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06 May 2025 | Story Andre Damons | Photo Supplied
Prof Nyaga
Prof Martin Nyaga at the UFS-NGS Unit sequencing room giving a talk on the Illumina NextSeq 2000 with the P3 flow cell in hand.

The University of the Free State – Next Generation Sequencing (UFS-NGS) Unit hosted a pioneering scholarly engagement initiative for Grade 11 learners from nine secondary schools in Bloemfontein. The three-day event with the theme "Frontiers of Discovery: Illuminating the Impact of Genomics in Science outreach programme” marked the first comprehensive genomics science outreach initiative in the Faculty Health Sciences.

Coordinated by Prof Martin Nyaga, Head of the UFS-NGS Unit, the programme bridged the longstanding gap through practical NGS exposure and ignited a passion for Science, Technology, Engineering, and Mathematics (STEM) by inspiring the next generation of genomic innovators using combined interactive lectures, laboratory demonstrations, career talks, and hands-on workshops. This allowed learners to directly engage with cutting-edge scientific techniques and genomic technologies, especially the scientific and evolutionally impact of Polymerase Chain Reaction (PCR) and NGS.

The initiative engaged selected Grade 11 learners from the nine schools: Brebner, Ikaelelo and Vulamasango (day 1), Atlehang, Castle Bridge School and Kaelang (day 2) and Eunice, Navalsig, and Lekhulong (day 3).

“This outreach programme marks a significant milestone in community-based genomics education in South Africa by offering high school learners the opportunity to engage with modern genomic sciences before making career decisions. The initiative particularly aimed to nurture future scientists and diversify the country’s STEM talent pipeline.

“This historic programme bridged gaps in scientific literacy and diversity in the Free State and concluded each day with a genomics quiz competition, which tested the participant’s newly acquired knowledge/exposure and provided a fun competitive learning opportunity. Six quiz winners across the three days received special prizes, and all students were awarded certificates of participation,” says Prof Nyaga.

 

Hands-on exploration and NHLS virology laboratory tour

The training was held at the UFS-NGS Unit in the School of Biomedical Sciences and at the NHLS Virology laboratories, School of Pathology, Faculty of Health Sciences. Each attending secondary school was represented by five Grade 11 learners and a life science’s educator. Each day, 15 learners and three educators observed hands-on practicals, including DNA extraction, PCR, gel electrophoresis, and DNA library preparation for sequencing on platforms such as Illumina MiSeq and NextSeq 2000.

Guided by the UFS-NGS Unit’s team members; Dr Milton Mogotsi, Hlengiwe Sondlane, Mbali Ncube, Nkosazana Shange, Somila Nazo, Sesiyanda Maseko, Surprise Baloyi, Manyi Eyong and Mamello Maku, the learners were exposed to how DNA is extracted and visualised, how the PCR machine works and how DNA libraries are prepared and sequenced.

Furthermore, a guided laboratory tour of the Virology laboratories at the NHLS was provided by Khauhelo Mafa which offered the leaners the opportunity to observe, diagnostic and molecular workflows in action, resulting in a real-time glimpse into world-class medical research and diagnostics, fuelling curiosity about the role of advanced genomics science in disease control.

 

Inspiration through expert talks

The learners were also inspired by talks from Prof Chris Viljoen, Head of the School of Biomedical Sciences, Prof Zinhle Makatini, Associate Professor and Head of Division of Virology, School of Pathology, and Dr Claudia Ntsapi, Senior Lecturer and researcher in the Department of Basic Medical Sciences at the UFS. Prof Viljoen highlighted the role of science in transforming lives and improving life expectancy, while Prof Makatini gave candid reflections on her professional journey, particularly how she pursued Medical Virology through unwavering determination and excelled to become among the pioneer women specialists in the field in South Africa. Dr Ntsapi inspired the audience with her perseverance from her humble beginnings to earning a PhD in Neurophysiological Sciences against all odds.

