|
|
|
Complete
|
Mouse heart proteomics workflow comparison for KoBMAP project
|
To establish optimal analytical conditions for high-quality data generation, mouse heart tissue was used to evaluate different combinations of sample preparation and acquisition strategies. For global proteomics, In-solution, FASP, and S-trap digestion methods were assessed in combination with both DDA and DIA acquisition modes. For phosphoproteomics, TiO₂ and IMAC enrichment methods were evaluated together with DDA and DIA acquisition strategies.
|
Dataset 1
|
-
|
Min-Sik Kim
(DGIST)
|
Mus musculus (Mouse)
|
Tissue: heart
Cell: Others
|
Others
|
Thermo Scientific Orbitrap Exploris 480
|
Bottom-up proteomics
|
Acetyl (Protein N-term), Carbamidomethyl (C), Oxidation (M)
|
2025-12-01
|
view
Sample type, Disease, Fractionation, Digestion, Quantification, Experiment type
| Sample type |
Sample type
| Body fluid |
Tissue |
Cell |
Others |
|
-
|
heart
|
Others
|
-
|
|
| Disease |
Others
|
| Fractionation |
Fractionation
| Method |
Separation mode |
Number of fractions |
|
-
|
-
|
0
|
|
| Digestion |
Trypsin
|
| Quantification |
Quantification
| Labeling |
Plex |
|
-
|
0
plex
|
|
| Experiment type |
Bottom-up proteomics
|
|
|
|
|
Complete
|
Mouse heart proteomics workflow comparison for KoBMAP project
|
To establish optimal analytical conditions for high-quality data generation, mouse heart tissue was used to evaluate different combinations of sample preparation and acquisition strategies. For global proteomics, In-solution, FASP, and S-trap digestion methods were assessed in combination with both DDA and DIA acquisition modes. For phosphoproteomics, TiO₂ and IMAC enrichment methods were evaluated together with DDA and DIA acquisition strategies.
|
Dataset 1
|
-
|
Min-Sik Kim
(DGIST)
|
Mus musculus (Mouse)
|
Tissue: heart
Cell: Others
|
Others
|
Thermo Scientific Orbitrap Exploris 480
|
Bottom-up proteomics
|
Acetyl (Protein N-term), Carbamidomethyl (C)
|
2025-12-02
|
view
Sample type, Disease, Fractionation, Digestion, Quantification, Experiment type
| Sample type |
Sample type
| Body fluid |
Tissue |
Cell |
Others |
|
-
|
heart
|
Others
|
-
|
|
| Disease |
Others
|
| Fractionation |
Fractionation
| Method |
Separation mode |
Number of fractions |
|
-
|
-
|
0
|
|
| Digestion |
-
|
| Quantification |
Quantification
| Labeling |
Plex |
|
-
|
0
plex
|
|
| Experiment type |
Bottom-up proteomics
|
|
|
|
|
Complete
|
Mouse heart proteomics workflow comparison for KoBMAP project
|
To establish optimal analytical conditions for high-quality data generation, mouse heart tissue was used to evaluate different combinations of sample preparation and acquisition strategies. For global proteomics, In-solution, FASP, and S-trap digestion methods were assessed in combination with both DDA and DIA acquisition modes. For phosphoproteomics, TiO₂ and IMAC enrichment methods were evaluated together with DDA and DIA acquisition strategies.
|
Dataset 1
|
-
|
Min-Sik Kim
(DGIST)
|
Mus musculus (Mouse)
|
Tissue: heart
Cell: Others
|
Others
|
Thermo Scientific Orbitrap Exploris 480
|
Bottom-up proteomics
|
Carbamidomethyl (C), Phospho (S), Phospho (T), Phospho (Y)
|
2025-12-02
|
view
Sample type, Disease, Fractionation, Digestion, Quantification, Experiment type
| Sample type |
Sample type
| Body fluid |
Tissue |
Cell |
Others |
|
-
|
heart
|
Others
|
-
|
|
| Disease |
Others
|
| Fractionation |
Fractionation
| Method |
Separation mode |
Number of fractions |
|
-
|
-
|
0
|
|
| Digestion |
-
|
| Quantification |
Quantification
| Labeling |
Plex |
|
-
|
0
plex
|
|
| Experiment type |
Bottom-up proteomics
|
|
|
|
|
Complete
|
Mouse heart proteomics workflow comparison for KoBMAP project
|
To establish optimal analytical conditions for high-quality data generation, mouse heart tissue was used to evaluate different combinations of sample preparation and acquisition strategies. For global proteomics, In-solution, FASP, and S-trap digestion methods were assessed in combination with both DDA and DIA acquisition modes. For phosphoproteomics, TiO₂ and IMAC enrichment methods were evaluated together with DDA and DIA acquisition strategies.
