Yansheng Liu, PhD
Research & Publications
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Research Summary
"Proteome translates the code of life into diversity. We hope to understand the fundamental rules of proteomics. "
The Liu laboratory works on the development of state-of-the-art mass spectrometry and its application to different systems (Cell 2016) (Nature Biotechnology 2017).
The current research program in the Liu Lab is focused on analyzing protein turnover and post-translational modifications for understanding cancer aneuploidy, cellular signaling transduction, and biodiversity (Nature Biotechnology 2019, Developmental Cell 2021, Science Advances 2022). The Liu Lab also aims to contribute to the development of multiplexed data-independent acquisition mass spectrometry (DIA-MS) approaches. (Molecular Systems Biology 2020, Analytical Chemistry 2021).
Extensive Research Description
My research goal is to discover quantitative proteomic rules determining cell signaling and phenotypes in diseases such as cancer. Please see GS citations.
Specific Research areas:
1. Impact of post-translational modifications (PTMs) on protein lifetime
Protein turnover is a key parameter in signaling rewiring, but its control by PTMs has not been studied on a large scale. We systematically quantified effects of 6,000-8,000 protein phosphorylation sites on protein turnover using a pioneering method called DeltaSILAC (Developmental Cell, 2021). We found that phosphorylation often reduces protein turnover, which is underappreciated in earlier studies. We continue to develop refined data analysis strategies (Proteomics 2022) for applying this technique in dynamic systems such as the cell-fate decision process.
2. Understanding biodiversity and its origins
Impact of aneuploidy on the proteome in cancer and genetic diseases.
Genotype impacts proteotype in a non-linear fashion. Following my postdoctoral work on human trisomy 21 (Nature Communications 2017), we led a multi-lab investigation that revealed surprising heterogeneity in HeLa cell aneuploidy worldwide (Nature Biotechnology 2019).
We are now studying how cancer aneuploidy leads proteins to acquire new “off-target” cellular activities through altered protein homeostasis and protein-protein interactions.
Quantifying and understanding biodiversity at variable scale.
While our previous studies have characterized proteome variability across humans, we recently extended our analysis to 11 mammalian species (Science Advances 2022). We discovered that RNA metabolism processes in particular show higher inter-species than inter-individual variations, and identified a phosphorylation co-evolution network.
We are deeply interested in summarizing universal quantitative rules governing proteome variabilities across individuals and species.
3. The development of DIA-MS techniques and bioinformatic tools for PTM and turnover analysis
My Yale lab continues to develop cutting-edge quantitative MS techniques and bioinformatic tools. To increase DIA-MS selectivity while keeping analytical throughput, we developed two new DIA-MS methods RTwinDIA (JASMS 2019) and BoxCarmax-DIA (Analytical Chemistry, 2021). My lab also led the development of bioinformatic tools such as NAguideR, which performs/prioritizes 23 missing-value imputation algorithms for proteomics (Nucleic Acids Research, 2020), and developed a workflow for DIA-based protein turnover analysis (Mol. Systems Biology, 2020).
Collaborations at Yale
The proteomics platform developed in my lab has contributed to more than 30 Yale research laboratories through respective collaborations.
Coauthors
Research Interests
Mass Spectrometry; Proteomics; Big Data
Research Image
Proteomics based on DIA MS
Selected Publications
- Meeting Report on the 2(nd) Chinese American Society for Mass Spectrometry (CASMS) Conference Advancing Biological and Pharmaceutical Mass Spectrometry.Chen Y, Ge Y, Han X, Hao L, Huan T, Li L, Li L, Li W, Liang X, Lin Y, Liu X, Liu Y, Ma S, Peng J, Shou W, Sun L, Tao WA, Tian Y, Wang YK, Wang Y, Wu R, Wu S, Xia J, Yang Z, Zhang H, Zhang H, Zhao S, Weng N, Huang L. Meeting Report on the 2(nd) Chinese American Society for Mass Spectrometry (CASMS) Conference Advancing Biological and Pharmaceutical Mass Spectrometry. Mol Cell Proteomics 2023, 100559. PMID: 37105363, DOI: 10.1016/j.mcpro.2023.100559.
- Post‐translational modification and phenotypeSalovska B, Liu Y. Post‐translational modification and phenotype Proteomics 2023, 23: e2200535. PMID: 36799530, DOI: 10.1002/pmic.202200535.
