Raman spectroscopy as a tool for detecting mitochondrial fitness
Document identifier: oai:DiVA.org:ltu-7725
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10.1002/jrs.4930Keyword: Engineering and Technology,
Mechanical Engineering,
Applied Mechanics,
Teknik och teknologier,
Maskinteknik,
Teknisk mekanik,
Experimentell mekanik,
Experimental MechanicsPublication year: 2016Relevant Sustainable Development Goals (SDGs):
The SDG label(s) above have been assigned by OSDG.aiAbstract: Raman spectroscopy allows the molecular chemical analysis of whole living cells by comparing them to known Raman signatures of specific vibrational bonds. In this work we used Raman spectroscopy to differentiate between wild type yeast cells and mutants characterized by increased or reduced mitochondrial fragmentation. To associate mitochondrial fragmentation with biochemical markers, we performed Linear Discriminant Analysis (LDA) of whole cell Raman spectra (~50–100 cells/spectrum). We show that the long-lived, less fragmented mutants fall into a significantly distant cluster from the wild type and short-lived, more fragmented mutants. Clustering depends on respiratory growth and coincides with that of membrane phospholipids and some respiratory chain components. Spectral clustering is supported by enzymatic activity measurements of OXPHOS Complexes. In addition, we find that NAD(P)H autofluorescence also correlates with mitochondrial fragmentation, representing another likely aging biomarker, besides phospholipids and OXPHOS components. In summary, we demonstrate that Raman spectroscopy has the potential to become a powerful tool for differentiating healthy from unhealthy aged tissues, as well as for the prognostic evaluation of mitochondrial function and fitness.
Authors
Nika Erjavec
CBZI, University of Nova Gorica, Vipava
Other publications
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Giulietta Pinato
CBZI, University of Nova Gorica, Vipava
Other publications
>>
Kerstin Ramser
Luleå tekniska universitet; Strömningslära och experimentell mekanik
Other publications
>>
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identifier: oai:DiVA.org:ltu-7725
datestamp: 2021-04-19T12:20:49Z
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recordCreationDate: 2016-09-29
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10.1002/jrs.4930
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titleInfo:
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lang: eng
title: Raman spectroscopy as a tool for detecting mitochondrial fitness
abstract: Raman spectroscopy allows the molecular chemical analysis of whole living cells by comparing them to known Raman signatures of specific vibrational bonds. In this work we used Raman spectroscopy to differentiate between wild type yeast cells and mutants characterized by increased or reduced mitochondrial fragmentation. To associate mitochondrial fragmentation with biochemical markers we performed Linear Discriminant Analysis (LDA) of whole cell Raman spectra (~50–100 cells/spectrum). We show that the long-lived less fragmented mutants fall into a significantly distant cluster from the wild type and short-lived more fragmented mutants. Clustering depends on respiratory growth and coincides with that of membrane phospholipids and some respiratory chain components. Spectral clustering is supported by enzymatic activity measurements of OXPHOS Complexes. In addition we find that NAD(P)H autofluorescence also correlates with mitochondrial fragmentation representing another likely aging biomarker besides phospholipids and OXPHOS components. In summary we demonstrate that Raman spectroscopy has the potential to become a powerful tool for differentiating healthy from unhealthy aged tissues as well as for the prognostic evaluation of mitochondrial function and fitness.
subject:
@attributes:
lang: eng
authority: uka.se
topic:
Engineering and Technology
Mechanical Engineering
Applied Mechanics
@attributes:
lang: swe
authority: uka.se
topic:
Teknik och teknologier
Maskinteknik
Teknisk mekanik
@attributes:
lang: swe
authority: ltu
topic: Experimentell mekanik
genre: Research subject
@attributes:
lang: eng
authority: ltu
topic: Experimental Mechanics
genre: Research subject
language:
languageTerm: eng
genre:
publication/journal-article
ref
note:
Published
3
Validerad; 2016; Nivå 2; 20160419 (andbra)
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Erjavec
Nika
role:
roleTerm: aut
affiliation: CBZI University of Nova Gorica Vipava
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type: personal
namePart:
Pinato
Giulietta
role:
roleTerm: aut
affiliation: CBZI University of Nova Gorica Vipava
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type: personal
authority: ltu
namePart:
Ramser
Kerstin
role:
roleTerm: aut
affiliation:
Luleå tekniska universitet
Strömningslära och experimentell mekanik
nameIdentifier: ramser
originInfo:
dateIssued: 2016
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type: host
titleInfo:
title: Journal of Raman Spectroscopy
identifier:
0377-0486
1097-4555
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type: volume
number: 47
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type: issue
number: 8
extent:
start: 933
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