Fusion of genomic, proteomic and phenotypic data: the case of potyviruses

Folch-Fortuny, Abel; Bosque, Gabriel; Picó, Jesús; Ferrer, Alberto; Elena, Santiago F.

doi:10.1039/c5mb00507h

Cited by 2 publications

(1 citation statement)

References 34 publications

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“…Lipidomics, together with genomics, transcriptomics, and proteomics, can give new biological insights and reveal novel metabolic pathways [12,13,14,15,16,17]. As an '-omics' field, lipidomics is the approach of choice to understanding lipid biology [12,18,19,20].…”

Section: Introductionmentioning

confidence: 99%

Lipidomics of human adipose tissue reveals diversity between body areas

et al. 2020

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Background and aims Adipose tissue plays a pivotal role in storing excess fat and its composition reflects the history of person's lifestyle and metabolic health. Broad profiling of lipids with mass spectrometry has potential for uncovering new knowledge on the pathology of obesity, metabolic syndrome, diabetes and other related conditions. Here, we developed a lipidomic method for analyzing human subcutaneous adipose biopsies. We applied the method to four body areas to understand the differences in lipid composition between these areas. Materials and methods Adipose tissue biopsies from 10 participants were analyzed using ultra-high-performance liquid chromatography coupled to quadrupole time-of-flight mass spectrometry. The sample preparation optimization included the optimization of the lipid extraction, the sample amount and the sample dilution factor to detect lipids in an appropriate concentration range. Lipidomic analyses were performed for adipose tissue collected from the abdomen, breast, thigh and lower back. Differences in lipid levels between tissues were visualized with heatmaps. Results Lipidomic analysis on human adipose biopsies lead to the identification of 186lipids in 2 mg of sample. Technical variation of the lipid-class specific internal standards were below 5%, thus indicating acceptable repeatability. Triacylglycerols were highly represented in the adipose tissue samples, and lipids from 13 lipid classes were identified. Long polyunsaturated triacylglycerols in higher levels in thigh (q<0.05), when compared with the abdomen, breast and lower back, indicating that the lipidome was area-specific.

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Section: Introductionmentioning

confidence: 99%

Lipidomics of human adipose tissue reveals diversity between body areas

et al. 2020

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Lipidomics of human adipose tissue reveals diversity between body areas

Al-Sari

Suvitaival

Mattila

et al. 2020

Preprint

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Background and aims:Adipose tissue plays a pivotal role in storing excess fat and its composition reflects the history of person's lifestyle and metabolic health. Broad profiling of lipids with mass spectrometry has potential for uncovering new knowledge on the pathology of obesity, metabolic syndrome, diabetes and other related conditions. Here, we developed a lipidomic method for analyzing human subcutaneous adipose biopsies. We applied the method to four body areas to understand the differences in lipid composition between these areas. Materials and methods:Adipose tissue biopsies from 10 participants were analyzed using ultra-highperformance liquid chromatography coupled to quadrupole time-of-flight mass spectrometry. The method development included the optimization of the lipid extraction, the sample amount and the sample dilution factor to detect lipids in an appropriate concentration range. Lipidomic analyses were performed for adipose tissue collected from the abdomen, breast, thigh and lower back. Differences in lipid levels between tissues were visualized with heatmaps.Results: Lipidomic analysis on human adipose biopsies lead to the identification of 187 lipids in 2 mg of sample. Technical variation of the lipid-class specific internal standards were below 5 %, thus indicating acceptable repeatability. Triacylglycerols were highly represented in the adipose tissue samples, and lipids from 13 lipid classes were identified. Long polyunsaturated triacylglycerols in higher levels in thigh (q<0.05), when compared with the abdomen, breast and lower back, indicating that the lipidome was area-specific. Conclusion:The method presented here is suitable for the analysis of lipid profiles in 2 mg of adipose tissue. The amount of fat across the body is important for health but we argue that also the distribution and the 2 particular profile of the lipidome may be relevant for metabolic outcomes. We suggest that the method presented in this paper could be useful for detecting such aberrations.

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Fusion of genomic, proteomic and phenotypic data: the case of potyviruses

Cited by 2 publications

References 34 publications

Lipidomics of human adipose tissue reveals diversity between body areas

Lipidomics of human adipose tissue reveals diversity between body areas

Lipidomics of human adipose tissue reveals diversity between body areas

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