- Phosphoproteomic analysis of metformin signaling in colorectal cancer cells elucidates mechanism of action and potential therapeutic opportunitiesSalovska B, Gao E, Müller‐Dott S, Li W, Cordon C, Wang S, Dugourd A, Rosenberger G, Saez‐Rodriguez J, Liu Y. Phosphoproteomic analysis of metformin signaling in colorectal cancer cells elucidates mechanism of action and potential therapeutic opportunities Clinical And Translational Medicine 2023, 13: e1179. PMID: 36781298, PMCID: PMC9925373, DOI: 10.1002/ctm2.1179.
- Targeted Dephosphorylation of Tau by Phosphorylation Targeting Chimeras (PhosTACs) as a Therapeutic ModalityHu Z, Chen P, Li W, Douglas T, Hines J, Liu Y, Crews C. Targeted Dephosphorylation of Tau by Phosphorylation Targeting Chimeras (PhosTACs) as a Therapeutic Modality Journal Of The American Chemical Society 2023, 145: 4045-4055. PMID: 36753634, DOI: 10.1021/jacs.2c11706.
- Toward a hypothesis‐free understanding of how phosphorylation dynamically impacts protein turnoverLi W, Salovska B, Fornasiero E, Liu Y. Toward a hypothesis‐free understanding of how phosphorylation dynamically impacts protein turnover Proteomics 2022, 23: e2100387. PMID: 36422574, DOI: 10.1002/pmic.202100387.
- Proteotype coevolution and quantitative diversity across 11 mammalian speciesBa Q, Hei Y, Dighe A, Li W, Maziarz J, Pak I, Wang S, Wagner GP, Liu Y. Proteotype coevolution and quantitative diversity across 11 mammalian species Science Advances 2022, 8: eabn0756. PMID: 36083897, PMCID: PMC9462687, DOI: 10.1126/sciadv.abn0756.
- Human WDR5 promotes breast cancer growth and metastasis via KMT2-independent translation regulationCai WL, Chen JF, Chen H, Wingrove E, Kurley SJ, Chan LH, Zhang M, Arnal-Estape A, Zhao M, Balabaki A, Li W, Yu X, Krop ED, Dou Y, Liu Y, Jin J, Westbrook TF, Nguyen DX, Yan Q. Human WDR5 promotes breast cancer growth and metastasis via KMT2-independent translation regulation ELife 2022, 11: e78163. PMID: 36043466, PMCID: PMC9584608, DOI: 10.7554/elife.78163.
- Evolution of higher mesenchymal CD44 expression in the human lineageMa X, Dighe A, Maziarz J, Neumann E, Erkenbrack E, Hei YY, Liu Y, Suhail Y, Kshitiz, Pak I, Levchenko A, Wagner GP. Evolution of higher mesenchymal CD44 expression in the human lineage Evolution Medicine And Public Health 2022, 10: 447-462. PMID: 36148042, PMCID: PMC9487634, DOI: 10.1093/emph/eoac036.
- A peptidoform based proteomic strategy for studying functions of post‐translational modificationsLiu Y. A peptidoform based proteomic strategy for studying functions of post‐translational modifications Proteomics 2021, 22: e2100316. PMID: 34878717, PMCID: PMC8959388, DOI: 10.1002/pmic.202100316.
- MAL2 mediates the formation of stable HER2 signaling complexes within lipid raft-rich membrane protrusions in breast cancer cellsJeong J, Shin JH, Li W, Hong JY, Lim J, Hwang JY, Chung JJ, Yan Q, Liu Y, Choi J, Wysolmerski J. MAL2 mediates the formation of stable HER2 signaling complexes within lipid raft-rich membrane protrusions in breast cancer cells Cell Reports 2021, 37: 110160. PMID: 34965434, PMCID: PMC8762588, DOI: 10.1016/j.celrep.2021.110160.
- Developing a Bimolecular Affinity Purification Strategy to Isolate 26S Proteasome Holocomplexes for Complex-Centric Proteomic AnalysisYu C, Wang X, Li W, Liu Y, Huang L. Developing a Bimolecular Affinity Purification Strategy to Isolate 26S Proteasome Holocomplexes for Complex-Centric Proteomic Analysis Analytical Chemistry 2021, 93: 13407-13413. PMID: 34550675, PMCID: PMC8999942, DOI: 10.1021/acs.analchem.1c03551.
