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Annual Scientific Report 2015

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The EMBL International<br />

PhD Programme at EMBL-EBI<br />

Students mentored in the EMBL International PhD Programme receive<br />

advanced, interdisciplinary training in molecular biology and bioinformatics.<br />

Theoretical and practical training underpin an independent, focused research<br />

project under the supervision of an EMBL-EBI faculty member and monitored by<br />

a Thesis Advisory Committee comprised of EMBL-EBI faculty, local academics<br />

and, where appropriate, industry partners.<br />

EMBL-EBI is a University Partner Institute of the<br />

University of Cambridge, and in <strong>2015</strong> we benefited<br />

from the presence of 30 PhD students, welcoming five<br />

newcomers. Three students successfully defended their<br />

theses and were awarded PhDs, and one submitted his<br />

thesis. These are showcased below.<br />

Programme events in <strong>2015</strong> at<br />

EMBL-EBI, through the<br />

Training Programme:<br />

• PhD Student Seminar Day at EMBL-EBI;<br />

• Bioinformatics course for second-year EMBL<br />

PhD Programme students, organised and run<br />

by EMBL-EBI students through the Training<br />

Programme;<br />

• EMBL-EBI–Sanger–Cambridge PhD Symposium<br />

(eSCAMPS)<br />

• EMBL PhD Symposium at EMBL Heidelberg;<br />

• Basic Teaching Module at EMBL Heidelberg;<br />

• PhD student-led Lunchtime Seminar series;<br />

• Statistics training course, jointly held with the<br />

Wellcome Trust Sanger Institute at EMBL-EBI.<br />

Selected theses<br />

Ewan Johnstone<br />

An evaluation of cancer subtypes and<br />

glioma stem cell characterisation<br />

Supervisor: Paul Bertone<br />

Ewan applied a novel<br />

co-expression analysis method to<br />

identify independent tumour cell<br />

subtypes within independent co-expression modules.<br />

These modules relate to intuitive biological features,<br />

enabling the user to identify module-specific variation<br />

independently of a transcriptome-wide subtype.<br />

Ewan used this methodology to evaluate established<br />

subtypes in breast ductal carcinoma and glioma. In<br />

breast carcinoma the basal, luminal, Her2-enriched<br />

and claudin-low cancer subtypes were replicated,<br />

revealing functional expression differences that denote<br />

each type. In glioma, dominant expression variation<br />

presented a grade-associated axis of proneural to<br />

mesenchymal expression. This axis was also presented<br />

within individual tumours, suggesting that one should<br />

not assume individual tumours are classified as discrete<br />

subtypes. Ewan’s analysis of glioma-derived stem cell<br />

lines revealed distinct proneural and mesenchymal<br />

clusters in both gene expression and chromatin<br />

accessibility. Proneural signature genes suggested these<br />

lines are similar to normal glial progenitor cells, while<br />

mesenchymal expression largely relates in inflammatory<br />

and immune responses. Ewan was able to analyse<br />

epigenetic control of subtype–signature transcriptional<br />

networks thanks to differential chromatin accessibility<br />

of signatures genes. He also compared glioma-derived<br />

stem cells and neural stem cells to identify gliomaspecific<br />

features. His thsis describes novel methods<br />

for ATAC-seq analysis are also described for the<br />

examination of chromatin accessibility. These findings<br />

will further assist the translation of tumour subtypes<br />

to the clinic alongside deeper characterisation glioma’s<br />

persistent and heterogeneous cancer stem<br />

cell population.<br />

127<br />

<strong>2015</strong> EMBL-EBI <strong>Annual</strong> <strong>Scientific</strong> <strong>Report</strong>

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