8 research outputs found
Coupling High-Field Asymmetric Waveform Ion Mobility Spectrometry with Capillary Zone Electrophoresis-Tandem Mass Spectrometry for Top-Down Proteomics
Capillary zone electrophoresis-tandem mass spectrometry
(CZE-MS/MS)
has emerged as an essential technique for top-down proteomics (TDP),
providing superior separation efficiency and high detection sensitivity
for proteoform analysis. Here, we aimed to further enhance the performance
of CZE-MS/MS for TDP via coupling online gas-phase proteoform fractionation
using high-field asymmetric waveform ion mobility spectrometry (FAIMS).
When the compensation voltage (CV) of FAIMS was changed from −50
to 30 V, the median mass of identified proteoforms increased from
less than 10 kDa to about 30 kDa, suggesting that FAIMS can efficiently
fractionate proteoforms by their size. CZE-FAIMS-MS/MS boosted the
number of proteoform identifications from a yeast sample by nearly
3-fold relative to CZE-MS/MS alone. It particularly benefited the
identification of relatively large proteoforms, improving the number
of proteoforms in a mass range of 20–45 kDa by 6-fold compared
to CZE-MS/MS alone. FAIMS fractionation gained nearly 20-fold better
signal-to-noise ratios of randomly selected proteoforms than no FAIMS.
We expect that CZE-FAIMS-MS/MS will be a useful tool for further advancing
the sensitivity and coverage of TDP. This work shows the first example
of coupling CE with ion mobility spectrometry (IMS) for TDP
Coupling High-Field Asymmetric Waveform Ion Mobility Spectrometry with Capillary Zone Electrophoresis-Tandem Mass Spectrometry for Top-Down Proteomics
Capillary zone electrophoresis-tandem mass spectrometry
(CZE-MS/MS)
has emerged as an essential technique for top-down proteomics (TDP),
providing superior separation efficiency and high detection sensitivity
for proteoform analysis. Here, we aimed to further enhance the performance
of CZE-MS/MS for TDP via coupling online gas-phase proteoform fractionation
using high-field asymmetric waveform ion mobility spectrometry (FAIMS).
When the compensation voltage (CV) of FAIMS was changed from −50
to 30 V, the median mass of identified proteoforms increased from
less than 10 kDa to about 30 kDa, suggesting that FAIMS can efficiently
fractionate proteoforms by their size. CZE-FAIMS-MS/MS boosted the
number of proteoform identifications from a yeast sample by nearly
3-fold relative to CZE-MS/MS alone. It particularly benefited the
identification of relatively large proteoforms, improving the number
of proteoforms in a mass range of 20–45 kDa by 6-fold compared
to CZE-MS/MS alone. FAIMS fractionation gained nearly 20-fold better
signal-to-noise ratios of randomly selected proteoforms than no FAIMS.
We expect that CZE-FAIMS-MS/MS will be a useful tool for further advancing
the sensitivity and coverage of TDP. This work shows the first example
of coupling CE with ion mobility spectrometry (IMS) for TDP
Capillary Zone Electrophoresis-Tandem Mass Spectrometry for Top-Down Proteomics of Mouse Brain Integral Membrane Proteins
Mass
spectrometry (MS)-based top-down characterization of integral
membrane proteins (IMPs) is crucial for understanding their functions
in biological processes. However, it is technically challenging due
to their low solubility in typical MS-compatible buffers. In this
work, for the first time, we developed an efficient capillary zone
electrophoresis (CZE)-tandem MS (MS/MS) method for the top-down proteomics
(TDP) of IMPs enriched from mouse brains. Our technique employs a
sample buffer containing 30% (v/v) formic acid and 60% (v/v) methanol
for solubilizing IMPs and utilizes a separation buffer of 30% (v/v)
acetic acid and 30% (v/v) methanol for maintaining the solubility
of IMPs during CZE separation. Single-shot CZE-MS/MS identified 51
IMP proteoforms from the mouse brain sample. Coupling size exclusion
chromatography (SEC) to CZE-MS/MS enabled the identification of 276
IMP proteoforms from the mouse brain sample containing 1–4
transmembrane domains. This proof-of-concept work demonstrates the
high potential of CZE-MS/MS for the large-scale TDP of IMPs
Capillary Zone Electrophoresis-Tandem Mass Spectrometry for Top-Down Proteomics of Mouse Brain Integral Membrane Proteins
Mass
spectrometry (MS)-based top-down characterization of integral
membrane proteins (IMPs) is crucial for understanding their functions
in biological processes. However, it is technically challenging due
to their low solubility in typical MS-compatible buffers. In this
work, for the first time, we developed an efficient capillary zone
electrophoresis (CZE)-tandem MS (MS/MS) method for the top-down proteomics
(TDP) of IMPs enriched from mouse brains. Our technique employs a
sample buffer containing 30% (v/v) formic acid and 60% (v/v) methanol
for solubilizing IMPs and utilizes a separation buffer of 30% (v/v)
acetic acid and 30% (v/v) methanol for maintaining the solubility
of IMPs during CZE separation. Single-shot CZE-MS/MS identified 51
IMP proteoforms from the mouse brain sample. Coupling size exclusion
chromatography (SEC) to CZE-MS/MS enabled the identification of 276
IMP proteoforms from the mouse brain sample containing 1–4