- Data-independent acquisition-based proteome and phosphoproteome profiling across six melanoma cell lines reveals determinants of proteotypesGao E, Li W, Wu C, Shao W, Di Y, Liu Y. Data-independent acquisition-based proteome and phosphoproteome profiling across six melanoma cell lines reveals determinants of proteotypes Molecular Omics 2021, 17: 413-425. PMID: 33728422, PMCID: PMC8205956, DOI: 10.1039/d0mo00188k.
- Identification and Characterization of Epigenetic Regulators of Breast Cancer Metastasis to the BrainChen J, Cai W, Chen H, Wingrove E, Li W, Liu Y, Westbrook T, Nguyen D, Yan Q. Identification and Characterization of Epigenetic Regulators of Breast Cancer Metastasis to the Brain The FASEB Journal 2021, 35 DOI: 10.1096/fasebj.2021.35.s1.03094.
- A PKD-MFF signaling axis couples mitochondrial fission to mitotic progressionPangou E, Bielska O, Guerber L, Schmucker S, Agote-Arán A, Ye T, Liao Y, Puig-Gamez M, Grandgirard E, Kleiss C, Liu Y, Compe E, Zhang Z, Aebersold R, Ricci R, Sumara I. A PKD-MFF signaling axis couples mitochondrial fission to mitotic progression Cell Reports 2021, 35: 109129. PMID: 34010649, DOI: 10.1016/j.celrep.2021.109129.
- BoxCarmax: A High-Selectivity Data-Independent Acquisition Mass Spectrometry Method for the Analysis of Protein Turnover and Complex SamplesSalovska B, Li W, Di Y, Liu Y. BoxCarmax: A High-Selectivity Data-Independent Acquisition Mass Spectrometry Method for the Analysis of Protein Turnover and Complex Samples Analytical Chemistry 2021, 93: 3103-3111. PMID: 33533601, PMCID: PMC8959401, DOI: 10.1021/acs.analchem.0c04293.
- Cross-compartment signal propagation in the mitotic exit networkZhou X, Li W, Liu Y, Amon A. Cross-compartment signal propagation in the mitotic exit network ELife 2021, 10: e63645. PMID: 33481703, PMCID: PMC7822594, DOI: 10.7554/elife.63645.
- SECAT: Quantifying Protein Complex Dynamics across Cell States by Network-Centric Analysis of SEC-SWATH-MS ProfilesRosenberger G, Heusel M, Bludau I, Collins BC, Martelli C, Williams EG, Xue P, Liu Y, Aebersold R, Califano A. SECAT: Quantifying Protein Complex Dynamics across Cell States by Network-Centric Analysis of SEC-SWATH-MS Profiles Cell Systems 2020, 11: 589-607.e8. PMID: 33333029, PMCID: PMC8034988, DOI: 10.1016/j.cels.2020.11.006.
- FGF23 contains two distinct high-affinity binding sites enabling bivalent interactions with α-KlothoSuzuki Y, Kuzina E, An SJ, Tome F, Mohanty J, Li W, Lee S, Liu Y, Lax I, Schlessinger J. FGF23 contains two distinct high-affinity binding sites enabling bivalent interactions with α-Klotho Proceedings Of The National Academy Of Sciences Of The United States Of America 2020, 117: 31800-31807. PMID: 33257569, PMCID: PMC7749347, DOI: 10.1073/pnas.2018554117.
- Global and Site-Specific Effect of Phosphorylation on Protein TurnoverWu C, Ba Q, Lu D, Li W, Salovska B, Hou P, Mueller T, Rosenberger G, Gao E, Di Y, Zhou H, Fornasiero EF, Liu Y. Global and Site-Specific Effect of Phosphorylation on Protein Turnover Developmental Cell 2020, 56: 111-124.e6. PMID: 33238149, PMCID: PMC7855865, DOI: 10.1016/j.devcel.2020.10.025.
- Strategies to enable large-scale proteomics for reproducible research.Poulos RC, Hains PG, Shah R, Lucas N, Xavier D, Manda SS, Anees A, Koh JMS, Mahboob S, Wittman M, Williams SG, Sykes EK, Hecker M, Dausmann M, Wouters MA, Ashman K, Yang J, Wild PJ, deFazio A, Balleine RL, Tully B, Aebersold R, Speed TP, Liu Y, Reddel RR, Robinson PJ, Zhong Q. Strategies to enable large-scale proteomics for reproducible research. Nature Communications 2020, 11: 3793. PMID: 32732981, PMCID: PMC7393074, DOI: 10.1038/s41467-020-17641-3.
