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Sökning: WFRF:(Larsson Jimmy)

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1.
  • Pandzic, Tatjana, et al. (författare)
  • Somatic PRDM2 c.4467delA mutations in colorectal cancers control histone methylation and tumor growth
  • 2017
  • Ingår i: Oncotarget. - : Impact Journals, LLC. - 1949-2553. ; 8:58, s. 98646-98659
  • Tidskriftsartikel (refereegranskat)abstract
    • The chromatin modifier PRDM2/RIZ1 is inactivated by mutation in several forms of cancer and is a putative tumor suppressor gene. Frameshift mutations in the C-terminal region of PRDM2, affecting (A)8 or (A)9 repeats within exon 8, are found in one third of colorectal cancers with microsatellite instability, but the contribution of these mutations to colorectal tumorigenesis is unknown. To model somatic mutations in microsatellite unstable tumors, we devised a general approach to perform genome editing while stabilizing the mutated nucleotide repeat. We then engineered isogenic cell systems where the PRDM2 c.4467delA mutation in human HCT116 colorectal cancer cells was corrected to wild-type by genome editing. Restored PRDM2 increased global histone 3 lysine 9 dimethylation and reduced migration, anchorage-independent growth and tumor growth in vivo. Gene set enrichment analysis revealed regulation of several hallmark cancer pathways, particularly of epithelial-to-mesenchymal transition (EMT), with VIM being the most significantly regulated gene. These observations provide direct evidence that PRDM2 c.4467delA is a driver mutation in colorectal cancer and confirms PRDM2 as a cancer gene, pointing to regulation of EMT as a central aspect of its tumor suppressive action.
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  • Aguirre Rivera, Javier, 1989-, et al. (författare)
  • Real-time measurements of aminoglycoside effects on protein synthesis in live cells
  • 2021
  • Ingår i: Proceedings of the National Academy of Sciences of the United States of America. - : Proceedings of the National Academy of Sciences (PNAS). - 0027-8424 .- 1091-6490. ; 118:9
  • Tidskriftsartikel (refereegranskat)abstract
    • The spread of antibiotic resistance is turning many of the currently used antibiotics less effective against common infections. To address this public health challenge, it is critical to enhance our understanding of the mechanisms of action of these compounds. Aminoglycoside drugs bind the bacterial ribosome, and decades of results from in vitro biochemical and structural approaches suggest that these drugs disrupt protein synthesis by inhibiting the ribosome's translocation on the messenger RNA, as well as by inducing miscoding errors. So far, however, we have sparse information about the dynamic effects of these compounds on protein synthesis inside the cell. In the present study, we measured the effect of the aminoglycosides apramycin, gentamicin, and paromomycin on ongoing protein synthesis directly in live Escherichia coli cells by tracking the binding of dye-labeled transfer RNAs to ribosomes. Our results suggest that the drugs slow down translation elongation two- to fourfold in general, and the number of elongation cycles per initiation event seems to decrease to the same extent. Hence, our results imply that none of the drugs used in this study cause severe inhibition of translocation.
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4.
  • Ashouri, Arghavan, 1987, et al. (författare)
  • Pan-cancer transcriptomic analysis associates long non-coding RNAs with key mutational driver events
  • 2016
  • Ingår i: Nature Communications. - : Springer Science and Business Media LLC. - 2041-1723. ; 7
  • Tidskriftsartikel (refereegranskat)abstract
    • Thousands of long non-coding RNAs (lncRNAs) lie interspersed with coding genes across the genome, and a small subset has been implicated as downstream effectors in oncogenic pathways. Here we make use of transcriptome and exome sequencing data from thousands of tumours across 19 cancer types, to identify lncRNAs that are induced or repressed in relation to somatic mutations in key oncogenic driver genes. Our screen confirms known coding and non-coding effectors and also associates many new lncRNAs to relevant pathways. The associations are often highly reproducible across cancer types, and while many lncRNAs are co-expressed with their protein-coding hosts or neighbours, some are intergenic and independent. We highlight lncRNAs with possible functions downstream of the tumour suppressor TP53 and the master antioxidant transcription factor NFE2L2. Our study provides a comprehensive overview of lncRNA transcriptional alterations in relation to key driver mutational events in human cancers.
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5.
  • Brandis, Gerrit, 1985-, et al. (författare)
  • Antibiotic perseverance increases the risk of resistance development
  • 2023
  • Ingår i: Proceedings of the National Academy of Sciences of the United States of America. - : Proceedings of the National Academy of Sciences (PNAS). - 0027-8424 .- 1091-6490. ; 120:2
  • Tidskriftsartikel (refereegranskat)abstract
    • The rise of antibiotic-resistant bacterial infections poses a global threat. Antibiotic resistance development is generally studied in batch cultures which conceals the heterogeneity in cellular responses. Using single-cell imaging, we studied the growth response of Escherichia coli to sub-inhibitory and inhibitory concentrations of nine antibiotics. We found that the heterogeneity in growth increases more than what is expected from growth rate reduction for three out of the nine antibiotics tested. For two antibiotics (rifampicin and nitrofurantoin), we found that sub-populations were able to maintain growth at lethal antibiotic concentrations for up to 10 generations. This perseverance of growth increased the population size and led to an up to 40-fold increase in the frequency of antibiotic resistance mutations in gram-negative and gram-positive species. We conclude that antibiotic perseverance is a common phenomenon that has the potential to impact antibiotic resistance development across pathogenic bacteria.
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6.