transmembrane domains. This proof-of-concept work demonstrates the
high potential of CZE-MS/MS for the large-scale TDP of IMPs
Pilot Evaluation of the Long-Term Reproducibility of Capillary Zone Electrophoresis–Tandem Mass Spectrometry for Top-Down Proteomics of a Complex Proteome Sample
Mass spectrometry (MS)-based top-down
proteomics (TDP) has revolutionized
biological research by measuring intact proteoforms in cells, tissues,
and biofluids. Capillary zone electrophoresis–tandem MS (CZE-MS/MS)
is a valuable technique for TDP, offering a high peak capacity and
sensitivity for proteoform separation and detection. However, the
long-term reproducibility of CZE-MS/MS in TDP remains unstudied, which
is a crucial aspect for large-scale studies. This work investigated
the long-term qualitative and quantitative reproducibility of CZE-MS/MS
for TDP for the first time, focusing on a yeast cell lysate. Over
1000 proteoforms were identified per run across 62 runs using one
linear polyacrylamide (LPA)-coated separation capillary, highlighting
the robustness of the CZE-MS/MS technique. However, substantial decreases
in proteoform intensity and identification were observed after some
initial runs due to proteoform adsorption onto the capillary inner
wall. To address this issue, we developed an efficient capillary cleanup
procedure using diluted ammonium hydroxide, achieving high qualitative
and quantitative reproducibility for the yeast sample across at least
23 runs. The data underscore the capability of CZE-MS/MS for large-scale
quantitative TDP of complex samples, signaling its readiness for deployment
in broad biological applications. The MS RAW files were deposited
in ProteomeXchange Consortium with the data set identifier of PXD046651
Pilot Evaluation of the Long-Term Reproducibility of Capillary Zone Electrophoresis–Tandem Mass Spectrometry for Top-Down Proteomics of a Complex Proteome Sample
Mass spectrometry (MS)-based top-down
proteomics (TDP) has revolutionized
biological research by measuring intact proteoforms in cells, tissues,
and biofluids. Capillary zone electrophoresis–tandem MS (CZE-MS/MS)
is a valuable technique for TDP, offering a high peak capacity and
sensitivity for proteoform separation and detection. However, the
long-term reproducibility of CZE-MS/MS in TDP remains unstudied, which
is a crucial aspect for large-scale studies. This work investigated
the long-term qualitative and quantitative reproducibility of CZE-MS/MS
for TDP for the first time, focusing on a yeast cell lysate. Over
1000 proteoforms were identified per run across 62 runs using one
linear polyacrylamide (LPA)-coated separation capillary, highlighting
the robustness of the CZE-MS/MS technique. However, substantial decreases
in proteoform intensity and identification were observed after some
initial runs due to proteoform adsorption onto the capillary inner
wall. To address this issue, we developed an efficient capillary cleanup
procedure using diluted ammonium hydroxide, achieving high qualitative
and quantitative reproducibility for the yeast sample across at least
23 runs. The data underscore the capability of CZE-MS/MS for large-scale
quantitative TDP of complex samples, signaling its readiness for deployment
in broad biological applications. The MS RAW files were deposited
in ProteomeXchange Consortium with the data set identifier of PXD046651
Predicting Electrophoretic Mobility of Proteoforms for Large-Scale Top-Down Proteomics
Large-scale
top-down proteomics characterizes proteoforms in cells
globally with high confidence and high throughput using reversed-phase
liquid chromatography (RPLC)–tandem mass spectrometry (MS/MS)
or capillary zone electrophoresis (CZE)–MS/MS. The false discovery
rate (FDR) from the target–decoy database search is typically
deployed to filter identified proteoforms to ensure high-confidence
identifications (IDs). It has been demonstrated that the FDRs in top-down
proteomics can be drastically underestimated. An alternative approach
to the FDR can be useful for further evaluating the confidence of
proteoform IDs after the database search. We argue that predicting
retention/migration time of proteoforms from the RPLC/CZE separation
accurately and comparing their predicted and experimental separation
time could be a useful and practical approach. Based on our knowledge,
there is still no report in the literature about predicting separation
time of proteoforms using large top-down proteomics data sets. In
this pilot study, for the first time, we evaluated various semiempirical
models for predicting proteoforms’ electrophoretic mobility
(μef) using large-scale top-down proteomics data
sets from CZE–MS/MS. We achieved a linear correlation between
experimental and predicted μef of E. coli proteoforms (R2 = 0.98) with a simple
semiempirical model, which utilizes the number of charges and molecular
mass of each proteoform as the parameters. Our modeling data suggest
that the complete unfolding of proteoforms during CZE separation benefits
the prediction of their μef. Our results also indicate
that N-terminal acetylation and phosphorylation both decrease the
proteoforms’ charge by roughly one charge unit