- NAguideR: performing and prioritizing missing value imputations for consistent bottom-up proteomic analysesWang S, Li W, Hu L, Cheng J, Yang H, Liu Y. NAguideR: performing and prioritizing missing value imputations for consistent bottom-up proteomic analyses Nucleic Acids Research 2020, 48: gkaa498-. PMID: 32526036, PMCID: PMC7641313, DOI: 10.1093/nar/gkaa498.
- Multi-in-One: Multiple-Proteases, One-Hour-Shot Strategy for Fast and High-Coverage Phosphoproteomic InvestigationGao X, Li Q, Liu Y, Zeng R. Multi-in-One: Multiple-Proteases, One-Hour-Shot Strategy for Fast and High-Coverage Phosphoproteomic Investigation Analytical Chemistry 2020, 92: 8943-8951. PMID: 32479063, DOI: 10.1021/acs.analchem.0c00906.
- Selection of Features with Consistent Profiles Improves Relative Protein Quantification in Mass Spectrometry Experiments.Tsai TH, Choi M, Banfai B, Liu Y, MacLean BX, Dunkley T, Vitek O. Selection of Features with Consistent Profiles Improves Relative Protein Quantification in Mass Spectrometry Experiments. Molecular & Cellular Proteomics : MCP 2020, 19: 944-959. PMID: 33451714, DOI: 10.1074/mcp.RA119.001792.
- Selection of Features with Consistent Profiles Improves Relative Protein Quantification in Mass Spectrometry Experiments*Tsai TH, Choi M, Banfai B, Liu Y, MacLean B, Dunkley T, Vitek O. Selection of Features with Consistent Profiles Improves Relative Protein Quantification in Mass Spectrometry Experiments* Molecular & Cellular Proteomics 2020, 19: 944-959. PMID: 32234965, PMCID: PMC7261813, DOI: 10.1074/mcp.ra119.001792.
- Isoform‐resolved correlation analysis between mRNA abundance regulation and protein level degradationSalovska B, Zhu H, Gandhi T, Frank M, Li W, Rosenberger G, Wu C, Germain P, Zhou H, Hodny Z, Reiter L, Liu Y. Isoform‐resolved correlation analysis between mRNA abundance regulation and protein level degradation Molecular Systems Biology 2020, 16: e9170. PMID: 32175694, PMCID: PMC7073818, DOI: 10.15252/msb.20199170.
- Germ‐free and microbiota‐associated mice yield small intestinal epithelial organoids with equivalent and robust transcriptome/proteome expression phenotypesHausmann A, Russo G, Grossmann J, Zünd M, Schwank G, Aebersold R, Liu Y, Sellin ME, Hardt W. Germ‐free and microbiota‐associated mice yield small intestinal epithelial organoids with equivalent and robust transcriptome/proteome expression phenotypes Cellular Microbiology 2020, 22: e13191. PMID: 32068945, PMCID: PMC7317401, DOI: 10.1111/cmi.13191.
- A Global Screen for Assembly State Changes of the Mitotic Proteome by SEC-SWATH-MSHeusel M, Frank M, Köhler M, Amon S, Frommelt F, Rosenberger G, Bludau I, Aulakh S, Linder MI, Liu Y, Collins BC, Gstaiger M, Kutay U, Aebersold R. A Global Screen for Assembly State Changes of the Mitotic Proteome by SEC-SWATH-MS Cell Systems 2020, 10: 133-155.e6. PMID: 32027860, PMCID: PMC7042714, DOI: 10.1016/j.cels.2020.01.001.
- motifeR: An Integrated Web Software for Identification and Visualization of Protein Posttranslational Modification MotifsWang S, Cai Y, Cheng J, Li W, Liu Y, Yang H. motifeR: An Integrated Web Software for Identification and Visualization of Protein Posttranslational Modification Motifs Proteomics 2019, 19: e1900245. PMID: 31622013, DOI: 10.1002/pmic.201900245.
