Author

T. M. Lucas

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Biochemistry· 2 Cancer Biology· 1 Microbiology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Assay:proteomics· 4 Research Focus:cell type annotation· 3 Approach:experimental assay· 3 Research Focus:cell-cell communication· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

K. E. Mahoney· 3 shared S. A. Malaker· 3 shared C. Kwon· 2 shared A. D. Steigmeyer· 1 shared A. S. Battison· 1 shared A. Singharoy· 1 shared C. Gupta· 1 shared C. R. Bertozzi· 1 shared

Activity by Year

2021-2023 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

3 shared papersBiochemistry

K. E. Mahoney

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Optimized mucin-selective enrichment strategy to probe the mucinome

K. E. Mahoney, V. Chang, T. M. Lucas, K. Maruszko, S. A. Malaker

The paper optimizes a mucin-selective enrichment strategy to improve throughput, reduce sample input, and enhance glycopeptide signal for mucinome analysis.

bioRxiv · Dec 18, 2023 · PreprintBiochemistry

False positive glycopeptide identification via in-FAIMS fragmentation

V. Rangel-Angarita, K. E. Mahoney, C. Kwon, R. Sarker, T. M. Lucas, S. A. Malaker

This study identifies a phenomenon called 'in FAIMS fragmentation' that increases spectral matches in glycopeptide analysis, highlighting potential benefits and limitations of FAIMS for O-glycoproteomics.

bioRxiv · May 28, 2023 · PreprintBiochemistry

Glycoproteomic landscape and structural dynamics of TIM family immune checkpoints enabled by mucinase SmE

J. Chongsaritsinsuk, A. D. Steigmeyer, K. E. Mahoney, M. A. Rosenfeld, T. M. Lucas, D. Ince, F. L. Kearns, A. S. Battison, M. A. Hollenhorst, J. Shon, K. H. Tiemeyer, V. Attah, C. Kwon, C. R. Bertozzi, M. J. Ferracane, , S. A. Malaker

The paper uses a mucinase to analyze glycoproteomic features of TIM family proteins and shows how glycosylation affects their structure through molecular dynamics simulations.

bioRxiv · Feb 1, 2023Cancer Biology

Mucin-mimetic glycan arrays integrating machine learning for analyzing receptor pattern recognition by influenza A viruses

T. M. Lucas, C. Gupta, M. O. Altman, E. Sanchez, M. R. Naticchia, P. Gagneux, A. Singharoy, K. Godula

This study uses a glycan array platform with machine learning to analyze how influenza A virus binding preferences change with receptor presentation and viral propagation conditions.

bioRxiv · Apr 17, 2021Microbiology