Robotic workstation to enable multiplexing for single-cell proteomics
Robotic workstation to enable multiplexing for single-cell proteomics
批准号:
BB/X019160/1
负责人:
Alex Von Kriegsheim
金额:
$37.54万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2023
资助国家:
英国
项目状态:
未结题
起止时间:
2023 至 --
中文摘要
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英文摘要
Over the past ten years, single-cell (SC) studies have revolutionised our insight into how cellular heterogeneity regulates development, homeostasis and disease. Nucleotide-sequencing SC methods have been at the vanguard of the field, but over the past few years, SC mass spectrometry-based methods have been developed that can quantify protein expression levels for over a thousand proteoforms across hundreds of cells. This allows for the first time to generate biologically meaningful, unbiased insight into the proteome at the SC level. Despite these developments, the field of SC proteomics is still in its infancy and several hurdles must be overcome to make it broadly applicable. SC proteomics methods have become more robust, but throughput is still very limited. Label-free methods using ultra-sensitive mass spectrometers and nano-liquid chromatography (nLC) are currently able to analyse 40 cells per day. Analogous to what has been developed for SC sequencing methods, multiplexing is one way to increase the number of cells that can be analysed in a given time frame. Isotopic labelling is a well-established method to increase throughput by multiplexing used in mass spectrometry-based proteomics. Commonly, the amine groups are labelled with reactive, isotopically distinguishable chemicals, including formaldehyde, mass-differential Tags for Relative and Absolute Quantitation (mTRAQ) or Tandem Mass Tags (TMT). Recently multiplexing using mTRAQ was demonstrated to increase SC-proteomics throughput 3-fold via multiplexed Data Independent Acquisition (plexDIA). One of the challenges is that labelling of low, sub-nanogram amounts of peptides typically requires the reactions to take place in low nanolitre volumes, which can be difficult to achieve without specialist equipment. We were recently awarded an MRC equipment grant to purchase a timsTOF Single-cell-proteomics (SCP) coupled to an Evosep nLC system. Here we propose to purchase a robotic workstation to isolate, process and label SC for proteomic analysis in nanolitre reaction volumes. The instrument will permit us to efficiently label SC for proteomic analysis enabling multiplexing and enhancing capacity by at least three-fold. The increased throughput will be used to process additional samples, including those from BBSRC-funded researchers, some of whom have proposed projects on how to apply SC proteomics to their work. In addition to increasing throughput, SC sample preparation on the CellenONE benefits from workflows that increase robustness and sensitivity. This is one of the key reasons why the CellenONE instrument has rapidly become the standard for SC proteomics sample preparation. The system will be initially used by a consortium of investigators from across Edinburgh to investigate cellular heterogeneity in plants, animals, parasites and humans. The work we are doing will shed light on how protein dynamics are regulated during ageing, injury, and other cellular stress and disease contexts. Importantly, we wish to interrogate how changes at the cellular level shape the response of the tissue or organism to environmental challenges.
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Ultra-sensitive Mass spectrometry for Precision Medicine
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批准号:MR/X01293X/1
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项目类别:Research Grant
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资助金额:$101.93万
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财政年份:2022
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负责人:Alex Von Kriegsheim
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依托单位:
海外基金