- Breast Cancer Classification Based on Proteotypes Obtained by SWATH Mass SpectrometryBouchal P, Schubert OT, Faktor J, Capkova L, Imrichova H, Zoufalova K, Paralova V, Hrstka R, Liu Y, Ebhardt HA, Budinska E, Nenutil R, Aebersold R. Breast Cancer Classification Based on Proteotypes Obtained by SWATH Mass Spectrometry Cell Reports 2019, 28: 832-843.e7. PMID: 31315058, PMCID: PMC6656695, DOI: 10.1016/j.celrep.2019.06.046.
- Combining Rapid Data Independent Acquisition and CRISPR Gene Deletion for Studying Potential Protein Functions: A Case of HMGN1Mehnert M, Li W, Wu C, Salovska B, Liu Y. Combining Rapid Data Independent Acquisition and CRISPR Gene Deletion for Studying Potential Protein Functions: A Case of HMGN1 Proteomics 2019, 19: e1800438. PMID: 30901150, DOI: 10.1002/pmic.201800438.
- Capillary zone electrophoresis-tandem mass spectrometry with ultraviolet photodissociation (213 nm) for large-scale top–down proteomicsMcCool EN, Chen D, Li W, Liu Y, Sun L. Capillary zone electrophoresis-tandem mass spectrometry with ultraviolet photodissociation (213 nm) for large-scale top–down proteomics Analytical Methods 2019, 11: 2855-2861. PMID: 31608127, PMCID: PMC6788745, DOI: 10.1039/c9ay00585d.
- Comparative analysis of mRNA and protein degradation in prostate tissues indicates high stability of proteins.Shao W, Guo T, Toussaint NC, Xue P, Wagner U, Li L, Charmpi K, Zhu Y, Wu J, Buljan M, Sun R, Rutishauser D, Hermanns T, Fankhauser CD, Poyet C, Ljubicic J, Rupp N, Rüschoff JH, Zhong Q, Beyer A, Ji J, Collins BC, Liu Y, Rätsch G, Wild PJ, Aebersold R. Comparative analysis of mRNA and protein degradation in prostate tissues indicates high stability of proteins. Nature Communications 2019, 10: 2524. PMID: 31175306, PMCID: PMC6555818, DOI: 10.1038/s41467-019-10513-5.
- Assessing the Relationship Between Mass Window Width and Retention Time Scheduling on Protein Coverage for Data-Independent AcquisitionLi W, Chi H, Salovska B, Wu C, Sun L, Rosenberger G, Liu Y. Assessing the Relationship Between Mass Window Width and Retention Time Scheduling on Protein Coverage for Data-Independent Acquisition Journal Of The American Society For Mass Spectrometry 2019, 30: 1396-1405. PMID: 31147889, DOI: 10.1007/s13361-019-02243-1.
- Multi-omic measurements of heterogeneity in HeLa cells across laboratoriesLiu Y, Mi Y, Mueller T, Kreibich S, Williams EG, Van Drogen A, Borel C, Frank M, Germain PL, Bludau I, Mehnert M, Seifert M, Emmenlauer M, Sorg I, Bezrukov F, Bena FS, Zhou H, Dehio C, Testa G, Saez-Rodriguez J, Antonarakis SE, Hardt WD, Aebersold R. Multi-omic measurements of heterogeneity in HeLa cells across laboratories Nature Biotechnology 2019, 37: 314-322. PMID: 30778230, DOI: 10.1038/s41587-019-0037-y.
- Proximity-enhanced SuFEx chemical cross-linker for specific and multitargeting cross-linking mass spectrometry.Yang B, Wu H, Schnier PD, Liu Y, Liu J, Wang N, DeGrado WF, Wang L. Proximity-enhanced SuFEx chemical cross-linker for specific and multitargeting cross-linking mass spectrometry. Proceedings Of The National Academy Of Sciences Of The United States Of America 2018, 115: 11162-11167. PMID: 30322930, PMCID: PMC6217395, DOI: 10.1073/pnas.1813574115.
- Separation of blood microsamples by exploiting sedimentation at the microscaleForchelet D, Béguin S, Sajic T, Bararpour N, Pataky Z, Frias M, Grabherr S, Augsburger M, Liu Y, Charnley M, Déglon J, Aebersold R, Thomas A, Renaud P. Separation of blood microsamples by exploiting sedimentation at the microscale Scientific Reports 2018, 8: 14101. PMID: 30237536, PMCID: PMC6147834, DOI: 10.1038/s41598-018-32314-4.
