Author

Ting Zhai

Harvard UniversityORCID 0000-0002-8763-1387Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Molecular Biology· 1 Neuroscience· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Approach:statistical model· 3 Research Focus:differential expression· 2 Assay:proteomics· 2 Research Focus:gene regulatory network inference· 1 Assay:long-read sequencing· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Michael P. SnyderiD· 2 shared Amal Al-Rajhi· 1 shared Ana Cheong· 1 shared Anika Akkiraju· 1 shared Anthony Agudelo· 1 shared Daniel J. LavertyiD· 1 shared David FurmaniD· 1 shared Divya Channappa· 1 shared

Activity by Year

2026-2026 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 23 mutual co-author links

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2 shared papersNeuroscience

Michael P. SnyderORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Plasma proteomics reveals divergent sex-specific senescence and bone biology signatures across neurodegenerative diseases

Siddharth Kaipa, Ting Zhai, Sai Rama Krishna Meka, Patricia Morán Losada, Zihuai He, Divya Channappa, Hamilton Se‐Hwee Oh, Jarod Rutledge, Michael Zeineh, Anthony Agudelo, Ramesh V. Nair, Edward N. Wilson, Mounica Bandela, Keerthana Raghuraman, Amal Al-Rajhi, , Vidyani Suryadevara

This study identifies sex-specific changes in bone and senescence-related proteins in neurodegenerative diseases using plasma proteomics.

bioRxiv · May 27, 2026 · PreprintNeuroscience

MSIanalyzer: Targeted Nanopore Sequencing Enables Single Nucleotide Resolution Analysis of Microsatellite Instability Diversity

Ting Zhai, Ana Cheong, Daniel J. Laverty, Zachary David Nagel

MSIanalyzer uses targeted nanopore sequencing to analyze microsatellite instability at single-nucleotide resolution, revealing distinct repeat profiles and allelic diversity in cancer cell lines.

Journal of Molecular Biology · Apr 16, 2026Peer-reviewedMolecular Biology

Quantification of domain-specific intrinsic capacity using mortality data

Matías Fuentealba, Ting Zhai, Saleem Al Dajani, Vadim N. Gladyshev, Michael P. Snyder, David Furman

This study uses UK Biobank data to develop an 18-year mortality risk estimator for domain-specific intrinsic capacity, identifying immune system activation across domains.

bioRxiv · Apr 8, 2026 · PreprintSystems Biology