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  1. Article ; Online: Correction: Cumulant mapping as the basis of multi-dimensional spectrometry.

    Frasinski, Leszek J

    Physical chemistry chemical physics : PCCP

    2023  Volume 25, Issue 47, Page(s) 32726

    Abstract: Correction for 'Cumulant mapping as the basis of multi-dimensional spectrometry' by Leszek J. Frasinski, ...

    Abstract Correction for 'Cumulant mapping as the basis of multi-dimensional spectrometry' by Leszek J. Frasinski,
    Language English
    Publishing date 2023-12-06
    Publishing country England
    Document type Published Erratum
    ZDB-ID 1476244-4
    ISSN 1463-9084 ; 1463-9076
    ISSN (online) 1463-9084
    ISSN 1463-9076
    DOI 10.1039/d3cp90213g
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Cumulant mapping as the basis of multi-dimensional spectrometry.

    Frasinski, Leszek J

    Physical chemistry chemical physics : PCCP

    2022  Volume 24, Issue 35, Page(s) 20776–20787

    Abstract: Cumulant mapping employs a statistical reconstruction of the whole by sampling its parts. The theory developed in this work formalises and ... ...

    Abstract Cumulant mapping employs a statistical reconstruction of the whole by sampling its parts. The theory developed in this work formalises and extends
    MeSH term(s) Models, Theoretical ; Spectrometry, Fluorescence/methods
    Language English
    Publishing date 2022-09-14
    Publishing country England
    Document type Journal Article
    ZDB-ID 1476244-4
    ISSN 1463-9084 ; 1463-9076
    ISSN (online) 1463-9084
    ISSN 1463-9076
    DOI 10.1039/d2cp02365b
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Identification of Cofragmented Combinatorial Peptide Isomers by Two-Dimensional Partial Covariance Mass Spectrometry.

    Driver, Taran / Pipkorn, Rüdiger / Averbukh, Vitali / Frasinski, Leszek J / Marangos, Jon P / Edelson-Averbukh, Marina

    Journal of the American Society for Mass Spectrometry

    2023  Volume 34, Issue 7, Page(s) 1230–1234

    Abstract: Combinatorial post-translational modifications (PTMs), such as those forming the so-called "histone code", have been linked to cell differentiation, embryonic development, cellular reprogramming, aging, cancers, neurodegenerative disorders, ...

    Abstract Combinatorial post-translational modifications (PTMs), such as those forming the so-called "histone code", have been linked to cell differentiation, embryonic development, cellular reprogramming, aging, cancers, neurodegenerative disorders,
    MeSH term(s) Humans ; Peptides/chemistry ; Mass Spectrometry/methods ; Histones/chemistry ; Histone Code ; Protein Processing, Post-Translational
    Chemical Substances Peptides ; Histones
    Language English
    Publishing date 2023-05-30
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1073671-2
    ISSN 1879-1123 ; 1044-0305
    ISSN (online) 1879-1123
    ISSN 1044-0305
    DOI 10.1021/jasms.3c00111
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article: Two-Dimensional Partial Covariance Mass Spectrometry for the Top–Down Analysis of Intact Proteins

    Driver, Taran / Averbukh, Vitali / Frasiński, Leszek J. / Marangos, Jon P. / Edelson-Averbukh, Marina

    Analytical chemistry. 2021 July 26, v. 93, no. 31

    2021  

    Abstract: Two-dimensional partial covariance mass spectrometry (2D-PC-MS) exploits the inherent fluctuations of fragment ion abundances across a series of tandem mass spectra, to identify correlated pairs of fragment ions produced along the same fragmentation ... ...