- Systems pharmacology using mass spectrometry identifies critical response nodes in prostate cancerEbhardt HA, Root A, Liu Y, Gauthier NP, Sander C, Aebersold R. Systems pharmacology using mass spectrometry identifies critical response nodes in prostate cancer Npj Systems Biology And Applications 2018, 4: 26. PMID: 29977602, PMCID: PMC6026592, DOI: 10.1038/s41540-018-0064-1.
- Similarities and Differences of Blood N-Glycoproteins in Five Solid Carcinomas at Localized Clinical Stage Analyzed by SWATH-MSSajic T, Liu Y, Arvaniti E, Surinova S, Williams EG, Schiess R, Hüttenhain R, Sethi A, Pan S, Brentnall TA, Chen R, Blattmann P, Friedrich B, Niméus E, Malander S, Omlin A, Gillessen S, Claassen M, Aebersold R. Similarities and Differences of Blood N-Glycoproteins in Five Solid Carcinomas at Localized Clinical Stage Analyzed by SWATH-MS Cell Reports 2018, 23: 2819-2831.e5. PMID: 29847809, DOI: 10.1016/j.celrep.2018.04.114.
- Systematic proteome and proteostasis profiling in human Trisomy 21 fibroblast cellsLiu Y, Borel C, Li L, Müller T, Williams EG, Germain PL, Buljan M, Sajic T, Boersema PJ, Shao W, Faini M, Testa G, Beyer A, Antonarakis SE, Aebersold R. Systematic proteome and proteostasis profiling in human Trisomy 21 fibroblast cells Nature Communications 2017, 8: 1212. PMID: 29089484, PMCID: PMC5663699, DOI: 10.1038/s41467-017-01422-6.
- Multi-laboratory assessment of reproducibility, qualitative and quantitative performance of SWATH-mass spectrometryCollins BC, Hunter CL, Liu Y, Schilling B, Rosenberger G, Bader SL, Chan DW, Gibson BW, Gingras AC, Held JM, Hirayama-Kurogi M, Hou G, Krisp C, Larsen B, Lin L, Liu S, Molloy MP, Moritz RL, Ohtsuki S, Schlapbach R, Selevsek N, Thomas SN, Tzeng SC, Zhang H, Aebersold R. Multi-laboratory assessment of reproducibility, qualitative and quantitative performance of SWATH-mass spectrometry Nature Communications 2017, 8: 291. PMID: 28827567, PMCID: PMC5566333, DOI: 10.1038/s41467-017-00249-5.
- Statistical control of peptide and protein error rates in large-scale targeted data-independent acquisition analysesRosenberger G, Bludau I, Schmitt U, Heusel M, Hunter CL, Liu Y, MacCoss MJ, MacLean BX, Nesvizhskii AI, Pedrioli PGA, Reiter L, Röst HL, Tate S, Ting YS, Collins BC, Aebersold R. Statistical control of peptide and protein error rates in large-scale targeted data-independent acquisition analyses Nature Methods 2017, 14: 921-927. PMID: 28825704, PMCID: PMC5581544, DOI: 10.1038/nmeth.4398.
- Impact of Alternative Splicing on the Human ProteomeLiu Y, Gonzàlez-Porta M, Santos S, Brazma A, Marioni JC, Aebersold R, Venkitaraman AR, Wickramasinghe VO. Impact of Alternative Splicing on the Human Proteome Cell Reports 2017, 20: 1229-1241. PMID: 28768205, PMCID: PMC5554779, DOI: 10.1016/j.celrep.2017.07.025.
- Protein kinase D at the Golgi controls NLRP3 inflammasome activationZhang Z, Meszaros G, He WT, Xu Y, de Fatima Magliarelli H, Mailly L, Mihlan M, Liu Y, Gámez M, Goginashvili A, Pasquier A, Bielska O, Neven B, Quartier P, Aebersold R, Baumert TF, Georgel P, Han J, Ricci R. Protein kinase D at the Golgi controls NLRP3 inflammasome activation Journal Of Experimental Medicine 2017, 214: 2671-2693. PMID: 28716882, PMCID: PMC5584123, DOI: 10.1084/jem.20162040.
