My student page
|This year's main topic is Blood Cell Biology. Each group should discuss with group members the specific sub-topic that will be covered by their project.
Here is a list of some of the cell types (Structure and Function)
Cell Type (PuMed citations)
|Group Assessment Criteria|
Group Assessment Criteria
|Individual Lab Assessments|
Lab 1 assessment
<pubmed>26756351</pubmed> eukaryotic cytoskeleton
How to make an in-text citation
Bacterial division protein Ftz. 
In this lab, I learnt how to create and edit a wiki page. I learnt how to format a page and log my attendance for each lab. I also learnt how to create headings and different types of subheadings and the coding involved in achieving that, as well as how to put in text under these particular headings. Two equal signs are used for headers, i.e. ==Title== and subsequent subheadings are created by adding an extra equal sign, e.g. ===subheading===. This lab also enabled me to learn how to search for scientific articles on various research databases such as PubMed and BioMed central, and use filters on these websites in order to find articles of interest. Furthermore, I learn the importance of copyright declarations on these articles, and which papers can and cannot be used in assignments. These databases were then used to be linked into the wiki, and I learnt the ways in which specific articles could be formatted to be linked into the wiki page. Coding was also used such as using [url] to link specific searches on the database, and the coding of <article database> article number </article database> was used to link to the specific article of choice, as well as provide additional information regarding the authors and publication date of the articles. In addition, coding was learnt to link specific pages within the wiki by using two square brackets, title of page, and for pages outside of this particular wiki, the coding of [URL] would be used. In order to give the link a title, the coding of [URL/ title] is used.
Energetics and genetics across the prokaryote-eukaryote divide.
Lab 2 assessment: Summary of Article
Platelet functions are dependent upon the release of bioactive molecules from their granules, traditionally studied and classified in groups through electron microscopy techniques. These granules are essential for secondary haemostasis, and any deficiencies in number, shape or content leads to bleeding. In genetic disorders such as Hermansky-Pudlak syndrome (HPS), the absence of dense granules immensely slows down the rate of hemostasis at the site of injury. In normal circumstances, dense granules have been identified through EM through the presence of an electron-dense core. However, these EM methods are time consuming and lead differences in identification of the granules depending on different analysis types. As a result, the recent developments in super resolution microscopy (SRM) allow for structures to be resolved in the 10-200nm range, leading to individual platelet granules easily being resolved. SRM methods couples with current automated image analysis methods allow for quantitative data of platelet granules to be obtained.
In order to effectively study the abilities of SRM, one such method- structured illumination microscopy (SIM)- was utilized in this study to distinguish between a group of healthy control patients and three patients with platelet storage disorders, in particular HPS. Of interest was the CD63 marker, as it is present in dense granules and has an altered distribution in HPS patients. The SRM techniques were used to reconstruct images from a sequence of raw images of the sample. In this study, SIM methods proved to be efficient, compatible with the routinely used fluorescent labels and achieved fast image-acquisition rates. The number of CD63-positive markers per platelet was determined through staining techniques, and this method enabled a more sensitive analysis of granules per platelet through SIM due to its improved resolution and removal of out of focus backgrounds. Samples of platelets were taken from healthy controls as well as HPS patients and SIM was used to differentiate between the two groups. Through this it was found that the mean number of dense granules in the controls (3.5) was far higher than that of the patients (0.07). Blood samples were consequently tested using SRM, counting the number of CD63-positive structures through SIM, and once again it was found that the number of CD63-positive structures per platelet was higher in the controls than in the patients. Thus, these results indicate that SIM is a rapid and successful method of identifying those with platelet bleeding disorders, and SRM can act as an effective determinant of a dense-granule disorder. 
- <pubmed> 26806224 </pubmed>