  • Camsund, Daniel, 1980-, et al. (författare)
  • Time-resolved imaging-based CRISPRi screening
  • 2020
  • Ingår i: Nature Methods. - : NATURE PUBLISHING GROUP. - 1548-7091 .- 1548-7105. ; 17:1, s. 86-92
  • Tidskriftsartikel (refereegranskat)abstract
    • DuMPLING (dynamic mu-fluidic microscopy phenotyping of a library before in situ genotyping) enables screening of dynamic phenotypes in strain libraries and was used here to study genes that coordinate replication and cell division in Escherichia coli. Our ability to connect genotypic variation to biologically important phenotypes has been seriously limited by the gap between live-cell microscopy and library-scale genomic engineering. Here, we show how in situ genotyping of a library of strains after time-lapse imaging in a microfluidic device overcomes this problem. We determine how 235 different CRISPR interference knockdowns impact the coordination of the replication and division cycles of Escherichia coli by monitoring the location of replication forks throughout on average >500 cell cycles per knockdown. Subsequent in situ genotyping allows us to map each phenotype distribution to a specific genetic perturbation to determine which genes are important for cell cycle control. The single-cell time-resolved assay allows us to determine the distribution of single-cell growth rates, cell division sizes and replication initiation volumes. The technology presented in this study enables genome-scale screens of most live-cell microscopy assays.
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7.
  • Chavez, Juan D, et al. (författare)
  • A General Method for Targeted Quantitative Cross-Linking Mass Spectrometry.
  • 2016
  • Ingår i: PLOS ONE. - : Public Library of Science (PLoS). - 1932-6203. ; 11:12
  • Tidskriftsartikel (refereegranskat)abstract
    • Chemical cross-linking mass spectrometry (XL-MS) provides protein structural information by identifying covalently linked proximal amino acid residues on protein surfaces. The information gained by this technique is complementary to other structural biology methods such as x-ray crystallography, NMR and cryo-electron microscopy[1]. The extension of traditional quantitative proteomics methods with chemical cross-linking can provide information on the structural dynamics of protein structures and protein complexes. The identification and quantitation of cross-linked peptides remains challenging for the general community, requiring specialized expertise ultimately limiting more widespread adoption of the technique. We describe a general method for targeted quantitative mass spectrometric analysis of cross-linked peptide pairs. We report the adaptation of the widely used, open source software package Skyline, for the analysis of quantitative XL-MS data as a means for data analysis and sharing of methods. We demonstrate the utility and robustness of the method with a cross-laboratory study and present data that is supported by and validates previously published data on quantified cross-linked peptide pairs. This advance provides an easy to use resource so that any lab with access to a LC-MS system capable of performing targeted quantitative analysis can quickly and accurately measure dynamic changes in protein structure and protein interactions.
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9.
  • Demoulin, Jean-Baptiste, et al. (författare)
  • The gene expression profile of PDGF-treated neural stem cells corresponds to partially differentiated neurons and glia
  • 2006
  • Ingår i: Growth Factors. - : Informa UK Limited. - 0897-7194 .- 1029-2292. ; 24:3, s. 184-196
  • Tidskriftsartikel (refereegranskat)abstract
    • We have previously shown that platelet-derived growth factor AA (PDGF-AA) stimulates the expansion of neuronal progenitors from neural stem cells, but is unable to replace fibroblast-growth factor 2 (FGF-2) as a stem cell mitogen. In the present study, we compared gene expression in neural stem cells that were grown in the presence of FGF-2 and in cells cultured with PDGF-AA or in the absence of growth factor, which induces differentiation. The genetic program elicited by PDGF-AA (156 significantly regulated genes) was not unique, but an intermediate between the ones of FGF-2-cultured stem cells and differentiated cells. These observations are compatible with the hypothesis that PDGF-AA induces a partial differentiation of neural stem cells, which retain the ability to proliferate, rather than acting solely as an instructing agent for neuronal differentiation. Finally, the transcriptional signature of stem cells grown with FGF-2 included a large number of genes over-expressed in gliomas and a core set of conserved genes periodically expressed during the eukaryote cell cycle.
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10.
  • Elliott, Kerryn, et al. (författare)
  • Elevated pyrimidine dimer formation at distinct genomic bases underlies promoter mutation hotspots in UV-exposed cancers.
  • 2018
  • Ingår i: PLoS genetics. - : Public Library of Science (PLoS). - 1553-7404. ; 14:12
  • Tidskriftsartikel (refereegranskat)abstract
    • Sequencing of whole cancer genomes has revealed an abundance of recurrent mutations in gene-regulatory promoter regions, in particular in melanoma where strong mutation hotspots are observed adjacent to ETS-family transcription factor (TF) binding sites. While sometimes interpreted as functional driver events, these mutations are commonly believed to be due to locally inhibited DNA repair. Here, we first show that low-dose UV light induces mutations preferably at a known ETS promoter hotspot in cultured cells even in the absence of global or transcription-coupled nucleotide excision repair (NER). Further, by genome-wide mapping of cyclobutane pyrimidine dimers (CPDs) shortly after UV exposure and thus before DNA repair, we find that ETS-related mutation hotspots exhibit strong increases in CPD formation efficacy in a manner consistent with tumor mutation data at the single-base level. Analysis of a large whole genome cohort illustrates the widespread contribution of this effect to recurrent mutations in melanoma. While inhibited NER underlies a general increase in somatic mutation burden in regulatory elements including ETS sites, our data supports that elevated DNA damage formation at specific genomic bases is at the core of the prominent promoter mutation hotspots seen in skin cancers, thus explaining a key phenomenon in whole-genome cancer analyses.
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