- Inference and quantification of peptidoforms in large sample cohorts by SWATH-MSRosenberger G, Liu Y, Röst HL, Ludwig C, Buil A, Bensimon A, Soste M, Spector TD, Dermitzakis ET, Collins BC, Malmström L, Aebersold R. Inference and quantification of peptidoforms in large sample cohorts by SWATH-MS Nature Biotechnology 2017, 35: 781-788. PMID: 28604659, PMCID: PMC5593115, DOI: 10.1038/nbt.3908.
- A Class of Environmental and Endogenous Toxins Induces BRCA2 Haploinsufficiency and Genome InstabilityTan SLW, Chadha S, Liu Y, Gabasova E, Perera D, Ahmed K, Constantinou S, Renaudin X, Lee M, Aebersold R, Venkitaraman AR. A Class of Environmental and Endogenous Toxins Induces BRCA2 Haploinsufficiency and Genome Instability Cell 2017, 169: 1105-1118.e15. PMID: 28575672, PMCID: PMC5457488, DOI: 10.1016/j.cell.2017.05.010.
- Comparison of targeted proteomics approaches for detecting and quantifying proteins derived from human cancer tissuesFaktor J, Sucha R, Paralova V, Liu Y, Bouchal P. Comparison of targeted proteomics approaches for detecting and quantifying proteins derived from human cancer tissues Proteomics 2017, 17: 1600323. PMID: 27966270, DOI: 10.1002/pmic.201600323.
- Shotgun and Targeted Plasma Proteomics to Predict Prognosis of Non-Small Cell Lung Cancer.Li QR, Liu YS, Zeng R. Shotgun and Targeted Plasma Proteomics to Predict Prognosis of Non-Small Cell Lung Cancer. Methods In Molecular Biology (Clifton, N.J.) 2017, 1619: 385-394. PMID: 28674898, DOI: 10.1007/978-1-4939-7057-5_26.
- Deep Phosphoproteomic Measurements Pinpointing Drug Induced Protective Mechanisms in Neuronal CellsYu C, Gao J, Zhou Y, Chen X, Xiao R, Zheng J, Liu Y, Zhou H. Deep Phosphoproteomic Measurements Pinpointing Drug Induced Protective Mechanisms in Neuronal Cells Frontiers In Physiology 2016, 7: 635. PMID: 28066266, PMCID: PMC5179568, DOI: 10.3389/fphys.2016.00635.
- TRIC: an automated alignment strategy for reproducible protein quantification in targeted proteomicsRöst HL, Liu Y, D'Agostino G, Zanella M, Navarro P, Rosenberger G, Collins BC, Gillet L, Testa G, Malmström L, Aebersold R. TRIC: an automated alignment strategy for reproducible protein quantification in targeted proteomics Nature Methods 2016, 13: 777-783. PMID: 27479329, PMCID: PMC5008461, DOI: 10.1038/nmeth.3954.
- Image-based computational quantification and visualization of genetic alterations and tumour heterogeneityZhong Q, Rüschoff JH, Guo T, Gabrani M, Schüffler PJ, Rechsteiner M, Liu Y, Fuchs TJ, Rupp NJ, Fankhauser C, Buhmann JM, Perner S, Poyet C, Blattner M, Soldini D, Moch H, Rubin MA, Noske A, Rüschoff J, Haffner MC, Jochum W, Wild PJ. Image-based computational quantification and visualization of genetic alterations and tumour heterogeneity Scientific Reports 2016, 6: 24146. PMID: 27052161, PMCID: PMC4823793, DOI: 10.1038/srep24146.
- On the Dependency of Cellular Protein Levels on mRNA AbundanceLiu Y, Beyer A, Aebersold R. On the Dependency of Cellular Protein Levels on mRNA Abundance Cell 2016, 165: 535-550. PMID: 27104977, DOI: 10.1016/j.cell.2016.03.014.
- The interdependence of transcript and protein abundance: new data–new complexitiesLiu Y, Aebersold R. The interdependence of transcript and protein abundance: new data–new complexities Molecular Systems Biology 2016, 12: 856. PMID: 26792872, PMCID: PMC4731012, DOI: 10.15252/msb.20156720.