|
Dataset 1
|
-
|
Min-Sik Kim
(DGIST)
|
Mus musculus (Mouse)
|
Tissue: heart
Cell: Others
|
Others
|
Thermo Scientific Orbitrap Exploris 480
|
Bottom-up proteomics
|
Carbamidomethyl (C), Phospho (S), Phospho (T), Phospho (Y)
|
2025-12-03
|
view
Sample type, Disease, Fractionation, Digestion, Quantification, Experiment type
| Sample type |
Sample type
| Body fluid |
Tissue |
Cell |
Others |
|
-
|
heart
|
Others
|
-
|
|
| Disease |
Others
|
| Fractionation |
Fractionation
| Method |
Separation mode |
Number of fractions |
|
-
|
-
|
0
|
|
| Digestion |
Trypsin
|
| Quantification |
Quantification
| Labeling |
Plex |
|
-
|
0
plex
|
|
| Experiment type |
Bottom-up proteomics
|
|
|
|
|
Complete
|
PRM Analysis on Subcellular Localization of Nt-Arginylated Proteins in shATE1-treated HeLa.
|
The project involves the investigation of the spatial distribution of Nt-arginylated proteins by integrating subcellular fractionation with targeted proteomics (PRM) in HeLa cells. Paired peptides (Nt-arginylated vs. unmodified) for key mitochondrial proteins (SSBP1, MTHFD2, UQCRHL) were quantified under ATE1-knockdown and MGTG-treated conditions. This study demonstrated that Nt-arginylation on a transit site is strictly ATE1-dependent and significantly enriched within the mitochondrial fraction compared to the cytosol.
|
Dataset 1
|
-
|
Shinyeong Ju
(Korea Institute of Science and Technology)
|
Homo sapiens (Human)
|
Tissue: cell culture
Cell: Others
|
Others
|
Thermo Scientific Q Exactive
|
Targeted proteomics
|
Carbamidomethyl (C)
|
2025-11-19
|
view
Sample type, Disease, Fractionation, Digestion, Quantification, Experiment type
| Sample type |
Sample type
| Body fluid |
Tissue |
Cell |
Others |
|
-
|
cell culture
|
Others
|
-
|
|
| Disease |
Others
|
| Fractionation |
Fractionation
| Method |
Separation mode |
Number of fractions |
|
Not applicable
|
-
|
0
|
|
| Digestion |
Trypsin
|
| Quantification |
Quantification
| Labeling |
Plex |
|
No
|
0
plex
|
|
| Experiment type |
Targeted proteomics
|
|
|
|
|
Complete
|
Proteomic Analysis of Left Ventricular Tissue in an HFpEF Mouse Model Induced by HFD and L-NAME
|
This study established a cardiovascular disease model of heart failure with preserved ejection fraction (HFpEF) by feeding mice a high-fat diet (HFD) combined with L-NAME. Left ventricular tissue samples were collected for proteomic analysis. Proteomic profiling of the left ventricles at both 6 and 8 weeks revealed significant alterations in protein expression.
|
Dataset 1
|
-
|
Jong-Seo Kim
(Seoul National University)
|
Mus musculus (Mouse)
|
Tissue: heart
Cell: Others
|
cardiovascular system disease
|
Other MS instrument
|
Bottom-up proteomics
|
Acetyl (Protein N-term), Oxidation (M)
|
2025-09-30
|
view
Sample type, Disease, Fractionation, Digestion, Quantification, Experiment type
| Sample type |
Sample type
| Body fluid |
Tissue |
Cell |
Others |
|
-
|
heart
|
Others
|
-
|
|
| Disease |
cardiovascular system disease
|
| Fractionation |
Fractionation
| Method |
Separation mode |
Number of fractions |
|
-
|
-
|
0
|
|
| Digestion |
Trypsin
|
| Quantification |
Quantification
| Labeling |
Plex |
|
No
|
0
plex
|
|
| Experiment type |
Bottom-up proteomics
|
|
|
|
|
Complete
|
UBE2K KO mice proteomics
|
This study uncovers differential protein pattern in WT mice and UBE2K KO mice.