    Abstract Two-dimensional partial covariance mass spectrometry (2D-PC-MS) exploits the inherent fluctuations of fragment ion abundances across a series of tandem mass spectra, to identify correlated pairs of fragment ions produced along the same fragmentation pathway of the same parent (e.g., peptide) ion. Here, we apply 2D-PC-MS to the analysis of intact protein ions in a standard linear ion trap mass analyzer, using the fact that the fragment–fragment correlation signals are much more specific to the biomolecular sequence than one-dimensional (1D) tandem mass spectrometry (MS/MS) signals at the same mass accuracy and resolution. We show that from the distribution of signals on a 2D-PC-MS map it is possible to extract the charge state of both parent and fragment ions without resolving the isotopic envelope. Furthermore, the 2D map of fragment–fragment correlations naturally separates the products of the primary decomposition pathways of the molecular ions from those of the secondary ones. We access this spectral information using an adapted version of the Hough transform. We demonstrate the successful identification of highly charged, intact protein molecules bypassing the need for high mass resolution. Using this technique, we also perform the in silico deconvolution of the overlapping fragment ion signals from two co-isolated and co-fragmented intact proteins, demonstrating a viable new method for the concurrent mass spectrometric identification of a mixture of intact protein ions from the same fragment ion spectrum.
    Keywords analytical chemistry ; computer simulation ; covariance ; peptides ; tandem mass spectrometry
    Language English
    Dates of publication 2021-0726
    Size p. 10779-10788.
    Publishing place American Chemical Society
    Document type Article
    ZDB-ID 1508-8
    ISSN 1520-6882 ; 0003-2700
    ISSN (online) 1520-6882
    ISSN 0003-2700
    DOI 10.1021/acs.analchem.1c00332
    Database NAL-Catalogue (AGRICOLA)

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  5. Article ; Online: Chimera Spectrum Diagnostics for Peptides Using Two-Dimensional Partial Covariance Mass Spectrometry.

    Driver, Taran / Bachhawat, Nikhil / Frasinski, Leszek J / Marangos, Jonathan P / Averbukh, Vitali / Edelson-Averbukh, Marina

    Molecules (Basel, Switzerland)

    2021  Volume 26, Issue 12

    Abstract: The rate of successful identification of peptide sequences by tandem mass spectrometry (MS/MS) is adversely affected by the common occurrence of co-isolation and co-fragmentation of two or more isobaric or isomeric parent ions. This results in so-called ` ...

    Abstract The rate of successful identification of peptide sequences by tandem mass spectrometry (MS/MS) is adversely affected by the common occurrence of co-isolation and co-fragmentation of two or more isobaric or isomeric parent ions. This results in so-called `chimera spectra', which feature peaks of the fragment ions from more than a single precursor ion. The totality of the fragment ion peaks in chimera spectra cannot be assigned to a single peptide sequence, which contradicts a fundamental assumption of the standard automated MS/MS spectra analysis tools, such as protein database search engines. This calls for a diagnostic method able to identify chimera spectra to single out the cases where this assumption is not valid. Here, we demonstrate that, within the recently developed two-dimensional partial covariance mass spectrometry (2D-PC-MS), it is possible to reliably identify chimera spectra directly from the two-dimensional fragment ion spectrum, irrespective of whether the co-isolated peptide ions are isobaric up to a finite mass accuracy or isomeric. We introduce '3-57 chimera tag' technique for chimera spectrum diagnostics based on 2D-PC-MS and perform numerical simulations to examine its efficiency. We experimentally demonstrate the detection of a mixture of two isomeric parent ions, even under conditions when one isomeric peptide is at one five-hundredth of the molar concentration of the second isomer.
    MeSH term(s) Databases, Protein ; Ions/metabolism ; Peptides/metabolism ; Proteomics/methods ; Tandem Mass Spectrometry/methods
    Chemical Substances Ions ; Peptides
    Language English
    Publishing date 2021-06-18
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 1413402-0
    ISSN 1420-3049 ; 1431-5165 ; 1420-3049
    ISSN (online) 1420-3049
    ISSN 1431-5165 ; 1420-3049
    DOI 10.3390/molecules26123728
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Two-Dimensional Partial Covariance Mass Spectrometry for the Top-Down Analysis of Intact Proteins.

    Driver, Taran / Averbukh, Vitali / Frasiński, Leszek J / Marangos, Jon P / Edelson-Averbukh, Marina

    Analytical chemistry

    2021  Volume 93, Issue 31, Page(s) 10779–10788

    Abstract: Two-dimensional partial covariance mass spectrometry (2D-PC-MS) exploits the inherent fluctuations of fragment ion abundances across a series of tandem mass spectra, to identify correlated pairs of fragment ions produced along the same fragmentation ... ...

