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Bioinformatics-based projects completed by UCL undergraduate and graduate students have provided over 2300 Gene Ontology annotations to 300 proteins through the curation of 223 papers
The Functional Gene Annotation Team offer bioinformatics-based projects that provide the student with experience in the following;
- searching for information in online bioinformatics databases
- interpreting published scientific experiments
- biocuration of scientific literature
- in-depth application of the Gene Ontology to describe the functional roles of gene products
- use of online comparative genomics tools
- use of functional analysis tools
During the course of their projects, the students also contribute valuable GO annotations.
The majority of these projects have been undertaken by students attending the the UCL Genetics Institute's MSc in Genetics of Human Disease. These students are required to complete a project consisting of an original piece of research. However, annotation projects have also been undertaken by PhD students and iBSc students.
Past and Current projects
| Year | Title | Project mark | Student |
|---|---|---|---|
| 2022 | Describing the role of non-coding RNAs in Alzheimer's disease using Gene Ontology | MSc | Qianhan Xu |
| 2022 | A bioinformatics analysis of microRNA regulation of lipid metabolism | BSc | Siyao Huang |
| 2022 | Describing the microRNAs that regulate SOCS1 using the Gene Ontology | MSc (RVC) | Aleksandra Michalak |
| 2021 | Using the Gene Ontology to describing the role of microRNAs in a regulating a PPARG pathway | MSc Distinction | Armalya Pritazahra |
| 2021 | Using Gene Ontology to describe microRNAs with a role in glioblastoma | PGDip | Meltem Erdol |
| 2021 | Using the Gene Ontology to describe disregulated mouse microRNAs | BSc (RVC) | Mohamed Ali Kadhum |
| 2021 | Annotation of PPARG associated pathways | PhD | Renzhi Su |
| 2021 | Annotation of T2D risk loci associated proteins with no experimentally supported biological process annotations | PhD 3-month rotation | Yue Jiang |
| 2020 | Describing the role of microRNAs in regulating the expression of the 'bad' amyloid-beta receptors using a bioinformatics approach | MSc Distinction | Diana Luna Buitrago |
| 2020 | Describing the role of microRNAs in regulating tau-associated processes using a bioinformatics approach | MSc Merit | Miao Long |
| 2020 | A bioinformatic approach to describing the role of microRNAs in atrial fibrillation | iBSc Merit | Praoparn Asanitthong |
| 2020 | A bioinformatic approach to describing the role of microRNAs in foam cell formation | iBSc Distinction | Angeline Pesala |
| 2020 | Describing the cardiac conduction system development using Gene Ontology | PhD 3-month rotation | Kan Yan Chloe Li |
| 2019 | Describing the role of PI3K isoforms in cell migration and adhesion in angiogenesis using bioinformatic resources | MSc Distinction | Heather Gunn |
| 2019 | Describing the role of microRNAs in pulmonary arterial hypertension using bioinformatic resources | MSc Distinction | Renzhi Su |
| 2019 | Using a bioinformatics approach to investigate the role of miRNAs in the regulation of key proteins involved in Alzheimer's disease | MSc Merit | Sandra Pinheiro |
| 2019 | Describing the role of microRNAs in regulating the blood brain barrier using a bioinformatic approach | MSc Distinction | Katherine Thurlow |
| 2019 | Describing the role of microRNAs in angiogenesis using a bioinformatic approach | iBSc Distinction | Marios Makris |
| 2018 | Describing the role of microRNAs in Alzheimer’s disease using a bioinformatic approach | MSc Distinction | Shirin Saverimuttu |
| 2018 | Genetic pathways involved in aortic valve development | PhD | Saddullah Ahmed |
| 2017 | Cell Migration and Adhesion as a Mechanism of Resistance to Tyrosine Kinase Inhibitor Nilotinib in Glioblastoma | MSc Merit | Jack Rawson |
| 2017 | Functional annotation of microRNAs targeting the key genes implicated in Familial Hypercholesterolemia | MSc Distinction | Hao Chen |
| 2016 | Describing the role of microRNAs in early heart development, with a focus on microRNA-1, using a bioinformatic approach | MSc Distinction | Vanessa Acquaah |
| 2015 | Describing the role of the TGF beta superfamily signalling pathway in embryonic cardiac valvular development using Gene Ontology annotations | MSc Distinction | Alex Deng |
| 2015 | Discovering the role of the miR-29 family in aortic aneurysm using Gene Ontology | MSc Distinction | Zara Umrao |
| 2015 | Functional annotation of proteins involved in lipid transport and metabolism | MSc Merit | Fiona Ratnaraj |
| 2014 | Functional annotation of folate-related genes using the Gene Ontology in relation to pregnancy and fetal development | MSc Distinction | Hadil Alrohaif |
| 2014 | Bioinformatics annotation of the proteins involved in Hemochromatosis | MSc Distinction | Klaus Mitchell |
| 2011 | Describing the role of the Notch signaling pathway in cardiac development using a bioinformatic approach | MSc Merit | Greg Rowe |
| 2010 | Comprehensive Gene Ontology annotations on synaptogenesis and behavioural response associated with autistic spectrum disorder | MSc Distinction | Sejal Patel |