|
Dataset 1
|
-
|
YONG-KEUN JUNG
(Seoul National University)
|
Mus musculus (Mouse)
|
Tissue: liver
Cell: Others
|
Others
|
Thermo Scientific Orbitrap Fusion Lumos Tribrid
|
Bottom-up proteomics
|
Acetyl (K), Other modifications
|
2025-09-26
|
view
Sample type, Disease, Fractionation, Digestion, Quantification, Experiment type
| Sample type |
Sample type
| Body fluid |
Tissue |
Cell |
Others |
|
-
|
liver
|
Others
|
-
|
|
| Disease |
Others
|
| Fractionation |
Fractionation
| Method |
Separation mode |
Number of fractions |
|
-
|
-
|
0
|
|
| Digestion |
Trypsin
|
| Quantification |
Quantification
| Labeling |
Plex |
|
-
|
0
plex
|
|
| Experiment type |
Bottom-up proteomics
|
|
|
|
|
Partial
|
Omics-based precision medical technology development
|
-
|
Dataset 1
|
-
|
Kim, Tae Bum
(Asan Medical Center)
|
Homo sapiens (Human)
|
Tissue: Others
Cell: Others
|
Others
|
Other MS instrument
|
Bottom-up proteomics
|
Other modifications
|
2025-12-17
|
view
Sample type, Disease, Fractionation, Digestion, Quantification, Experiment type
| Sample type |
Sample type
| Body fluid |
Tissue |
Cell |
Others |
|
-
|
Others
|
Others
|
-
|
|
| Disease |
Others
|
| Fractionation |
Fractionation
| Method |
Separation mode |
Number of fractions |
|
-
|
-
|
0
|
|
| Digestion |
Trypsin
|
| Quantification |
Quantification
| Labeling |
Plex |
|
-
|
0
plex
|
|
| Experiment type |
Bottom-up proteomics
|
|
|
|
|
Partial
|
Omics-based precision medical technology development
|
-
|
Dataset 1
|
-
|
Kim, Tae Bum
(Asan Medical Center)
|
Homo sapiens (Human)
|
Tissue: Others
Cell: Others
|
Others
|
Other MS instrument
|
Bottom-up proteomics
|
Other modifications
|
2025-12-17
|
view
Sample type, Disease, Fractionation, Digestion, Quantification, Experiment type
| Sample type |
Sample type
| Body fluid |
Tissue |
Cell |
Others |
|
-
|
Others
|
Others
|
-
|
|
| Disease |
Others
|
| Fractionation |
Fractionation
| Method |
Separation mode |
Number of fractions |
|
-
|
-
|
0
|
|
| Digestion |
Trypsin
|
| Quantification |
Quantification
| Labeling |
Plex |
|
-
|
0
plex
|
|
| Experiment type |
Bottom-up proteomics
|
|
|
|
|
Partial
|
Omics-based precision medical technology development
|
-
|
Dataset 1
|
-
|
Kim, Tae Bum
(Asan Medical Center)
|
Homo sapiens (Human)
|
Tissue: Others
Cell: Others
|
Others
|
Other MS instrument
|
Bottom-up proteomics
|
Other modifications
|
2025-12-17
|
view
Sample type, Disease, Fractionation, Digestion, Quantification, Experiment type
| Sample type |
Sample type
| Body fluid |
Tissue |
Cell |
Others |
|
-
|
Others
|
Others
|
-
|
|
| Disease |
Others
|
| Fractionation |
Fractionation
| Method |
Separation mode |
Number of fractions |
|
-
|
-
|
0
|
|
| Digestion |
Trypsin
|
| Quantification |
Quantification
| Labeling |
Plex |
|
-
|
0
plex
|
|
| Experiment type |
Bottom-up proteomics
|
|
|
|
|
Partial
|
Omics-based precision medical technology development
|
-
|
Dataset 1
|
-
|
Kim, Tae Bum
(Asan Medical Center)
|
Homo sapiens (Human)
|
Tissue: Others
Cell: Others
|
Others
|
Other MS instrument
|
Bottom-up proteomics
|
Other modifications
|
2025-12-17
|
view
Sample type, Disease, Fractionation, Digestion, Quantification, Experiment type
| Sample type |
Sample type
| Body fluid |
Tissue |
Cell |
Others |
|
-
|
Others
|
Others
|
-
|
|
| Disease |
Others
|
| Fractionation |