    Abstract Two-dimensional partial covariance mass spectrometry (2D-PC-MS) exploits the inherent fluctuations of fragment ion abundances across a series of tandem mass spectra, to identify correlated pairs of fragment ions produced along the same fragmentation pathway of the same parent (e.g., peptide) ion. Here, we apply 2D-PC-MS to the analysis of intact protein ions in a standard linear ion trap mass analyzer, using the fact that the fragment-fragment correlation signals are much more specific to the biomolecular sequence than one-dimensional (1D) tandem mass spectrometry (MS/MS) signals at the same mass accuracy and resolution. We show that from the distribution of signals on a 2D-PC-MS map it is possible to extract the charge state of both parent and fragment ions without resolving the isotopic envelope. Furthermore, the 2D map of fragment-fragment correlations naturally separates the products of the primary decomposition pathways of the molecular ions from those of the secondary ones. We access this spectral information using an adapted version of the Hough transform. We demonstrate the successful identification of highly charged, intact protein molecules bypassing the need for high mass resolution. Using this technique, we also perform the
    MeSH term(s) Ions ; Peptides ; Proteins ; Proteomics ; Tandem Mass Spectrometry
    Chemical Substances Ions ; Peptides ; Proteins
    Language English
    Publishing date 2021-07-26
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 1508-8
    ISSN 1520-6882 ; 0003-2700
    ISSN (online) 1520-6882
    ISSN 0003-2700
    DOI 10.1021/acs.analchem.1c00332
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article: Proteomic Database Search Engine for Two-Dimensional Partial Covariance Mass Spectrometry

    Driver, Taran / Bachhawat, Nikhil / Pipkorn, Rüdiger / Frasiński, Leszek J. / Marangos, Jon P. / Edelson-Averbukh, Marina / Averbukh, Vitali

    Analytical chemistry. 2021 Nov. 01, v. 93, no. 45

    2021  

    Abstract: We present a protein database search engine for the automatic identification of peptide and protein sequences using the recently introduced method of two-dimensional partial covariance mass spectrometry (2D-PC-MS). Because the 2D-PC-MS measurement ... ...

    Abstract We present a protein database search engine for the automatic identification of peptide and protein sequences using the recently introduced method of two-dimensional partial covariance mass spectrometry (2D-PC-MS). Because the 2D-PC-MS measurement reveals correlations between fragments stemming from the same or consecutive decomposition processes, the first-of-its-kind 2D-PC-MS search engine is based entirely on the direct matching of the pairs of theoretical and the experimentally detected correlating fragments, rather than of individual fragment signals or their series. We demonstrate that the high structural specificity afforded by 2D-PC-MS fragment correlations enables our search engine to reliably identify the correct peptide sequence, even from a spectrum with a large proportion of contaminant signals. While for peptides, the 2D-PC-MS correlation-matching procedure is based on complementary and internal ion correlations, the identification of intact proteins is entirely based on the ability of 2D-PC-MS to spatially separate and resolve the experimental correlations between complementary fragment ions.
    Keywords amino acid sequences ; analytical chemistry ; covariance ; databases ; mass spectrometry ; peptides ; proteomics
    Language English
    Dates of publication 2021-1101
    Size p. 14946-14954.
    Publishing place American Chemical Society
    Document type Article
    ZDB-ID 1508-8
    ISSN 1520-6882 ; 0003-2700
    ISSN (online) 1520-6882
    ISSN 0003-2700
    DOI 10.1021/acs.analchem.1c00895
    Database NAL-Catalogue (AGRICOLA)

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  8. Article ; Online: Efficient prediction of attosecond two-colour pulses from an X-ray free-electron laser with machine learning.

    Alaa El-Din, Karim K / Alexander, Oliver G / Frasinski, Leszek J / Mintert, Florian / Guo, Zhaoheng / Duris, Joseph / Zhang, Zhen / Cesar, David B / Franz, Paris / Driver, Taran / Walter, Peter / Cryan, James P / Marinelli, Agostino / Marangos, Jon P / Mukherjee, Rick

    Scientific reports

    2024  Volume 14, Issue 1, Page(s) 7267

    Abstract: X-ray free-electron lasers are sources of coherent, high-intensity X-rays with numerous applications in ultra-fast measurements and dynamic structural imaging. Due to the stochastic nature of the self-amplified spontaneous emission process and the ... ...

