Irina A. Tarasova

Dr. Irina A. Tarasova

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Research Focus & Metrics

Academic Career Length

21Years (2006-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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21 October 2006 in Analytical Chemistry
Verified
Journal Article
Closed access
AGAlexander V. Gorshkov
Alexander V. Gorshkov
ITIrina A. Tarasova
Irina A. Tarasova
VEVictor V. Evreinov
Victor V. Evreinov
MSMikhail M. Savitski
Mikhail M. Savitski
MNMichael L. Nielsen
Michael L. Nielsen
MGMikhail V. Gorshkov
Mikhail V. Gorshkov

23 April 2018 in Journal of Proteome Research
Verified
Journal Article
Closed access
LLLev I. Levitsky
Lev I. Levitsky
MIMark V. Ivanov
Mark V. Ivanov
ALAnna A. Lobas
Anna A. Lobas
JBJulia A. Bubis
Julia A. Bubis
ITIrina A. Tarasova
Irina A. Tarasova
MGMikhail V. Gorshkov
Mikhail V. Gorshkov

26 February 2017 in Rapid Communications in Mass Spectrometry
Verified
Journal Article
Closed access
JBJulia A. Bubis
Julia A. Bubis
LLLev I. Levitsky
Lev I. Levitsky
MIMark V. Ivanov
Mark V. Ivanov
ITIrina A. Tarasova
Irina A. Tarasova
MGMikhail V. Gorshkov
Mikhail V. Gorshkov

12 September 2022 in Analytical Chemistry
Verified
Journal Article
Open access
MIMark V. Ivanov
Mark V. Ivanov
JBJulia A. Bubis
Julia A. Bubis
VGVladimir Gorshkov
Vladimir Gorshkov
ITIrina A. Tarasova
Irina A. Tarasova
LLLev I. Levitsky
Lev I. Levitsky
MGMikhail V. Gorshkov
Mikhail V. Gorshkov
Recently, we presented the DirectMS1 method of ultrafast proteome-wide analysis based on minute-long LC gradients and MS1-only mass spectra acquisition. Currently, the method provides the depth of human cell proteome coverage of 2500 proteins at a 1% false discovery rate (FDR) when using 5 min LC gradients and 7.3 min runtime in total. While the standard MS/MS approaches provide 4000-5000 protein identifications within a couple of hours of instrumentation time, we advocate here that the higher number of identified proteins does not always translate into better quantitation quality of the proteome analysis. To further elaborate on this issue, we performed a one-on-one comparison of quantitation results obtained using DirectMS1 with three popular MS/MS-based quantitation methods: label-free (LFQ) and tandem mass tag quantitation (TMT), both based on data-dependent acquisition (DDA) and data-independent acquisition (DIA). For comparison, we performed a series of proteome-wide analyses of well-characterized (ground truth) and biologically relevant samples, including a mix of UPS1 proteins spiked at different concentrations into an Echerichia coli digest used as a background and a set of glioblastoma cell lines. MS1-only data was analyzed using a novel quantitation workflow called DirectMS1Quant developed in this work. The results obtained in this study demonstrated comparable quantitation efficiency of 5 min DirectMS1 with both TMT and DIA methods, yet the latter two utilized a 10-20-fold longer instrumentation time.

4 July 2016 in The Analyst
Verified
Journal Article
Closed access
PDF file
ITIrina A. Tarasova
Irina A. Tarasova
CMChristophe D. Masselon
Christophe D. Masselon
AGAlexander V. Gorshkov
Alexander V. Gorshkov
MGMikhail V. Gorshkov
Mikhail V. Gorshkov
In the last couple of decades, considerable effort has been focused on developing methods for quantitative and qualitative proteome characterization.

28 September 2017 in Journal of Proteome Research
Verified
Journal Article
Closed access
MIMark V. Ivanov
Mark V. Ivanov
ITIrina A. Tarasova
Irina A. Tarasova
LLLev I. Levitsky
Lev I. Levitsky
ESElizaveta M. Solovyeva
Elizaveta M. Solovyeva
MPMarina L. Pridatchenko
Marina L. Pridatchenko
MGMikhail V. Gorshkov
Mikhail V. Gorshkov