- Multiplexed Targeted Mass Spectrometry-Based Assays for the Quantification of N‑Linked Glycosite-Containing Peptides in SerumThomas SN, Harlan R, Chen J, Aiyetan P, Liu Y, Sokoll LJ, Aebersold R, Chan DW, Zhang H. Multiplexed Targeted Mass Spectrometry-Based Assays for the Quantification of N‑Linked Glycosite-Containing Peptides in Serum Analytical Chemistry 2015, 87: 10830-10838. PMID: 26451657, PMCID: PMC4708883, DOI: 10.1021/acs.analchem.5b02063.
- Prediction of colorectal cancer diagnosis based on circulating plasma proteinsSurinova S, Choi M, Tao S, Schüffler PJ, Chang CY, Clough T, Vysloužil K, Khoylou M, Srovnal J, Liu Y, Matondo M, Hüttenhain R, Weisser H, Buhmann JM, Hajdúch M, Brenner H, Vitek O, Aebersold R. Prediction of colorectal cancer diagnosis based on circulating plasma proteins EMBO Molecular Medicine 2015, 7: 1166-1178. PMID: 26253081, PMCID: PMC4568950, DOI: 10.15252/emmm.201404873.
- Using data‐independent, high‐resolution mass spectrometry in protein biomarker research: Perspectives and clinical applicationsSajic T, Liu Y, Aebersold R. Using data‐independent, high‐resolution mass spectrometry in protein biomarker research: Perspectives and clinical applications Proteomics Clinical Applications 2015, 9: 307-321. PMID: 25504613, DOI: 10.1002/prca.201400117.
- Quantitative variability of 342 plasma proteins in a human twin populationLiu Y, Buil A, Collins BC, Gillet L, Blum LC, Cheng LY, Vitek O, Mouritsen J, Lachance G, Spector TD, Dermitzakis ET, Aebersold R. Quantitative variability of 342 plasma proteins in a human twin population Molecular Systems Biology 2015, 11: 786. PMID: 25652787, PMCID: PMC4358658, DOI: 10.15252/msb.20145728.
- Statistical elimination of spectral features with large between-run variation enhances quantitative protein-level conclusions in experiments with data-independent spectral acquisitionCheng L, Liu Y, Chang C, Röst H, Aebersold R, Vitek O. Statistical elimination of spectral features with large between-run variation enhances quantitative protein-level conclusions in experiments with data-independent spectral acquisition BMC Bioinformatics 2015, 16: a4. PMCID: PMC4331794, DOI: 10.1186/1471-2105-16-s2-a4.
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- Glycoproteomic Analysis of Prostate Cancer Tissues by SWATH Mass Spectrometry Discovers N-acylethanolamine Acid Amidase and Protein Tyrosine Kinase 7 as Signatures for Tumor Aggressiveness*Liu Y, Chen J, Sethi A, Li QK, Chen L, Collins B, Gillet LC, Wollscheid B, Zhang H, Aebersold R. Glycoproteomic Analysis of Prostate Cancer Tissues by SWATH Mass Spectrometry Discovers N-acylethanolamine Acid Amidase and Protein Tyrosine Kinase 7 as Signatures for Tumor Aggressiveness* Molecular & Cellular Proteomics 2014, 13: 1753-1768. PMID: 24741114, PMCID: PMC4083113, DOI: 10.1074/mcp.m114.038273.
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- Shotgun and targeted proteomics reveal that pre-surgery serum levels of LRG1, SAA, and C4BP may refine prognosis of resected squamous cell lung cancer.Liu YS, Luo XY, Li QR, Li H, Li C, Ni H, Li RX, Wang R, Hu HC, Pan YJ, Chen HQ, Zeng R. Shotgun and targeted proteomics reveal that pre-surgery serum levels of LRG1, SAA, and C4BP may refine prognosis of resected squamous cell lung cancer. Journal Of Molecular Cell Biology 2012, 4: 344-7. PMID: 23042802, DOI: 10.1093/jmcb/mjs050.
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- Proteomic mining in the dysplastic liver of WHV/c‐myc mice – insights and indicators for early hepatocarcinogenesisLiu Y, Li C, Xing Z, Yuan X, Wu Y, Xu M, Tu K, Li Q, Wu C, Zhao M, Zeng R. Proteomic mining in the dysplastic liver of WHV/c‐myc mice – insights and indicators for early hepatocarcinogenesis The FEBS Journal 2010, 277: 4039-4053. PMID: 20807235, DOI: 10.1111/j.1742-4658.2010.07795.x.
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