Module Catalogues, Xi'an Jiaotong-Liverpool University   
 
Module Code: BIO403
Module Title: Research Methods in Post-Genomic Biology
Module Level: Level 4
Module Credits: 5.00
Academic Year: 2020/21
Semester: SEM1
Originating Department: Biological Sciences
Pre-requisites: N/A
   
Aims
To provide students wit h theoretical knowledge and lab-based training in genome characterization, transcriptome and proteome analysis, and bio-imaging.
Learning outcomes 
CODE OUTCOME

A Appraise the key techniques and lab skills necessary for conducting a research project associated with post-genomic biology, and effectively interrogate, analyse and evaluate datasets.

B Critically evaluate the approaches used for the large-scale analysis of DNA, RNA, proteins, apply appropriate bio-imaging techniques to study protein localisation and function.

C Synthesise information, critically review evidence to support conclusions, and define complex problems in molecular biosciences, by applying appropriate knowledge and skills.

D Critical appraise of the literature relevant to the appropriate technologies

Method of teaching and learning 
Laboratory practice preceded by an introductory lecture
Syllabus 
1: Genomics (weeks 1-3)

The project is to determine the genome sizes of organisms of interest as the first step of whole genome sequencing. The techniques will cover isolation of nuclei and genomic DNA, propidium iodide staining, FACS analysis, and qPCR.


2: Transcriptomics (weeks 4-6)


The project will typically involve use of an Affymetrix GeneChip Analyser to detect transcripts of differentially expressed genes. The techniques will normally include mRNA isolation, labeling, transcriptomic analysis, and data analysis.



3: Proteomics (weeks 7-9)


The project will typically involve shotgun approaches to identify multiple proteins via mass spectrometry, as well as quantitative proteomic techniques to detect and quantify differentially expressed proteins. The techniques will normally include subcellular fractionation, nano-LC, tandem mass spectrometry, and database searching and analysis.


4: Flow cytometry (weeks 10-12)

The project will generally focus on the detection of surface protein expression of genes of interest on different subsets of lymphocytes isolated from lymph tissues e.g. spleen and/or lymph nodes via immune-fluorescent labeling of proteins, followed by use of flow cytometry analysis. The use of flow cytometry as a high throughput analytical method to quantify labeled cellular components will also be included.


Delivery Hours  
Lectures Seminars Tutorials Lab/Prcaticals Fieldwork / Placement Other(Private study) Total
Hours/Semester 12       72    66  150 

Assessment

Sequence Method % of Final Mark
1 Report1 25.00
2 Report 2 25.00
3 Report 3 25.00
4 Report 4 25.00

Module Catalogue generated from SITS CUT-OFF: 6/6/2020 10:32:57 PM