ArticleMethods in molecular biology (Clifton, N.J.)2027
Analysis of Metabolomics Response to Tick Saliva in Human Cells.
Article in Methods in molecular biology (Clifton, N.J.), 2027. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This chapter describes a workflow for the analysis of the metabolomic response of the human basophilic cell line KU812 exposed to Ixodes ricinus tick saliva using ¹H-nuclear magnetic resonance (NMR) spectroscopy. The protocol includes procedures for cell culture, harvesting, washing, and metabolite extraction, followed by the separation of aqueous and lipid fractions. Detailed instructions for sample preparation and NMR data acquisition are provided for both fractions. Spectral processing and metabolite quantification are performed using targeted profiling approaches based on constrained line-shape fitting, enabling accurate analysis of complex biological samples. Metabolite identification is supported by spectral databases and literature references, and absolute concentrations are obtained using internal standard-based quantification methods. Finally, data normalization based on cell number ensures comparability across samples. Overall, this protocol provides a robust and reproducible strategy for investigating metabolic alterations induced by tick saliva in human cells.
Indexed as
Identifiers
42918982What OpenQuestion holds
Registered trials
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.