Completed Cells, Biochemistry & Physiology Heart, Stroke & Blood

Stem cell fractionation using interactions with artificial matrices

In plain English

AI plain-English summary

Stem cells will be poured through a stack of smart filters that sort millions of cells at once by recognising their shape, size, and chemical signature, without needing any labels or expensive machinery. This matters because stem cells are scarce and difficult to purify. Current methods label cells with markers and sort them one by one using costly instruments, yielding too few usable cells for widespread therapy. The project replaces that bottleneck with a high-throughput system of artificial filters—designed using microfluidics, nanotechnology, and cell biochemistry—that separate valuable stem cells from differentiated ones in bulk. If successful, the approach could make stem cell therapies far cheaper and more accessible. Instead of being limited to a few patients, treatments for growing replacement tissue or bone could become routine. The same filters might also speed up drug discovery by providing clean cell populations for screening. The impact is on medical manufacturing and supply chains: a faster, reagent-free purification step that could scale from lab to clinic.

View original technical description
There has been a recent explosion in interest in and potential applications of stem cells. Their potential for therapeutic medical applications is particularly exciting, with the real prospect of growing replacement tissue and bone to overcome a wide variety of disease conditions. Stem cells also have an important role in diagnostics, and have already shown promise in drug discovery research. To date, the key limitation to the exploitation of stem cells has been their scarcity. Furthermore, even when it is possible to source stem cells, there is still the formidable task of purification and sorting of the usable cells from cells that have differentiated into unusable types. Presently, stem cells are labelled with markers and then sorted one-by-one using very expensive instruments. Despite the very high speed of modern cell sorters the relatively small numbers obtained and the addition of labelling reagents mean that these methods are not suitable for widespread application of stem cell therapy. Stem cells have yet to find global application, because of their rarity. This project proposes to change the current stem cell sorting methods from low throughput one-by-one techniques to very high throughput alternatives that will be capable of sorting millions of cells simultaneously. The key to this will be the design of a series of filters that behave as smart sieves. The stem cells will be poured through new filters that will recognise the cells by their shape, size, flexibility and their chemical signature, without the addition of any extra reagents. A set of filters will be assembled; one on top of the other, to allow rapid screening of a mixture that contains both the valuable wanted stem cells, alongside less useful cells. This research programme will focus on the design of these filter stages, and use cutting edge science and technology to generate a completely new approach to stem cell purification. Specialist techniques such as microfluidics, nanotechnology, rapid microstructure prototyping will be combined with the latest ideas in cell biochemistry and cell biorecognition to fulfil the primary objective of making it easier, cheaper and faster to harvest useful stem cells. The benefit to society will be huge, making the possibility of stem cell therapy a reality for everyone.

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Researchers

Anthony Day (Co-Investigator)Cathy Merry (Co-Investigator)Cay Kielty (Co-Investigator)Christopher Ward (Co-Investigator)Nick Goddard (Principal Investigator)Peter Fielden (Co-Investigator)SJ Eichhorn (Co-Investigator)

Related Research

Grants with similar aims, by meaning.

A novel characterisation and separation technique for pluripotent human embryonic and hematopoeitic stem cells
Smart Separations - Tailor-made Filters
Development of nanopatterned substrates for the delivery of high quality stem cells
Developing generic scalable and standardised selection methods for human therapeutic cells
Scale up of optical fractionation for bio-processing

Original classification

Research Grant

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