Evidence map›Paper›PMID 40501929›Full record

ArticlebioRxiv : the preprint server for biology2025

TITAN-RNA: A hybrid-capture sequencing panel detects known and unknown

Chloe M Murrell, Aiman Sabaawy, Xiyu Wang, Nagi Hashimoto, Kristina Ceres, Yining Sun, Jordan D Zehr, Aine Lehane, Emily Mader, Natalie Bailey and 18 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

28 authors.

Chloe M MurrellDepartment of Public and Ecosystem Health, Cornell University College of Veterinary Medicine, Ithaca, NY, 14853, USA.ORCID 0000-0002-2864-6079
Aiman SabaawyDepartment of Public and Ecosystem Health, Cornell University College of Veterinary Medicine, Ithaca, NY, 14853, USA.ORCID 0009-0002-0254-3394
Xiyu WangDepartment of Public and Ecosystem Health, Cornell University College of Veterinary Medicine, Ithaca, NY, 14853, USA.ORCID 0009-0007-1673-6046
Nagi HashimotoJames A. Baker Institute for Animal Health, Cornell University College of Veterinary Medicine, Ithaca, NY, 14853, USA.ORCID 0009-0008-1434-8434
Kristina CeresJames A. Baker Institute for Animal Health, Cornell University College of Veterinary Medicine, Ithaca, NY, 14853, USA.ORCID 0000-0002-6682-0031
Yining SunDepartment of Public and Ecosystem Health, Cornell University College of Veterinary Medicine, Ithaca, NY, 14853, USA.
Jordan D ZehrDepartment of Public and Ecosystem Health, Cornell University College of Veterinary Medicine, Ithaca, NY, 14853, USA.ORCID 0000-0003-2099-4172
Aine LehaneDepartment of Entomology, Cornell University, Ithaca, NY, 14853, USA.
Emily MaderDepartment of Entomology, Cornell University, Ithaca, NY, 14853, USA.
Natalie BaileyDepartment of Entomology, Cornell University, Ithaca, NY, 14853, USA.
Marie V LillyDepartment of Ecology, Evolution, and Environmental Biology, Columbia University, NYC, NY, 14853, USA.
Laura PlimptonDepartment of Ecology, Evolution, and Environmental Biology, Columbia University, NYC, NY, 14853, USA.
Guillaume ReboulDepartment of Public and Ecosystem Health, Cornell University College of Veterinary Medicine, Ithaca, NY, 14853, USA.ORCID 0000-0002-6424-5176
Joel J BrownDepartment of Public and Ecosystem Health, Cornell University College of Veterinary Medicine, Ithaca, NY, 14853, USA.ORCID 0000-0002-3608-6745
Kelly SamsDepartment of Public and Ecosystem Health, Cornell University College of Veterinary Medicine, Ithaca, NY, 14853, USA.
Lauren SinghDepartment of Public and Ecosystem Health, Cornell University College of Veterinary Medicine, Ithaca, NY, 14853, USA.
Ethan SeizDepartment of Public and Ecosystem Health, Cornell University College of Veterinary Medicine, Ithaca, NY, 14853, USA.
Ellie BourgikosYale School of Public Health, Department of Epidemiology of Microbial Diseases, New Haven, CT 06510, USA.
Chantal B F VogelsYale School of Public Health, Department of Epidemiology of Microbial Diseases, New Haven, CT 06510, USA.ORCID 0000-0003-0027-6480
Alexander T CiotaNew York State Department of Health, Wadsworth Center.ORCID 0000-0001-6589-4728
Victoria SchnurrNew York State Department of Health, Wadsworth Center.
Jennifer GrenierInstitute of Biotechnology, Cornell University, Ithaca, NY, 14853, USA.
Xavier BerthetInstitut Pasteur de Dakar, Dakar, Senegal.
Ana I BentoDepartment of Public and Ecosystem Health, Cornell University College of Veterinary Medicine, Ithaca, NY, 14853, USA.
Laura HarringtonDepartment of Entomology, Cornell University, Ithaca, NY, 14853, USA.ORCID 0000-0002-2143-2051
Maria Diuk-WasserDepartment of Ecology, Evolution, and Environmental Biology, Columbia University, NYC, NY, 14853, USA.ORCID 0000-0001-8809-3050
Ximena Olarte-CastilloDepartment of Public and Ecosystem Health, Cornell University College of Veterinary Medicine, Ithaca, NY, 14853, USA.
Laura B GoodmanDepartment of Public and Ecosystem Health, Cornell University College of Veterinary Medicine, Ithaca, NY, 14853, USA.ORCID 0000-0002-8327-3092

Funding

Project 2 - Center for Transformative Infectious Disease Research on Climate, Health and Equity in a Changing Environment (C-CHANGE)P20AI186093 · NIAID · CORNELL UNIVERSITY · PI Genevive Meredith · 2024 to 2026
$4.8M
NCEZID CDC HHS U01 CK000633NIAID NIH HHS P20 AI186093
6 · The paper itself

Abstract

Clinical testing and public health surveillance can be significantly improved by incorporating sequencing-based molecular detection and subtyping for real-time monitoring of virus evolution. With phylogenetic analysis used for speciation and variant subtyping, target analyte specificity can be relaxed well beyond typical parameters acceptable in PCR-based diagnostics. Hybrid capture is a promising way to enrich large numbers of sequences with maximal flexibility, using standard molecular biology laboratory equipment and small benchtop sequencers. Here, we report the development and bench validation of a hybrid capture based next-generation sequencing diagnostic panel for all known viral tick-borne pathogens, TITAN-RNA. Based on systematic testing with simulated novel viruses and field samples, we determined a 10% tolerance for evenly distributed mutations or 27% tolerance for naturally occurring viral divergence. The TITAN-RNA extrapolated limit of detection in blood is 19.1 genome copies by complementary log-log analysis, and linearity performance (R

Identifiers

PMID40501929
PMCPMC12157608

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.