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ELLS

European Learning Laboratory for the Life Sciences

Our inspiring educational experiences share the scientific discoveries of EMBL with young learners aged 10-19 years and teachers in Europe and beyond.

Life in Numbers (LiNes)

We will soon be launching “Life in Numbers” (LiNes), a unique bioinformatics resource, where students will get a theoretical as well as practical introduction to the field of bioinformatics. The young learners will also get the opportunity to engage with EMBL scientists and bioinformaticians and investigate authentic research questions. The course is structured to be modular, temporally and didactically flexible and can also be run virtually.

This project is a collaboration between EMBL’s European Learning Laboratory for the Life Sciences, Public Engagement at EMBL-EBI and Wimbledon High School, London, United Kingdom.

Background

In spring/summer of 2020, EMBL, together with Dr. Clare Roper, the Director of Science, Technology and Engineering at Wimbledon High School (WHS) in London, organized a pilot bioinformatics course for secondary school students-Life in Numbers (LiNes).

Seven students from grade 11 of WHS, guided by EMBL scientists, bioinformaticians and their teacher Dr. Clare Roper got an in depth look into the field of bioinformatics, the data available and the various tools used to study and interpret biological data. The students, with the help of EMBL scientists also formulated authentic research questions and undertook real research projects. One student studied the differences in proteins involved in immune function in red and grey squirrel populations, another student chose to study data generated as a result of the on-going pandemic as she investigated which mammalian species lack binding sites for the coronavirus (SARS-CoV-2) spike protein.

Dr. Clare Roper, who was the driving force behind this resource, shared with us, through the featured article below, how she was inspired to provide her students with this valuable opportunity.

Life in Numbers

Life in Numbers

By Dr. Clare Roper ­(Director of Science, Technology and Engineering at WHS, London)

For some time, I had been looking for ways to provide my senior secondary school students (ages 15 upward) with exciting opportunities to pursue their interests in science beyond the classroom. Extra-curricular clubs for the primary school and younger secondary school science are thriving with many programmes and activities available to enthuse younger students in STEM subjects with small-scale investigations, fun practicals, and competitions. However, there are fewer programmes available to entice older students and sustain their interest in science.

The expansion of publicly available big data has meant that there is far more data available to be analysed than there are scientists with time to interrogate it. This also means that student investigations are no longer limited by the resources, equipment and technical expertise available in school. The vast, and expanding sets of DNA, RNA and protein data on a huge variety of living organisms has opened up the opportunity for school students who have a basic understanding of inheritance and protein synthesis to work alongside bioinformaticians. Students can pose their own original research questions and experience the excitement of true scientific discovery as opposed to learning science with established protocols where the results are known. The students are motivated as there is the genuine purpose of contributing to the body of scientific knowledge and understanding. This has generated a real quest to discover something new with the added bonus that their research also deepens their own understanding of topics that are already on the syllabus.

At a recent conference, I was struck by the fact that many university research groups have expanded their vision from single lab experiments to large broad collaborations where research questions are based on datasets which already exist. The scientific method has seemingly evolved from the more traditional route of designing data collection methodology after posing the research question. This type of ‘dry lab’ data mining research has proved particularly popular with my students during lockdown, where they have realised that they can pursue their interests and do ‘real’ science from home on their own computer without any complex equipment or software. It has given them a taste of post-graduate research in today’s world.

I have been delighted that the opportunities that they have had to collaborate with scientists and conduct their own research projects and follow them all the way through to producing a mini paper or poster, has piqued their interest in pursuing careers in science.

Course structure

  1. Introduction to topic: theory supplemented with activities.
  2. Identify a research question and formulate a hypothesis.
  3. Conduct a research project on a real-world topic.
  4. Interpret, discuss and communicate the results of the project.

Learning goals

  1. Understand the scope of the bioinformatics in life sciences.
  2. Learn core terms and concepts about bioinformatics.
  3. Learn how to access and interpret bioinformatics data and process it using available online tools (to solve real world problems).
  4. Apply interdisciplinary thinking – connect core practices, ideas and theories from biology and informatics.

Pilot course

The students of Wimbledon High School who participated in the pilot of LiNes and conducted research projects are featured with their projects below. Watch the project video in which the students shared their thoughts and experiences.

Participants

Beatrice Frediani

Project: A comparison of MHC proteins between red squirrels and grey squirrel

Ellen Weir

Project: Evolutionary relationship between the spike glycoprotein on SARS-CoV-2 and other related beta coronaviruses

Isabel Nunn

Project: Investigate similarities and differences in spike proteins of different coronaviruses

Kate McKeough

Project: Comparing SNPs in genomes of the red and grey squirrels specifically SNPs

Poppy Swanton

Project: Investigating the role of the ACE-2 receptor and its role in SARS-CoV

Rhea Sheth

Project: The Role of Replicase Polyprotein 1ab in SARS-CoV-2 and the analysis of its cleavage sites

Sophie Corben

Project: Use variant data to infer the history of human health and migration

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