Imaging metabolic heterogeneity in cancer DOI Creative Commons
Debanti Sengupta, Guillem Pratx

Molecular Cancer, Journal Year: 2016, Volume and Issue: 15(1)

Published: Jan. 6, 2016

As our knowledge of cancer metabolism has increased, it become apparent that metabolic processes are extremely heterogeneous. The reasons behind this heterogeneity include genetic diversity, the existence multiple and redundant pathways, altered microenvironmental conditions, so on. a result, methods in clinic beyond have been developed order to image study tumor vivo vitro regimes. Both regimes provide unique advantages challenges, may be used picture is spatially temporally comprehensive. Taken together, these hold key appropriate diagnoses treatments future.

Language: Английский

Recommended strategies for spectral processing and post-processing of 1D 1H-NMR data of biofluids with a particular focus on urine DOI Creative Commons
Abdul‐Hamid Emwas, Edoardo Saccenti, Xin Gao

et al.

Metabolomics, Journal Year: 2018, Volume and Issue: 14(3)

Published: Feb. 12, 2018

1H NMR spectra from urine can yield information-rich data sets that offer important insights into many biological and biochemical phenomena. However, the quality utility of these be profoundly affected by how are processed interpreted. For instance, if incorrectly referenced or inconsistently aligned, identification compounds will incorrect. If mis-phased baseline correction is flawed, estimated concentrations systematically biased. Furthermore, because permits measurement spanning up to five orders magnitude, several problems arise with analysis. signals originating most abundant metabolites may prove least biologically relevant while arising but hardest accurately precisely measure. As a result, number processing techniques such as scaling, transformation normalization often required address issues. Therefore, proper critical step correctly extract useful information in any NMR-based metabolomic study. In this review we highlight significance, advantages disadvantages different spectral steps common studies urine. These include: chemical shift referencing, phase correction, alignment, binning, scaling normalization. We also provide set recommendations for best practices regarding biofluids, particular focus on

Language: Английский

Citations

125

Plant metabolism as studied by NMR spectroscopy DOI
Catherine Deborde, Annick Moing,

Léa Roch

et al.

Progress in Nuclear Magnetic Resonance Spectroscopy, Journal Year: 2017, Volume and Issue: 102-103, P. 61 - 97

Published: June 8, 2017

Language: Английский

Citations

120

Salivary Metabolomics: From Diagnostic Biomarker Discovery to Investigating Biological Function DOI Creative Commons
Alexander Gardner, Guy H. Carpenter, Po‐Wah So

et al.

Metabolites, Journal Year: 2020, Volume and Issue: 10(2), P. 47 - 47

Published: Jan. 26, 2020

Metabolomic profiling of biofluids, e.g., urine, plasma, has generated vast and ever-increasing amounts knowledge over the last few decades. Paradoxically, metabolomic analysis saliva, most readily-available human biofluid, lagged. This review explores history saliva-based metabolomics summarizes current salivary metabolomics. Current applications have largely focused on diagnostic biomarker discovery value literature base is explored. There also a small, albeit promising, concerning use in monitoring athletic performance. Functional roles metabolites remain unexplored. Areas emerging include role oral host–microbiome interactions shaping metabolite profile potential physiology, taste perception. Discussion future research directions describes need to begin acquiring greater function metabolites, direction field gut metabolome. The saliva as an easily obtainable, information-rich fluid that could complement other gastrointestinal fluids exploration metabolome emphasized.

Language: Английский

Citations

118

A state-of-the-art review on the carbonation process in cementitious materials: Fundamentals and characterization techniques DOI
Qiwen Qiu

Construction and Building Materials, Journal Year: 2020, Volume and Issue: 247, P. 118503 - 118503

Published: Feb. 28, 2020

Language: Английский

Citations

106

Imaging metabolic heterogeneity in cancer DOI Creative Commons
Debanti Sengupta, Guillem Pratx

Molecular Cancer, Journal Year: 2016, Volume and Issue: 15(1)

Published: Jan. 6, 2016

As our knowledge of cancer metabolism has increased, it become apparent that metabolic processes are extremely heterogeneous. The reasons behind this heterogeneity include genetic diversity, the existence multiple and redundant pathways, altered microenvironmental conditions, so on. a result, methods in clinic beyond have been developed order to image study tumor vivo vitro regimes. Both regimes provide unique advantages challenges, may be used picture is spatially temporally comprehensive. Taken together, these hold key appropriate diagnoses treatments future.

Language: Английский

Citations

91