Fractionation
| Method |
Separation mode |
Number of fractions |
|
-
|
-
|
0
|
|
| Digestion |
Trypsin
|
| Quantification |
Quantification
| Labeling |
Plex |
|
-
|
0
plex
|
|
| Experiment type |
Bottom-up proteomics
|
|
|
|
|
Partial
|
Omics-based precision medical technology development
|
-
|
Dataset 1
|
-
|
Kim, Tae Bum
(Asan Medical Center)
|
Homo sapiens (Human)
|
Tissue: Others
Cell: Others
|
Others
|
Other MS instrument
|
Bottom-up proteomics
|
Other modifications
|
2025-12-17
|
view
Sample type, Disease, Fractionation, Digestion, Quantification, Experiment type
| Sample type |
Sample type
| Body fluid |
Tissue |
Cell |
Others |
|
-
|
Others
|
Others
|
-
|
|
| Disease |
Others
|
| Fractionation |
Fractionation
| Method |
Separation mode |
Number of fractions |
|
-
|
-
|
0
|
|
| Digestion |
Trypsin
|
| Quantification |
Quantification
| Labeling |
Plex |
|
-
|
0
plex
|
|
| Experiment type |
Bottom-up proteomics
|
|
|
|
|
Partial
|
Omics-based precision medical technology development
|
-
|
Dataset 1
|
-
|
Kim, Tae Bum
(Asan Medical Center)
|
Homo sapiens (Human)
|
Tissue: Others
Cell: Others
|
Others
|
Other MS instrument
|
Bottom-up proteomics
|
Other modifications
|
2025-12-17
|
view
Sample type, Disease, Fractionation, Digestion, Quantification, Experiment type
| Sample type |
Sample type
| Body fluid |
Tissue |
Cell |
Others |
|
-
|
Others
|
Others
|
-
|
|
| Disease |
Others
|
| Fractionation |
Fractionation
| Method |
Separation mode |
Number of fractions |
|
-
|
-
|
0
|
|
| Digestion |
Trypsin
|
| Quantification |
Quantification
| Labeling |
Plex |
|
-
|
0
plex
|
|
| Experiment type |
Bottom-up proteomics
|
|
|
|
|
Partial
|
Omics-based precision medical technology development
|
-
|
Dataset 1
|
-
|
Kim, Tae Bum
(Asan Medical Center)
|
Homo sapiens (Human)
|
Tissue: Others
Cell: Others
|
Others
|
Other MS instrument
|
Bottom-up proteomics
|
Other modifications
|
2025-12-17
|
view
Sample type, Disease, Fractionation, Digestion, Quantification, Experiment type
| Sample type |
Sample type
| Body fluid |
Tissue |
Cell |
Others |
|
-
|
Others
|
Others
|
-
|
|
| Disease |
Others
|
| Fractionation |
Fractionation
| Method |
Separation mode |
Number of fractions |
|
-
|
-
|
0
|
|
| Digestion |
Trypsin
|
| Quantification |
Quantification
| Labeling |
Plex |
|
-
|
0
plex
|
|
| Experiment type |
Bottom-up proteomics
|
|
|
|
|
Partial
|
Omics-based precision medical technology development
|
-
|
Dataset 1
|
-
|
Kim, Tae Bum
(Asan Medical Center)
|
Homo sapiens (Human)
|
Tissue: Others
Cell: Others
|
Others
|
Other MS instrument
|
Bottom-up proteomics
|
Other modifications
|
2025-12-17
|
view
Sample type, Disease, Fractionation, Digestion, Quantification, Experiment type
| Sample type |
Sample type
| Body fluid |
Tissue |
Cell |
Others |
|
-
|
Others
|
Others
|
-
|
|
| Disease |
Others
|
| Fractionation |
Fractionation
| Method |
Separation mode |
Number of fractions |
|
-
|
-
|
0
|
|
| Digestion |
Trypsin
|
| Quantification |
Quantification
| Labeling |
Plex |
|
-
|
0
plex
|
|
| Experiment type |
Bottom-up proteomics
|
|
|
|
|
Partial
|
Omics-based precision medical technology development
|
-
|
Dataset 1
|
-
|
Kim, Tae Bum
(Asan Medical Center)
|
Homo sapiens (Human)
|
Tissue: Others
Cell: Others
|
Others
|
Other MS instrument
|
Bottom-up proteomics
|
Other modifications