    Abstract X-ray free-electron lasers are sources of coherent, high-intensity X-rays with numerous applications in ultra-fast measurements and dynamic structural imaging. Due to the stochastic nature of the self-amplified spontaneous emission process and the difficulty in controlling injection of electrons, output pulses exhibit significant noise and limited temporal coherence. Standard measurement techniques used for characterizing two-coloured X-ray pulses are challenging, as they are either invasive or diagnostically expensive. In this work, we employ machine learning methods such as neural networks and decision trees to predict the central photon energies of pairs of attosecond fundamental and second harmonic pulses using parameters that are easily recorded at the high-repetition rate of a single shot. Using real experimental data, we apply a detailed feature analysis on the input parameters while optimizing the training time of the machine learning methods. Our predictive models are able to make predictions of central photon energy for one of the pulses without measuring the other pulse, thereby leveraging the use of the spectrometer without having to extend its detection window. We anticipate applications in X-ray spectroscopy using XFELs, such as in time-resolved X-ray absorption and photoemission spectroscopy, where improved measurement of input spectra will lead to better experimental outcomes.
    Language English
    Publishing date 2024-03-27
    Publishing country England
    Document type Journal Article
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-024-56782-z
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Multiparticle Cumulant Mapping for Coulomb Explosion Imaging.

    Cheng, Chuan / Frasinski, Leszek J / Moğol, Gönenç / Allum, Felix / Howard, Andrew J / Rolles, Daniel / Bucksbaum, Philip H / Brouard, Mark / Forbes, Ruaridh / Weinacht, Thomas

    Physical review letters

    2023  Volume 130, Issue 9, Page(s) 93001

    Abstract: We extend covariance velocity map ion imaging to four particles, establishing cumulant mapping and allowing for measurements that provide insights usually associated with coincidence detection, but at much higher count rates. Without correction, a ... ...

    Abstract We extend covariance velocity map ion imaging to four particles, establishing cumulant mapping and allowing for measurements that provide insights usually associated with coincidence detection, but at much higher count rates. Without correction, a fourfold covariance analysis is contaminated by the pairwise correlations of uncorrelated events, but we have addressed this with the calculation of a full cumulant, which subtracts pairwise correlations. We demonstrate the approach on the four-body breakup of formaldehyde following strong field multiple ionization in few-cycle laser pulses. We compare Coulomb explosion imaging for two different pulse durations (30 and 6 fs), highlighting the dynamics that can take place on ultrafast timescales. These results have important implications for Coulomb explosion imaging as a tool for studying ultrafast structural changes in molecules, a capability that is especially desirable for high-count-rate x-ray free-electron laser experiments.
    Language English
    Publishing date 2023-02-24
    Publishing country United States
    Document type Journal Article
    ZDB-ID 208853-8
    ISSN 1079-7114 ; 0031-9007
    ISSN (online) 1079-7114
    ISSN 0031-9007
    DOI 10.1103/PhysRevLett.130.093001
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Proteomic Database Search Engine for Two-Dimensional Partial Covariance Mass Spectrometry.

    Driver, Taran / Bachhawat, Nikhil / Pipkorn, Rüdiger / Frasiński, Leszek J / Marangos, Jon P / Edelson-Averbukh, Marina / Averbukh, Vitali

    Analytical chemistry

    2021  Volume 93, Issue 45, Page(s) 14946–14954

    Abstract: We present a protein database search engine for the automatic identification of peptide and protein sequences using the recently introduced method of two-dimensional partial covariance mass spectrometry (2D-PC-MS). Because the 2D-PC-MS measurement ... ...

    Abstract We present a protein database search engine for the automatic identification of peptide and protein sequences using the recently introduced method of two-dimensional partial covariance mass spectrometry (2D-PC-MS). Because the 2D-PC-MS measurement reveals correlations between fragments stemming from the same or consecutive decomposition processes, the first-of-its-kind 2D-PC-MS search engine is based entirely on the direct matching of the pairs of theoretical and the experimentally detected correlating fragments, rather than of individual fragment signals or their series. We demonstrate that the high structural specificity afforded by 2D-PC-MS fragment correlations enables our search engine to reliably identify the correct peptide sequence, even from a spectrum with a large proportion of contaminant signals. While for peptides, the 2D-PC-MS correlation-matching procedure is based on complementary and internal ion correlations, the identification of intact proteins is entirely based on the ability of 2D-PC-MS to spatially separate and resolve the experimental correlations between complementary fragment ions.
    MeSH term(s) Databases, Protein ; Mass Spectrometry ; Peptides ; Proteomics ; Search Engine
    Chemical Substances Peptides
    Language English
    Publishing date 2021-11-01
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 1508-8
    ISSN 1520-6882 ; 0003-2700
    ISSN (online) 1520-6882
    ISSN 0003-2700
    DOI 10.1021/acs.analchem.1c00895
    Database MEDical Literature Analysis and Retrieval System OnLINE

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