SwePub
Sök i LIBRIS databas

  Utökad sökning

id:"swepub:oai:DiVA.org:umu-154351"
 

Sökning: id:"swepub:oai:DiVA.org:umu-154351" > OnPLS-Based Multi-B...

OnPLS-Based Multi-Block Data Integration : A Multivariate Approach to Interrogating Biological Interactions in Asthma

Reinke, Stacey N. (författare)
Galindo-Prieto, Beatriz (författare)
Umeå universitet,Kemiska institutionen
Skotare, Tomas (författare)
Umeå universitet,Kemiska institutionen
visa fler...
Broadhurst, David I. (författare)
Singhania, Akul (författare)
Horowitz, Daniel (författare)
Djukanovic, Ratko (författare)
Hinks, Timothy S. C. (författare)
Geladi, Paul (författare)
Swedish University of Agricultural Sciences,Sveriges lantbruksuniversitet,Skogens biomaterial och teknologi,Department of Forest Biomaterials and Technology
Trygg, Johan (författare)
Umeå universitet,Kemiska institutionen
Wheelock, Craig E. (författare)
Karolinska Institutet
visa färre...
 (creator_code:org_t)
 
2018-10-18
2018
Engelska.
Ingår i: Analytical Chemistry. - : AMER CHEMICAL SOC. - 0003-2700 .- 1520-6882. ; 90:22, s. 13400-13408
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
Stäng  
  • Integration of multiomics data remains a key challenge in fulfilling the potential of comprehensive systems biology. Multiple-block orthogonal projections to latent structures (OnPLS) is a Multi projection method that simultaneously models multiple data matrices, reducing feature space without relying on a priori biological knowledge. In order to improve the interpretability of OnPLS models, the associated multi-block variable influence on orthogonal projections (MB-VIOP) method is used to identify variables with the highest contribution to the model. This study combined OnPLS and MB-VIOP with interactive visualization methods to interrogate an exemplar multiomics study, using a subset of 22 individuals from an asthma cohort. Joint data structure in six data blocks was assessed: transcriptomics; metabolomics; targeted assays for sphingolipids, oxylipins, and fatty acids; and a clinical block including lung function, immune cell differentials, and cytokines. The model identified seven components, two of which had contributions from all blocks (globally joint structure) and five that had contributions from two to five blocks (locally joint structure). Components 1 and 2 were the most informative, identifying differences between healthy controls and asthmatics and a disease sex interaction, respectively. The interactions between features selected by MB-VIOP were visualized using chord plots, yielding putative novel insights into asthma disease pathogenesis, the effects of asthma treatment, and biological roles of uncharacterized genes. For example, the gene ATP6 V1G1, which has been implicated in osteoporosis, correlated with metabolites that are dysregulated by inhaled corticoid steroids (ICS), providing insight into the mechanisms underlying bone density loss in asthma patients taking ICS. These results show the potential for OnPLS, combined with MB-VIOP variable selection and interaction visualization techniques, to generate hypotheses from multiomics studies and inform biology.

Ämnesord

NATURVETENSKAP  -- Kemi -- Analytisk kemi (hsv//swe)
NATURAL SCIENCES  -- Chemical Sciences -- Analytical Chemistry (hsv//eng)
NATURVETENSKAP  -- Biologi -- Bioinformatik och systembiologi (hsv//swe)
NATURAL SCIENCES  -- Biological Sciences -- Bioinformatics and Systems Biology (hsv//eng)

Publikations- och innehållstyp

ref (ämneskategori)
art (ämneskategori)

Hitta via bibliotek

Till lärosätets databas

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

 
pil uppåt Stäng

Kopiera och spara länken för att återkomma till aktuell vy