Ingår i: Nucleic Acids Research. - : Oxford University Press (OUP). - 0305-1048 .- 1362-4962. ; 51:8
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Tidskriftsartikel (refereegranskat)abstract
- In situ capturing technologies add tissue context to gene expression data, with the potential of providing a greater understanding of complex biological systems. However, splicing variants and full-length sequence heterogeneity cannot be characterized at spatial resolution with current transcriptome profiling methods. To that end, we introduce spatial isoform transcriptomics (SiT), an explorative method for characterizing spatial isoform variation and sequence heterogeneity using long-read sequencing. We show in mouse brain how SiT can be used to profile isoform expression and sequence heterogeneity in different areas of the tissue. SiT reveals regional isoform switching of Plp1 gene between different layers of the olfactory bulb, and the use of external single-cell data allows the nomination of cell types expressing each isoform. Furthermore, SiT identifies differential isoform usage for several major genes implicated in brain function (Snap25, Bin1, Gnas) that are independently validated by in situ sequencing. SiT also provides for the first time an in-depth A-to-I RNA editing map of the adult mouse brain. Data exploration can be performed through an online resource, where isoform expression and RNA editing can be visualized in a spatial context.
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