The speakers also delivered compelling presentations on the applications of genomics in medicine (e.g.), personalised cancer treatments), public health (e.g.), tracking HIV and COVID-19), agriculture (e.g.), resilient crops), and environmental science (e.g.), ecosystem protection), which resonated well with the learners, educators and the UFS-NGS team. A presentation on diverse career options available at the UFS Faculty of Health Sciences was further provided by Angelique Carson-Porter, a UFS representative from the Department of Nutrition & Dietetics. Her talk on different career pathways in Health Sciences broaden the learners’ horizons, fostering future aspirations.

Dr Emmanuel Ogunbayo, Dr Mogotsi, Thabisa Mpaxa, Nkosazana Shange and Eyong Manyi shared their personal career journey to be at the UFS-NGS Unit, offering advice on academic experiences and opportunities within genomics, bioinformatics, and biotechnology, while answering scholarship queries.

“The career talk opened my eyes. I’m now aiming for a biotechnology degree!” said Neliswa Thwala, a learner from Navalsig CS/S.

Following the enthusiastic response and tangible outcomes of this programme, the UFS-NGS Unit is committed to expanding this initiative, with plans to introduce similar events to other schools and developing sustained mentorship opportunities for learners interested in pursuing genomics-related careers. The UFS-NGS Unit further invites interested partners, sponsors, and stakeholders to collaborate in future outreach and capacity-building programmes to continue bridging the genomics education gap in Africa.

 

Inspire the next generation

Prof. Nyaga’s closing remarks highlighted the learners’ potential to shape the ‘omics’ workforce and stated the intention of the organising committee to expand the mentorship programmes, fostering a vibrant STEM pipeline. “This initiative represents our vision to make genomics accessible and inspire the next generation of African scientists.”

The success of this programme was driven by the UFS-NGS Unit team and was supported by Distribution Platform in Omics (DIPLOMICS).

  • For more information about the UFS-NGS Unit or future outreach programmes, please visit our website. Further pictures from the event are also available via our website.

News Archive

Mathematical methods used to detect and classify breast cancer masses
2016-08-10

Description: Breast lesions Tags: Breast lesions

Examples of Acho’s breast mass
segmentation identification

Breast cancer is the leading cause of female mortality in developing countries. According to the World Health Organization (WHO), the low survival rates in developing countries are mainly due to the lack of early detection and adequate diagnosis programs.

Seeing the picture more clearly

Susan Acho from the University of the Free State’s Department of Medical Physics, breast cancer research focuses on using mathematical methods to delineate and classify breast masses. Advancements in medical research have led to remarkable progress in breast cancer detection, however, according to Acho, the methods of diagnosis currently available commercially, lack a detailed finesse in accurately identifying the boundaries of breast mass lesions.

Inspiration drawn from pioneer

Drawing inspiration from the Mammography Computer Aided Diagnosis Development and Implementation (CAADI) project, which was the brainchild Prof William Rae, Head of the department of Medical Physics, Acho’s MMedSc thesis titled ‘Segmentation and Quantitative Characterisation of Breast Masses Imaged using Digital Mammography’ investigates classical segmentation algorithms, texture features and classification of breast masses in mammography. It is a rare research topic in South Africa.

 Characterisation of breast masses, involves delineating and analysing the breast mass region on a mammogram in order to determine its shape, margin and texture composition. Computer-aided diagnosis (CAD) program detects the outline of the mass lesion, and uses this information together with its texture features to determine the clinical traits of the mass. CAD programs mark suspicious areas for second look or areas on a mammogram that the radiologist might have overlooked. It can act as an independent double reader of a mammogram in institutions where there is a shortage of trained mammogram readers. 

Light at the end of the tunnel

Breast cancer is one of the most common malignancies among females in South Africa. “The challenge is being able to apply these mathematical methods in the medical field to help find solutions to specific medical problems, and that’s what I hope my research will do,” she says.

By using mathematics, physics and digital imaging to understand breast masses on mammograms, her research bridges the gap between these fields to provide algorithms which are applicable in medical image interpretation.

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