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1.	Braisch, U, et al. (author) Identification of symbol digit modality test score extremes in Huntington's disease 2019 In: American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics. - : Wiley. - 1552-485X .- 1552-4841. ; 180:3, s. 232-245 Journal article (peer-reviewed)
2.	Orth, M, et al. (author) Observing Huntington's disease: the European Huntington's Disease Network's REGISTRY 2011 In: Journal of neurology, neurosurgery, and psychiatry. - : BMJ. - 1468-330X .- 0022-3050. ; 82:12, s. 1409- Journal article (other academic/artistic)
3.	ANDERSEN, JT, et al. (author) Can finasteride reverse the progress of benign prostatic hyperplasia? A two-year placebo-controlled study. The Scandinavian BPH Study Group 1995 In: Urology. - : Elsevier BV. - 0090-4295. ; 46:5, s. 631-637 Journal article (peer-reviewed)
4.	Kvastad, Linda, et al. (author) Single cell analysis of cancer cells using an improved RT-MLPA method has potential for cancer diagnosis and monitoring 2015 In: Scientific Reports. - : Nature Publishing Group. - 2045-2322. ; 5 Journal article (peer-reviewed)abstract Single cell analysis techniques have great potential in the cancer genomics feld. The detection and characterization of circulating tumour cells are important for identifying metastatic disease at an early stage and monitoring it. This protocol is based on transcript profiling using Reverse Transcriptase Multiplex Ligation-dependent Probe Amplification (RT-MLPA), which is a specific method for simultaneous detection of multiple mRNA transcripts. Because of the small amount of (circulating) tumour cells, a pre-amplification reaction is performed after reverse transcription to generate a sufficient number of target molecules for the MLPA reaction. We designed a highly sensitive method for detecting and quantifying a panel of seven genes whose expression patterns are associated with breast cancer, and optimized the method for single cell analysis. For detection we used a fluorescence-dependent semi-quantitative method involving hybridization of unique barcodes to an array. We evaluated the method using three human breast cancer cell lines and identified specific gene expression profiles for each line. Furthermore, we applied the method to single cells and confirmed the heterogeneity of a cell population. Successful gene detection from cancer cells in human blood from metastatic breast cancer patients supports the use of RT-MLPA as a diagnostic tool for cancer genomics.

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Type of publication: journal article (4)

Type of content: peer-reviewed (3); other academic/artistic (1)

Author/Editor: Schmidt, S. (2); Svenningsson, P (2); Poewe, W (2); Hoffmann, R. (2); Edwards, M. (2); Taylor, R. (2); show more...; Peterson, M. (2); Thompson, J. (2); Weindl, A. (2); Roth, J. (2); Hughes, M (2); Wright, J (2); Wojcik, M. (2); Peter, M. (2); Clayton, C. (2); Barth, K. (2); Patel, A (2); Foster, J (2); Szczudlik, A (2); Paucar, M (2); CORTELLI, P (2); Wahlstrom, J (2); Rose, S (2); Thomas, G (2); Trautmann, S. (2); Hunt, S (2); Craufurd, D (2); Novak, M (2); Demonet, JF (2); Wright, A. (2); Held, C (2); Patton, M. (2); Weydt, P. (2); Capellari, S (2); Mir, P (2); Paganini, M. (2); Doherty, K (2); Lahiri, N (2); Priller, J (2); Sando, SB (2); Sorbi, S (2); Fannemel, M (2); Romero, I (2); Raymond, L (2); Wild, S (2); Lange, H. (2); Dujardin, K (2); Dunnett, SB (2); Ecker, D (2); Landwehrmeyer, B (2); show less...

University: Karolinska Institutet (3); Royal Institute of Technology (1); Uppsala University (1); Marie Cederschiöld högskola (1)

Language: English (4)

Research subject (UKÄ/SCB): Medical and Health Sciences (2); Natural sciences (1)

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