Ed in this study were only bioinformatically predicted and should be considered for further validation and functional examination.Supporting InformationTable S1 Details of the primary classic chordomatissues and control specimens included in this study. (DOCX)Table SmiRNAs that were significantly dysregulated in chordomas compared with fetal notochords. (DOCX)Table S3 Putative target genes of the 33 miRNAs predicted by TargetScan. (XLS) Table S4 mRNAs that were differently expressed in chordomas relative to fetal notochords. (XLS) Table S5 Intersecting genes targeted by dysregulated miRNA and encoding dysregulated mRNA. (XLS) Table S6 Pathways corresponding to the significantly upregulated intersecting genes. (XLS)AcknowledgmentsWe are most grateful to Qinghua Cui (Department of Biomedical Informatics, Peking University Health Science Center), We thank Chen Huang (Central Laboratory, Peking University Third JW 74 price Hospital, Beijing, China) for providing useful advice during the analysis of miRNA expression data; Yanlin Yang and Li Chen (Central Laboratory, Peking University Third Hospital, Beijing, China) for their excellent IHC staining; Shaomin Yang and Limei Guo (Pathology Department, Peking University Health Science Centre, Beijing, China) for their professional technical assistance in LCM. We thank the institute of pathology and Chordoma Foundation for supporting chordoma cell lines to further our research.Author ContributionsConceived and designed the experiments: ZL. Performed the experiments: CL. Analyzed the data: CL. Contributed reagents/materials/analysis tools: HZ XL. Wrote the paper: CL. Performed part of the JW 74 web experiments and contributed materials: LJ FW. Performed part of the experiments (such as performed qRT-PCR): CM. Performed part of the experiments (such as confirmed tissue samples): SY.
Cell migration plays a key role in development [1,2], repair [3?5] and disease [6,7]. Abnormalities in cell migration are associated with malignant spreading [7?] and slowed wound repair [10]. Potential therapies aimed at treating these abnormalities may seek to manipulate the rate of migration by applying pharmaceutical drugs or topical treatments [8,10,11]. Development and validation of such therapies can be assessed by comparing assays performed under control conditions with an equivalent assay where the treatment has been applied [12]. In vitro migration assays can also be used to quantify the role of experimental variations such as the influence of different substrates [3,4]. Regardless of the purpose for performing an in vitro cell migration assay, image detection methods that can be used to quantify the rate of cell migration are an essential element of interpreting and quantifying such assays. Various types of assays have been used to study cell migration including two-dimensional scratch assays [3,4] and three-dimensional Transwell assays [13,14]. More recently, two-dimensional circular barrier assays have become a popular alternative to scratch assays [15] since they do not damage the cell monolayer, or the substrate, and are therefore thought to be more reproducible than scratch assays [8,16]. Barrier assays are performed by placing a population of cells inside a circular barrier. The barrier is lifted and the subsequent spreading of thepopulation is measured [17]. An essential element of interpreting and quantifying a barrier assay is to locate the position of the leading edge of the spreading population so that the rate at which t.Ed in this study were only bioinformatically predicted and should be considered for further validation and functional examination.Supporting InformationTable S1 Details of the primary classic chordomatissues and control specimens included in this study. (DOCX)Table SmiRNAs that were significantly dysregulated in chordomas compared with fetal notochords. (DOCX)Table S3 Putative target genes of the 33 miRNAs predicted by TargetScan. (XLS) Table S4 mRNAs that were differently expressed in chordomas relative to fetal notochords. (XLS) Table S5 Intersecting genes targeted by dysregulated miRNA and encoding dysregulated mRNA. (XLS) Table S6 Pathways corresponding to the significantly upregulated intersecting genes. (XLS)AcknowledgmentsWe are most grateful to Qinghua Cui (Department of Biomedical Informatics, Peking University Health Science Center), We thank Chen Huang (Central Laboratory, Peking University Third Hospital, Beijing, China) for providing useful advice during the analysis of miRNA expression data; Yanlin Yang and Li Chen (Central Laboratory, Peking University Third Hospital, Beijing, China) for their excellent IHC staining; Shaomin Yang and Limei Guo (Pathology Department, Peking University Health Science Centre, Beijing, China) for their professional technical assistance in LCM. We thank the institute of pathology and Chordoma Foundation for supporting chordoma cell lines to further our research.Author ContributionsConceived and designed the experiments: ZL. Performed the experiments: CL. Analyzed the data: CL. Contributed reagents/materials/analysis tools: HZ XL. Wrote the paper: CL. Performed part of the experiments and contributed materials: LJ FW. Performed part of the experiments (such as performed qRT-PCR): CM. Performed part of the experiments (such as confirmed tissue samples): SY.
Cell migration plays a key role in development [1,2], repair [3?5] and disease [6,7]. Abnormalities in cell migration are associated with malignant spreading [7?] and slowed wound repair [10]. Potential therapies aimed at treating these abnormalities may seek to manipulate the rate of migration by applying pharmaceutical drugs or topical treatments [8,10,11]. Development and validation of such therapies can be assessed by comparing assays performed under control conditions with an equivalent assay where the treatment has been applied [12]. In vitro migration assays can also be used to quantify the role of experimental variations such as the influence of different substrates [3,4]. Regardless of the purpose for performing an in vitro cell migration assay, image detection methods that can be used to quantify the rate of cell migration are an essential element of interpreting and quantifying such assays. Various types of assays have been used to study cell migration including two-dimensional scratch assays [3,4] and three-dimensional Transwell assays [13,14]. More recently, two-dimensional circular barrier assays have become a popular alternative to scratch assays [15] since they do not damage the cell monolayer, or the substrate, and are therefore thought to be more reproducible than scratch assays [8,16]. Barrier assays are performed by placing a population of cells inside a circular barrier. The barrier is lifted and the subsequent spreading of thepopulation is measured [17]. An essential element of interpreting and quantifying a barrier assay is to locate the position of the leading edge of the spreading population so that the rate at which t.

Ed in this study were only bioinformatically predicted and should be

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