Teaching learning objectives

Teaching learning objectives for 2017/18

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Teaching – Learning Objectives 2017 / 2018

Next Generation Sequencing - Lee Murphy

Learning Outcomes:

  • Importance of understanding sample provenance from sample collection through to sequencing
  • Overview of current sequencing platforms available on the Western General Campus and elsewhere in Edinburgh
  • Importance of choosing the correct sequencing platform based on platform specifications and project requirements.
  • An understanding of different sequencing protocols and how each sequencing platform works.
  • An oversight of future genomic technologies

Translating your Research - Helen Nickerson

  • Recognise the importance of translating MRC-funded research towards health and economic impact
  • Understand the different ways research may be translated
  • Understand the purpose and nature of intellectual property
  • Develop a basic understanding of processes involved in translating research output towards novel diagnostic or therapeutic techniques
  • Develop a basic understanding of the pathways and support available to translate research

Research Best Practice - Helen Nickerson, Kerri Miller

  • Recognise our responsibility to the University and research funders in the way we conduct our research
  • Understand the need for proper research ethics
  • Understand the systems used by the University and MRC to track research impact
  • Understand what Open Access publication means and how this can be achieved through University support
  • Understand the importance of proper data management and how to plan for this

Disease Mechanisms 1- Toby Hurd

  • Understand the basic biology of primary cilia with respect to structure and function
  • Appreciate the growing role of cilia in human disease with a focus on the kidney and eye
  • Understand the genetics of cilia-associated disease
  • Utilisation of web-based tools and cell biology to identify disease-causing genes

Disease Mechanisms 2 - Alex Von Kreigsheim

  • How the mass spectrometer works
  • Analysing mass spectrometry data
  • Protein complexes regulating cell signalling
  • Design and execution of interaction proteomic experiments.

Disease Mechansims 3 – Genome editing technologies in basic research: from historical perspectives to state of the art - Andrew Wood

  • Understand the principles of genome editing and the key discoveries that led to its development.
  • Design simple gene disruption and gene correction experiments using Cas9.
  • Understand current strategies for Cas9-based high throughput functional genetic screens, including the use of deep sequencing approaches for quantitative analyses.
  • Identify limitations of current technologies, and discuss how current and future challenges will be met.

Imaging at the IGMM Part 1 - Ann Wheeler & Team

  • Principles of Optics
  • Understanding of the technologies available in the Imaging facility
  • Basic understanding of image analysis and resources we have
  • Practical experience of Mesoscopy and Fluorescent microscopy
  • Practical experience of Confocal microscopy

Quantitative Skills 7 – Imaging at the IGMM Part 2

  • Getting more from your data, an introduction to image informatics and automation (*)
  • Understanding of the image informatics resources available at the IGMM
  • The necessity of automation in processing of image data
  • Accepted standards for image analysis in the Biomedical research field
  • Introduction to Scripting, Batch processing and Machine learning software
  • Generation of a basic data analysis pipeline for automated analysis

Quantitative Skills 8 – Super Resolution Imaging - Ann Wheeler

Super-resolution microscopy, a Nobel pursuit in interdisciplinary research

  • What defines the resolution limit and the implications of this
  • General introduction to standard super-resolution modalities
  • What is ESRIC and what can it do for my PhD?
  • Use and application of SIM and STORM in IGMM research.
  • Emerging technologies for nanoscale imaging.

Biomedical Genomics 1 - Alison Meynert

  • To gain an understanding of the computational challenges involved in extracting meaningful information from raw whole genome sequencing (WGS) data.
  • To understand potential pitfalls and commonly used algorithms used to align WGS to a reference genome assembly.
  • To understand the strategies and algorithms commonly used to predict the presence and functional significance of genetic variants detected in aligned WGS data.

Biomedical Genomics 2 - Chris Ponting

  • Become familiar with the logic and challenges underlying the identification of causative variants.
  • Identify the importance of traits relevant to different tissues and cell types.
  • Discuss the potential and opportunities of CRISPR/Cas9 technology to discover causative variants.
  • Discuss the importance of experimental design and hypothesis testing in identifying causative variants.
  • Learn to integrate results from different experiments to select variants of interest.

Biomedical Genomics 4 - Chris Haley

  • The basis of quantitative genetic variation
  • Heritability and its estimation
  • The threshold model of disease
  • Linkage disequilibrium and association tests.

Biomedical Genomics 7 - Susan Farrington

  •  GWAS identification of expression Quantitative trait loci/ differential expression and links with anatomy/ physiology.

Genome Regulation 1 - Duncan Sproul, Bob Hill

Familiarity with the regulation of tissue-specific gene expression by enhancers.

  • Understanding of the diversity of the enhancer landscape (eg super enhancers and enhancer archipeligos).
  • Understanding of the importance of transcription factors in gene regulation.
  • Knowledge of the types of interactions that can occur between transcription factors and epigenetic marks (eg pioneer factors).

Genome Regulation 4 - Javier Caceres

1] Introduction to general mechanisms of post-transcriptional regulation of gene expression

2] RNA biology methods

  • Transcriptomic approaches
  • RNA-seq analysis of Alternative splicing
  • CLIP (UV cross-linking immunoprecipitation)
  • Structural approaches (SHAPE)
  • Ribosomal profiling
  • RNAi screens

3] RNA quality control mechanisms

  • Major focus on the Nonsense-mediated decay (NMD) pathway

Genome Regulation 6 - Wendy Bickmore

  • Understand the technical limitations of methods for studying higher-order chromatin organisation and the importance of orthologonal methods
  • Appreciate the distinction between correlation and causation, and think about experimental methods that can distinguish cause from consequence
  • Understand the importance of tissue-specific gene control by distant cis-regulatory elements (enhancers), their exquisite cell-specificity and the technical challenges that this poses.
  • Have an appreciation of the importance of genetic variation in cis-regulatory elements for human disease.

Interdisciplinary Interactions 1 – Drug Discovery - Asier Unciti-Broceta

  • Differences between small molecule drugs and biotherapeutics
  • Basis of drug design
  • Understanding the challenges associated with the development of new drugs

Interdisciplinary Interactions 3 – Next Generation Sequencing in Clinical Practice, Mary Porteous

  • Compare and contrast the requirements on data obtained in a research setting versus a diagnostic setting.
  • Outline a structured approach to the interpretation of a variant of uncertain significance in a diagnostic laboratory.
  • Appreciate some of the  ethical and counselling issues involved in genetic diagnosis.