Possibility of therapeutic intervention tendinopathies at the elbow joint

Author: Petra Novotna Institution: Department of Rehabilitation Medicine, Faculty of Medicine in Hradec Kralove, Charles University of Prag Title: Possibility of therapeutic intervention tendinopathies at the elbow joint Supervisor: Mgr. Ondrej Nemecek Pages: 81 Inserts: 1 The year of presentation: 2013 Keywords: Enthesopathy, the elbow joint, tennis elbow, kineziotaping This bachelor's degree thesis deals with the issue of enthesopathy in the elbow joint area. An overview of the most commonly occurring types is given and the clinical picture of the different types of this disease is described in detail. Attention is paid to the etiopathogenesis of enthesopathy from the perspective of orthopaedics, physical therapy, and holistic medicine. The examination is described, including medical history and special functional tests. Further, the most commonly used treatments including drug therapy, physical therapy and kineziotaping are described. The practical part is conducted in the form of qualitative research, containing three case study reports of patients with lateral epicondylitis and compares the results of Shockwave therapy, functional physiotherapy and surgical treatment

Additional file 10: of MethPat: a tool for the analysis and visualisation of complex methylation patterns obtained by massively parallel sequencing

Description of Methpat options. (DOCX 118 kb

Supplemental Material, Appendix_Trend_Checklist - A Nonrandomized Controlled Trial of Strengths Model Case Management in Hong Kong

<p>Supplemental Material, Appendix_Trend_Checklist for A Nonrandomized Controlled Trial of Strengths Model Case Management in Hong Kong by Emily W. S. Tsoi, Samson Tse, Chong-Ho Yu, Sau-Kam Chan, Eppie Wan, Stephen Wong, and Lucia Liu in Research on Social Work Practice</p

Additional file 6: Figure S4. of MethPat: a tool for the analysis and visualisation of complex methylation patterns obtained by massively parallel sequencing

Diverse and wide ranging epiallelic DNA methylation patterns of RASSF1A in MCF7 and NCCIT model cancer cell lines. (PNG 434 kb

Additional file 5: Table S2. of MethPat: a tool for the analysis and visualisation of complex methylation patterns obtained by massively parallel sequencing

Bisulfite PCR primers used in this study. (XLS 15 kb

Additional file 2: Figure S1. of MethPat: a tool for the analysis and visualisation of complex methylation patterns obtained by massively parallel sequencing

Example of a screenshot of Methpat visualisation. A. Epiallele representation of the patterns of DNA methylation for respective amplicon in respective sample. B. Count histogram, the abundance of each epiallele represented in A. C. Genomic co-ordinate and position of CpG of interest. D. Proportion of DNA methylation at each CpG position. E. Save button, export visualisation as a PNG file. F. Amplicon of interest. G. Legend depicting DNA methylation status. (PNG 202 kb

Additional file 9: Table S3. of MethPat: a tool for the analysis and visualisation of complex methylation patterns obtained by massively parallel sequencing

Amplicon details required for Methpat input (hg19 coordinates). (XLS 9 kb

Additional file 3: Figure S2. of MethPat: a tool for the analysis and visualisation of complex methylation patterns obtained by massively parallel sequencing

Example of a screenshot of the settings page for each Methpat visualisation. A number of parameters can be changed and the visualisation replotted for ease of interpretation. (PNG 92 kb

Additional file 7: Figure S5. of MethPat: a tool for the analysis and visualisation of complex methylation patterns obtained by massively parallel sequencing

Epiallelic DNA methylation patterns of the D-loop regulatory region of the mitochondrial genome. (PNG 163 kb

Additional file 1: of Copy number analysis by low coverage whole genome sequencing using ultra low-input DNA from formalin-fixed paraffin embedded tumor tissue

Figure S1. Profile of chromosome 7 for LPS1; Figure S2. Profile of chromosome 4 for LPS1; Figure S3.Comparison of measurement variability (MAPD); Figure S4. Alignment of reads from a WGA sample; Figure S5. Clustering of MCT-4 and MCT-6 5 ng, 20 ng, 100 ng (UA) and WGA; Figure S6. Correlation of FFPE block age with QC score. (PDF 823 kb