|
2025-12-17
|
view
Sample type, Disease, Fractionation, Digestion, Quantification, Experiment type
| Sample type |
Sample type
| Body fluid |
Tissue |
Cell |
Others |
|
-
|
Others
|
Others
|
-
|
|
| Disease |
Others
|
| Fractionation |
Fractionation
| Method |
Separation mode |
Number of fractions |
|
-
|
-
|
0
|
|
| Digestion |
Trypsin
|
| Quantification |
Quantification
| Labeling |
Plex |
|
-
|
0
plex
|
|
| Experiment type |
Bottom-up proteomics
|
|
|
|
|
Partial
|
Omics-based precision medical technology development
|
-
|
Dataset 1
|
-
|
Kim, Tae Bum
(Asan Medical Center)
|
Homo sapiens (Human)
|
Tissue: Others
Cell: Others
|
Others
|
Other MS instrument
|
Bottom-up proteomics
|
Other modifications
|
2025-12-17
|
view
Sample type, Disease, Fractionation, Digestion, Quantification, Experiment type
| Sample type |
Sample type
| Body fluid |
Tissue |
Cell |
Others |
|
-
|
Others
|
Others
|
-
|
|
| Disease |
Others
|
| Fractionation |
Fractionation
| Method |
Separation mode |
Number of fractions |
|
-
|
-
|
0
|
|
| Digestion |
Trypsin
|
| Quantification |
Quantification
| Labeling |
Plex |
|
-
|
0
plex
|
|
| Experiment type |
Bottom-up proteomics
|
|
|
|
|
Partial
|
Omics-based precision medical technology development
|
-
|
Dataset 1
|
-
|
Kim, Tae Bum
(Asan Medical Center)
|
Homo sapiens (Human)
|
Tissue: Others
Cell: Others
|
Others
|
Other MS instrument
|
Bottom-up proteomics
|
Other modifications
|
2025-12-17
|
view
Sample type, Disease, Fractionation, Digestion, Quantification, Experiment type
| Sample type |
Sample type
| Body fluid |
Tissue |
Cell |
Others |
|
-
|
Others
|
Others
|
-
|
|
| Disease |
Others
|
| Fractionation |
Fractionation
| Method |
Separation mode |
Number of fractions |
|
-
|
-
|
0
|
|
| Digestion |
Trypsin
|
| Quantification |
Quantification
| Labeling |
Plex |
|
-
|
0
plex
|
|
| Experiment type |
Bottom-up proteomics
|
|
|
|
|
Partial
|
Omics-based precision medical technology development
|
-
|
Dataset 1
|
-
|
Kim, Tae Bum
(Asan Medical Center)
|
Homo sapiens (Human)
|
Tissue: Others
Cell: Others
|
Others
|
Other MS instrument
|
Bottom-up proteomics
|
Other modifications
|
2025-12-17
|
view
Sample type, Disease, Fractionation, Digestion, Quantification, Experiment type
| Sample type |
Sample type
| Body fluid |
Tissue |
Cell |
Others |
|
-
|
Others
|
Others
|
-
|
|
| Disease |
Others
|
| Fractionation |
Fractionation
| Method |
Separation mode |
Number of fractions |
|
-
|
-
|
0
|
|
| Digestion |
Trypsin
|
| Quantification |
Quantification
| Labeling |
Plex |
|
-
|
0
plex
|
|
| Experiment type |
Bottom-up proteomics
|
|
|
|
|
Partial
|
Omics-based precision medical technology development
|
-
|
Dataset 1
|
-
|
Kim, Tae Bum
(Asan Medical Center)
|
Homo sapiens (Human)
|
Tissue: Others
Cell: Others
|
Others
|
Other MS instrument
|
Bottom-up proteomics
|
Other modifications
|
2025-12-17
|
view
Sample type, Disease, Fractionation, Digestion, Quantification, Experiment type
| Sample type |
Sample type
| Body fluid |
Tissue |
Cell |
Others |
|
-
|
Others
|
Others
|
-
|
|
| Disease |
Others
|
| Fractionation |
Fractionation
| Method |
Separation mode |
Number of fractions |
|
-
|
-
|
0
|
|
| Digestion |
Trypsin
|
| Quantification |
Quantification
| Labeling |
Plex |
|
-
|
0
plex
|
|
| Experiment type |
Bottom-up proteomics
|
|
