m+Medelevator.RU
← Поиск публикаций
Nature communications · 2026

IDBac: an open-access web platform to identify bacteria and analyze relationships in culture collections using MALDI-TOF mass spectrometry.

СтатьяНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…

История · было → стало

Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.

Krull Nyssa K, Strobel Michael, Saulog Julia, Zaroubi Liana, Paulo Bruno S, Timba Mandisa, Braun Douglas R, Mingolelli Gabrielle, Raherisoanjato Jessia, Shepherd Robert A, Scott Abigail F, De Silva Carlo, Fergusson Claire, Daniel Zachary, Pokharel Shailaja K, Romanowski Sean, Hernandez Antonio, Monge-Loría Mónica, Dylla Claire E, Natu Manasi M, Petukhova Valentina Z, Clark Chase M, Garg Neha, Jensen Paul R, Blachowicz Adriana, Cassilly Chelsi D, Guan Lisa, Stevens D Cole, Winter Jaclyn M, McKinnie Shaun M K, Adaikpoh Barbara I, Carlson Skylar, McCauley Erin P, Metcalf William W, Bugni Tim S, Mullowney Michael W, Pamer Eric G, Henke Matthew T, Barton Hazel, Carter David O, Eustáquio Alessandra S, Linington Roger G, Sanchez Laura M, Wang Mingxun, Murphy Brian T

Аннотация

The identification and analysis of bacteria is central to the microbiological sciences. While gene sequencing methods have been the standard to achieve this, use of MALDI-TOF mass spectrometry (MS), particularly in clinical microbiology, can provide high-throughput identification to the subspecies level. However, biotyping has yet to be adopted outside of clinical settings due to the lack of a centralized public database of MS protein signatures that would facilitate isolate identification via spectral comparison. Further, most current MALDI MS data analysis platforms lack meaningful ways to compare properties from large numbers of bacterial isolates. Herein we present the IDBac web platform, a crowd-sourced central knowledgebase of protein MS signatures spanning seven bacterial phyla. Accompanying the knowledgebase is analysis infrastructure to identify unknown isolates, probe relationships within culture collections using metadata integration, and visualize specialized metabolite differences within groups of closely related bacteria. To highlight this utility and encourage wide community contribution, examples of each are presented.

Предметные рубрики MeSH

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты