Award

S8 FACS Discovery

UNIVERSITY OF EDINBURGH

This public procurement record has 1 release in its history.

Award

12 Sep 2024 at 00:00

Summary of the contracting process

The University of Edinburgh has awarded a contract to Becton Dickinson U.K. Limited for the procurement of two S8 FACS devices, intended for use in the University’s College of Medicine and Veterinary Medicine (CMVM) and College of Science and Engineering (CSE). The procurement process was initiated due to a unique technological requirement that could only be fulfilled by Becton Dickinson. This tender falls under the industry category of education and research equipment and was carried out under a limited procurement method, bypassing a competitive call due to the absence of suitable alternatives. The contract, signed on 6th September 2024, is valued at £1,459,645 and will facilitate advanced research capabilities in cellular and molecular studies across multiple university departments located in Edinburgh.

This contract offers significant opportunities for businesses engaged in the provision and maintenance of high-tech research equipment. Specifically, companies specialising in advanced flow cytometry and single-cell analysis equipment would find significant scope for collaboration with the University of Edinburgh. The unique technological capabilities of the Discover S8 instrument will support groundbreaking research in cellular communication, immunity, metabolic processes, and industrial applications of algae, thereby advancing scientific knowledge and potentially spawning further procurement opportunities for innovative technological solutions.

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Notice Title

S8 FACS Discovery

Notice Description

There is a requirement for two S8 FACS for two departments of the university split across tow colleges, CMVM (college of medical and veterinary medicine), marked as requirement 1 and CSE (college of science and engineering), marked as requirement 2. Requirement 1 CMVM. Researchers at the Institute for Regeneration & Repair (IRR) at the University of Edinburgh, the largest global institute dedicated to research in inflammation, regeneration and repair, seek to understand the cellular and molecular basis of human diseases to identify new therapeutic targets. IRR unites three Centres for Inflammation Research, Regenerative Medicine and Reproductive Health. To understand fundamental disease processes, the cellular composition of human tissues needs mapping to determine how different cell types communicate with one another and how this dialogue changes in the context of disease. This endeavour has been progressed by technological advances, including the ability to determine the nature of cells dissociated from solid tissue at a single cell level. These advances, collectively referred to as 'single cell multi-omics' have transformed how cell lineages are defined. No longer can one or two surface proteins define a cell. Instead, multi-parameter, high dimensional analysis must be used to determine cell populations and the different behavioural states that these lineages can adopt in health, disease and tissue regeneration and repair. Requirement 2 CSE. The Discover S8 will be installed in the Institute of Immunology & Infection Research (IIIR), part of the College of Science and Engineering, on the Kings Buildings campus of the University of Edinburgh. It will be available to researchers across the College of Science and throughout UoE, including the College of Medicine and Veterinary Medicine and the Roslin and Moredun Institutes. It will complement existing equipment in IIIR, in CSE and in affiliated Institutes: we have recently installed a Sony ID7000 spectral analyser in IIIR, which allows us to measure 45 fluorescent parameters on individual cells. This new purchase, the Discover S8, enables us to assess those same 45 parameters and then physically separate the cells based on their measurements, facilitating exciting downstream applications such as transcriptional, proteomic and functional analysis. The imaging capability of the Discover S8 fits well with the imaging expertise in the CSE, especially that within the Discovery Research Platform for Hidden Cell Biology, with research questions, analysis techniques and training plans spanning both platforms.

Lot Information

Lot 1

There is a requirement for two S8 FACS for two departments of the university split across tow colleges, CMVM (college of medical and veterinary medicine), marked as requirement 1 and CSE (college of science and engineering), marked as requirement 2. Requirement 1 CMVM. Researchers at the Institute for Regeneration & Repair (IRR) at the University of Edinburgh, the largest global institute dedicated to research in inflammation, regeneration and repair, seek to understand the cellular and molecular basis of human diseases to identify new therapeutic targets. IRR unites three Centres for Inflammation Research, Regenerative Medicine and Reproductive Health. To understand fundamental disease processes, the cellular composition of human tissues needs mapping to determine how different cell types communicate with one another and how this dialogue changes in the context of disease. This endeavour has been progressed by technological advances, including the ability to determine the nature of cells dissociated from solid tissue at a single cell level. These advances, collectively referred to as 'single cell multi-omics' have transformed how cell lineages are defined. No longer can one or two surface proteins define a cell. Instead, multi-parameter, high dimensional analysis must be used to determine cell populations and the different behavioural states that these lineages can adopt in health, disease and tissue regeneration and repair. Requirement 2 CSE. The Discover S8 will be installed in the Institute of Immunology & Infection Research (IIIR), part of the College of Science and Engineering, on the Kings Buildings campus of the University of Edinburgh. It will be available to researchers across the College of Science and throughout UoE, including the College of Medicine and Veterinary Medicine and the Roslin and Moredun Institutes. It will complement existing equipment in IIIR, in CSE and in affiliated Institutes: we have recently installed a Sony ID7000 spectral analyser in IIIR, which allows us to measure 45 fluorescent parameters on individual cells. This new purchase, the Discover S8, enables us to assess those same 45 parameters and then physically separate the cells based on their measurements, facilitating exciting downstream applications such as transcriptional, proteomic and functional analysis. The imaging capability of the Discover S8 fits well with the imaging expertise in the CSE, especially that within the Discovery Research Platform for Hidden Cell Biology, with research questions, analysis techniques and training plans spanning both platforms.

