BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

268 related articles for article (PubMed ID: 35013269)

  • 41. Protein Contaminants Matter: Building Universal Protein Contaminant Libraries for DDA and DIA Proteomics.
    Frankenfield AM; Ni J; Ahmed M; Hao L
    J Proteome Res; 2022 Sep; 21(9):2104-2113. PubMed ID: 35793413
    [TBL] [Abstract][Full Text] [Related]  

  • 42. 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
    Nat Commun; 2020 Jul; 11(1):3793. PubMed ID: 32732981
    [TBL] [Abstract][Full Text] [Related]  

  • 43. dia-PASEF data analysis using FragPipe and DIA-NN for deep proteomics of low sample amounts.
    Demichev V; Szyrwiel L; Yu F; Teo GC; Rosenberger G; Niewienda A; Ludwig D; Decker J; Kaspar-Schoenefeld S; Lilley KS; Mülleder M; Nesvizhskii AI; Ralser M
    Nat Commun; 2022 Jul; 13(1):3944. PubMed ID: 35803928
    [TBL] [Abstract][Full Text] [Related]  

  • 44. Early Cancer Biomarker Discovery Using DIA-MS Proteomic Analysis of EVs from Peripheral Blood.
    Espejo C; Lyons B; Woods GM; Wilson R
    Methods Mol Biol; 2023; 2628():127-152. PubMed ID: 36781783
    [TBL] [Abstract][Full Text] [Related]  

  • 45. A microfluidics-enabled automated workflow of sample preparation for MS-based immunopeptidomics.
    Li X; Pak HS; Huber F; Michaux J; Taillandier-Coindard M; Altimiras ER; Bassani-Sternberg M
    Cell Rep Methods; 2023 Jun; 3(6):100479. PubMed ID: 37426762
    [TBL] [Abstract][Full Text] [Related]  

  • 46. [Advances in high-throughput proteomic analysis].
    Wu Q; Sui X; Tian R
    Se Pu; 2021 Feb; 39(2):112-117. PubMed ID: 34227342
    [TBL] [Abstract][Full Text] [Related]  

  • 47. Extensive and Accurate Benchmarking of DIA Acquisition Methods and Software Tools Using a Complex Proteomic Standard.
    Gotti C; Roux-Dalvai F; Joly-Beauparlant C; Mangnier L; Leclercq M; Droit A
    J Proteome Res; 2021 Oct; 20(10):4801-4814. PubMed ID: 34472865
    [TBL] [Abstract][Full Text] [Related]  

  • 48. Integrated multifunctional microfluidics for automated proteome analyses.
    Osiri JK; Shadpour H; Witek MA; Soper SA
    Top Curr Chem; 2011; 304():261-94. PubMed ID: 21678138
    [TBL] [Abstract][Full Text] [Related]  

  • 49. DIA-NN: neural networks and interference correction enable deep proteome coverage in high throughput.
    Demichev V; Messner CB; Vernardis SI; Lilley KS; Ralser M
    Nat Methods; 2020 Jan; 17(1):41-44. PubMed ID: 31768060
    [TBL] [Abstract][Full Text] [Related]  

  • 50. Coupling suspension trapping-based sample preparation and data-independent acquisition mass spectrometry for sensitive exosomal proteomic analysis.
    Wu C; Zhou S; Mitchell MI; Hou C; Byers S; Loudig O; Ma J
    Anal Bioanal Chem; 2022 Mar; 414(8):2585-2595. PubMed ID: 35181835
    [TBL] [Abstract][Full Text] [Related]  

  • 51. MSLibrarian: Optimized Predicted Spectral Libraries for Data-Independent Acquisition Proteomics.
    Isaksson M; Karlsson C; Laurell T; Kirkeby A; Heusel M
    J Proteome Res; 2022 Feb; 21(2):535-546. PubMed ID: 35042333
    [TBL] [Abstract][Full Text] [Related]  

  • 52. Microfluidics with MALDI analysis for proteomics--a review.
    Lee J; Soper SA; Murray KK
    Anal Chim Acta; 2009 Sep; 649(2):180-90. PubMed ID: 19699392
    [TBL] [Abstract][Full Text] [Related]  

  • 53. High-throughput, in-depth and estimated absolute quantification of plasma proteome using data-independent acquisition/mass spectrometry ("HIAP-DIA").
    Zhou Y; Tan Z; Xue P; Wang Y; Li X; Guan F
    Proteomics; 2021 Mar; 21(5):e2000264. PubMed ID: 33460299
    [TBL] [Abstract][Full Text] [Related]  

  • 54. Robust dimethyl-based multiplex-DIA doubles single-cell proteome depth via a reference channel.
    Thielert M; Itang EC; Ammar C; Rosenberger FA; Bludau I; Schweizer L; Nordmann TM; Skowronek P; Wahle M; Zeng WF; Zhou XX; Brunner AD; Richter S; Levesque MP; Theis FJ; Steger M; Mann M
    Mol Syst Biol; 2023 Sep; 19(9):e11503. PubMed ID: 37602975
    [TBL] [Abstract][Full Text] [Related]  

  • 55. An automated proteomic data analysis workflow for mass spectrometry.
    Pendarvis K; Kumar R; Burgess SC; Nanduri B
    BMC Bioinformatics; 2009 Oct; 10 Suppl 11(Suppl 11):S17. PubMed ID: 19811682
    [TBL] [Abstract][Full Text] [Related]  

  • 56. Advances in coupling microfluidic chips to mass spectrometry.
    Feng X; Liu BF; Li J; Liu X
    Mass Spectrom Rev; 2015; 34(5):535-57. PubMed ID: 24399782
    [TBL] [Abstract][Full Text] [Related]  

  • 57. Acquisition and Analysis of DIA-Based Proteomic Data: A Comprehensive Survey in 2023.
    Lou R; Shui W
    Mol Cell Proteomics; 2024 Feb; 23(2):100712. PubMed ID: 38182042
    [TBL] [Abstract][Full Text] [Related]  

  • 58. Sensitive Immunopeptidomics by Leveraging Available Large-Scale Multi-HLA Spectral Libraries, Data-Independent Acquisition, and MS/MS Prediction.
    Pak H; Michaux J; Huber F; Chong C; Stevenson BJ; Müller M; Coukos G; Bassani-Sternberg M
    Mol Cell Proteomics; 2021; 20():100080. PubMed ID: 33845167
    [TBL] [Abstract][Full Text] [Related]  

  • 59. Rapid and In-Depth Coverage of the (Phospho-)Proteome With Deep Libraries and Optimal Window Design for dia-PASEF.
    Skowronek P; Thielert M; Voytik E; Tanzer MC; Hansen FM; Willems S; Karayel O; Brunner AD; Meier F; Mann M
    Mol Cell Proteomics; 2022 Sep; 21(9):100279. PubMed ID: 35944843
    [TBL] [Abstract][Full Text] [Related]  

  • 60. Assessing the Relationship Between Mass Window Width and Retention Time Scheduling on Protein Coverage for Data-Independent Acquisition.
    Li W; Chi H; Salovska B; Wu C; Sun L; Rosenberger G; Liu Y
    J Am Soc Mass Spectrom; 2019 Aug; 30(8):1396-1405. PubMed ID: 31147889
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 14.