Course catalogue doctoral education - VT24
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Title | High Throughput Functional Genomic Technologies in Biomedical Research |
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Course number | 2537 |
Programme | Development and regeneration (DevReg) |
Language | English |
Credits | 1.5 |
Date | 2022-04-25 -- 2022-04-29 | Responsible KI department | Department of Biosciences and Nutrition |
Specific entry requirements | |
Purpose of the course | The purpose of the course is to give participants an introduction to high-throughput genomic technologies. Additionally, the participants will be able to understand which high throughput technology to apply in order to answer a specific scientific question. |
Intended learning outcomes | At the end of the course the students should be able to select appropriate high throughput genomic technologies in different formats based on modern sequencing and microarray techniques, including gene expression profiling, single cell transcriptomics, ChIP sequencing, methylation profiling and other genomic methods used in modern biomedical research for different types of research questions. They should also be able to discuss advantages and disadvantages of alternative technologies. |
Contents of the course | The course includes a combination of lectures, discussions and practical sessions to gain more insight in different technological platforms used for sequencing and microarray analysis in different applications. The course includes an introduction to fundamental concepts and methods used in bioinformatics to study genome function and variation using large-scale sequencing and microarray analysis that can be applied in biomedical research including students own projects. |
Teaching and learning activities | Lectures, seminars, demonstrations and data analysis. |
Compulsory elements | The students have to take active part in all activities. Attendance is compulsory for demonstrations and data analysis. An alternative time could be provided only under exceptional circumstances. If it is not possible to provide an alternative time during the course, this part will need to be taken at the next course occasion. Other absence can be compensated for by an additional task in agreement with the course organizers. |
Examination | Examination seminar with group presentations and discussions. The students will, in groups, select a paper of a relevant topic for the course, with the help of course leaders if necessary. The paper should be presented with specific focus on the technologies used. Each student should also be able to discuss advantages and disadvantages of alternative technologies and will be individually assessed. This seminar will take 2-3 hours. |
Literature and other teaching material | Recommended literature:
Reviews: 1. Trevino, V., Falciani, F., and Barrera-Saldana, H.A. (2007). DNA microarrays: a powerful genomic tool for biomedical and clinical research. Mol. Med. 13, 527-541. 2. Morozova, O., and Marra, M.A. (2008). Applications of next-generation sequencing technologies in functional genomics. Genomics 92, 255-264. 3. Mardis, E.R. (2011). A decade's perspective on DNA sequencing technology. Nature 470, 198-203. 4. Werner, T (2010). Next generation sequencing in functional genomics. Brief. Bioinform. 11, 499-511. 5. Hurd, P.J., and Nelson, C.J. (2009). Advantages of next-generation sequencing versus the microarray in epigenetic research. Brief. Funct. Genomic Proteomic 8, 174-183. 6. Jones PA. Functions of DNA methylation: islands, start sites, gene bodies and beyond. Nat Rev Genet. 2012 May 29;13(7):484-9 Reports: 1. Birney, E., Stamatoyannopoulos, J.A., Dutta, A., Guigo, R., Gingeras, T.R., Margulies, E.H., Weng, Z., Snyder, M., Dermitzakis, E.T., thurman, R.E., et al. (2007). Identification and analysis of functional elements in 1% of the human genome by the ENCODE pilot project. Nature 447, 799-816. 2. Lieberman-Aiden, E., van Berkum, N.L., Williams, L., Imakaev, M., Ragoczy, T., Telling, A., Amit, I., Lajoie, B.R., Sabo, P.J., Dorschner, M.O., et al. (2009). Comprehensive mapping of long-range interactions reveals folding principles of the human genome. Science New York, NY 326, 289-293. 3. Visel, A., Blow, M.J., Li, Z., Zhang, T., Akiyama, J.A., Holt, A., Plajzer-Frick, I., Shoukry, M., Wright, C., Chen, F., et al. (2009). ChIP-seq accurately predicts tissue-specific activity of enhancers. Nature 457, 854-858. 4.Tang, F., Barbacioru, C., Wang, Y., Nordman, E., Lee, C., Xu, N., Wang, X., Bodeau, J., Tuch, B.B., Siddiqui, A., et al. (2009). mRNA-Seq whole-transcriptome analysis of a single cell. Nature methods 6, 377-382. 5. Kulasingam, V., Pavlou, M.P. and Diamandis, E.P. (2010). Integrating high-throughput technologies in the quest for effective biomarkers for ovarian cancer. Nat. Rev. Cancer 10, 371-378. 6. Zhang, J. et al. (2011). The impact of next-generation sequencing on genomics. J. Genet. Genomics 38, 95-109. 7. Macarron, R., Banks, M.N., Bojanic, D.J., Cirovic, D.A., Garyantes, T., Green, D.V.S., Hertzberg, R.P., Janzen, W.P., Paslay, J.W., Schopfer, U. and Sittampalam, G.S. (2011). Impact of high-throughput screening in biomedical research. Nat. Rev. Drug Discov. 10, 188-195. 8. Stower, H. (2012). Technology: High-throughput enhancer screening. Nat. Rev. Genet. 13, 223. |
Number of students | 10 - 35 |
Selection of students | Selection will be based on 1) the relevance of the course syllabus for the applicant's doctoral project (according to written motivation), 2) start date of doctoral studies (priority given to earlier start date). |
More information | Monday to Friday 09.00-16.00. Seminars will be held within NEO's facilities at Campus Flemingsberg (Karolinska Institutet Neo Blickagången 16 Flemingsberg). |
Additional course leader | |
Latest course evaluation | Course evaluation report |
Course responsible |
Patrick Muller Department of Biosciences and Nutrition +467852481022 Patrick.Muller@ki.se |
Contact person |
Patrick Muller Institutionen för biovetenskaper och näringslära +467852481022 Patrick.Muller@ki.se Michael Jan Vanlandewyck Institutionen för medicin, Huddinge michael.vanlandewijck@ki.se |
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