Procurement Information

The University of Edinburgh intends to award a contract to Becton Dickinson UK for the provision of a Discover S8. This equipment adds unique sorting and imaging capability, enabling cells not only to be measured but to be separated according to their measurements, and including shape and complexity as some of the measurements possible. These features will facilitate several exciting lines of research, including understanding how cells divide, how immune cells protect from infection, how metabolic enzymes control cell function, how algae function and can be used in industrial processes. No other singular piece of equipment within the market is available to provide the outputs required for the research outcomes explained.

Publication & Lifecycle

Open Contracting ID
ocds-r6ebe6-0000777856
Publication Source
Public Contracts Scotland
Latest Notice
https://www.publiccontractsscotland.gov.uk/search/show/search_view.aspx?ID=SEP514112
Current Stage
Award
All Stages
Award

Procurement Classification

Notice Type
OJEU - F3 - Contract Award Notice
Procurement Type
Standard
Procurement Category
Goods
Procurement Method
Limited
Procurement Method Details
Award procedure without prior publication of a call for competition
Tender Suitability
Not specified
Awardee Scale
Large

Common Procurement Vocabulary (CPV)

CPV Divisions

33 - Medical equipments, pharmaceuticals and personal care products

38 - Laboratory, optical and precision equipments (excl. glasses)


CPV Codes

33113000 - Magnetic resonance imaging equipment

38511000 - Electron microscopes

Notice Value(s)

Tender Value
Not specified
Lots Value
Not specified
Awards Value
Not specified
Contracts Value
£1,459,645 £1M-£10M

Notice Dates

Publication Date
12 Sep 20241 years ago
Submission Deadline
Not specified
Future Notice Date
Not specified
Award Date
6 Sep 20241 years ago
Contract Period
Not specified - Not specified
Recurrence
Not specified

Notice Status

Tender Status
Complete
Lots Status
Complete
Awards Status
Not Specified
Contracts Status
Active

Contracting Authority (Buyer)

Main Buyer
UNIVERSITY OF EDINBURGH
Contact Name
Not specified
Contact Email
maria.dick@ed.ac.uk
Contact Phone
Not specified

Buyer Location

Locality
EDINBURGH
Postcode
EH1 1HT
Post Town
Edinburgh
Country
Scotland

Major Region (ITL 1)
TLM Scotland
Basic Region (ITL 2)
TLM1 East Central Scotland
Small Region (ITL 3)
TLM13 City of Edinburgh
Delivery Location
TLM75 City of Edinburgh

Local Authority
City of Edinburgh
Electoral Ward
City Centre
Westminster Constituency
Edinburgh East and Musselburgh

Supplier Information

Number of Suppliers
1
Supplier Name

BECTON DICKINSON

Further Information

Notice Documents

  • https://www.publiccontractsscotland.gov.uk/search/show/search_view.aspx?ID=SEP514112
    S8 FACS Discovery - There is a requirement for two S8 FACS for two departments of the university split across tow colleges, CMVM (college of medical and veterinary medicine), marked as requirement 1 and CSE (college of science and engineering), marked as requirement 2. Requirement 1 CMVM. Researchers at the Institute for Regeneration & Repair (IRR) at the University of Edinburgh, the largest global institute dedicated to research in inflammation, regeneration and repair, seek to understand the cellular and molecular basis of human diseases to identify new therapeutic targets. IRR unites three Centres for Inflammation Research, Regenerative Medicine and Reproductive Health. To understand fundamental disease processes, the cellular composition of human tissues needs mapping to determine how different cell types communicate with one another and how this dialogue changes in the context of disease. This endeavour has been progressed by technological advances, including the ability to determine the nature of cells dissociated from solid tissue at a single cell level. These advances, collectively referred to as 'single cell multi-omics' have transformed how cell lineages are defined. No longer can one or two surface proteins define a cell. Instead, multi-parameter, high dimensional analysis must be used to determine cell populations and the different behavioural states that these lineages can adopt in health, disease and tissue regeneration and repair. Requirement 2 CSE. The Discover S8 will be installed in the Institute of Immunology & Infection Research (IIIR), part of the College of Science and Engineering, on the Kings Buildings campus of the University of Edinburgh. It will be available to researchers across the College of Science and throughout UoE, including the College of Medicine and Veterinary Medicine and the Roslin and Moredun Institutes. It will complement existing equipment in IIIR, in CSE and in affiliated Institutes: we have recently installed a Sony ID7000 spectral analyser in IIIR, which allows us to measure 45 fluorescent parameters on individual cells. This new purchase, the Discover S8, enables us to assess those same 45 parameters and then physically separate the cells based on their measurements, facilitating exciting downstream applications such as transcriptional, proteomic and functional analysis. The imaging capability of the Discover S8 fits well with the imaging expertise in the CSE, especially that within the Discovery Research Platform for Hidden Cell Biology, with research questions, analysis techniques and training plans spanning both platforms.

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