Epithelial-to-mesenchymal transition involves triacylglycerol accumulation in DU145 prostate cancer cells

Epithelial to mesenchymal transition (EMT) is a biological process that plays a crucial role in cancer metastasis. Although studies regarding the EMT mechanisms are usual in terms of gene expression and protein functions, little is known about the involvement of lipids in EMT. In this work, an untargeted lipidomic analysis was performed to reveal which lipids are involved in the EMT process. DU145 prostate cancer cells were treated with TNFα, a well-known EMT inducer. After 6 hours of treatment, a decrease of cell membrane E-cadherin as well as a reduction in its gene expression were observed. Also, the mesenchymal markers Vimentin and Snail were up-regulated, suggesting that EMT started below 6 hours of treatment. Lipid extracts of untreated and TNFα-treated cells at short times were analyzed using ultra-performance liquid chromatography coupled to high-resolution mass spectrometry (UPLC-MS). Multivariate data analysis methods were applied to decipher which lipids presented significant changes after EMT induction. Among the results obtained, a significant increase of twelve unsaturated triacylglycerides (TAGs) was observed. This increase of TAGs was also observed for cells treated with TGFβ (another EMT inducer), suggesting that this feature is a common mechanism in the EMT process. In conclusion, this work reported for the first time a TAG accumulation through EMT induction. These TAG lipids could play a key role in providing cells with the energy, cell membrane components and signaling lipids necessary to guarantee the enhanced cell migration and proliferation of metastatic cells.This work was supported by the European Research Council under the European Union’s Seventh Framework Programme (FP/2007-2013)/ERC Grant Agreement 320737. J.J acknowledges a CSIC JAE-Doc contract cofounded by FSE.Peer reviewe

Resolution of a structural competition involving dimeric G-quadruplex and its C-rich complementary strand

The resolution of the dimeric intermolecular G-quadruplex/duplex competition of the telomeric DNA sequence 5′-TAG GGT TAG GGT-3′ and of its complementary 5′ ACC CTA ACC CTA-3′ is reported. To achieve this goal, melting experiments of both sequences and of the mixtures of these sequences were monitored by molecular absorption, molecular fluorescence and circular dichroism spectroscopies. Molecular fluorescence measurements were carried out using molecular beacons technology, in which the 5′-TAG GGT TAG GGT-3′ sequence was labelled with a fluorophore and a quencher at the ends of the strand. Mathematical analysis of experimental spectroscopic data was performed by means of multivariate curve resolution, allowing the calculation of concentration profiles and pure spectra of all resolved structures (dimeric antiparallel and parallel G-quadruplexes, Watson–Crick duplex and single strands) present in solution. Our results show that parallel G-quadruplex is more stable than antiparallel G-quadruplex. When the complementary C-rich strand is present, a mixture of both G-quadruplex structures and Watson–Crick duplex is observed, the duplex being the major species. In addition to melting temperatures, equilibrium constants for the parallel/antiparallel G-quadruplex equilibrium and for the G-quadruplex/duplex equilibrium were determined from the concentration profiles

Study of the interaction between the G-quadruplex-forming thrombin-binding aptamer and the porphyrin 5,10,15,20-tetrakis-(N-methyl-4-pyridyl)-21,23H-porphyrin tetratosylate

The G-quadruplex DNA structure has been suggested to be a potential target for anticancer therapies. Therefore, there is increasing interest in the development of drugs that could modulate the stability of G-quadruplex structures. In the current work, the interaction between the thrombin-binding aptamer (TBA, 5′-GGT TGG TGT GGT TGG-3′), which can form an intramolecular G-quadruplex structure, and the porphyrin 5,10,15,20-tetrakis-(N-methyl-4-pyridyl)-21,23H-porphyrin tetratosylate (TmPyP4) was studied. The application of a high-performance liquid chromatography-photodiode array (HPLC-PDA) detector-based method to study this kind of interaction was tested. Molecular absorption data recorded along the chromatographic runs were analyzed by means of multivariate data analysis methods. Moreover, biospecific interaction analysis (BIA) by surface plasmon resonance (SPR) and melting and mole ratio experiments monitored by UV-visible molecular absorption and circular dichroism spectroscopies, were applied to confirm and expand the chromatographic studies. The results showed the formation of an interaction complex with a stoichiometry 1:1 (TmPyP4/TBA) and logarithm of the equilibrium constant equal to 5.7 ± 0.2. Melting and circular dichroism data reflected that the initial G-quadruplex structure of TBA is stabilized in the interaction complex, being slightly distorted by the presence of the ligand. © 2008 Elsevier Inc. All rights reserved.This research was supported by the grants CTQ2006-15052-C02-01/BQU, CTQ2007- 28940-E/BQU, and BFU2007-63287/BMC from the Spanish Ministerio de Educación y Ciencia.Peer reviewe

Porphyrin binding mechanism is altered by protonation at the loops in G-quadruplex DNA formed near the transcriptional activation site of the human c-kit gene

Background: G-quadruplex DNA structures are hypothesized to be involved in the regulation of gene expression and telomere homeostasis. The development of small molecules that modulate the stability of G-quadruplex structures has a potential therapeutic interest in cancer treatment and prevention of aging. Methods: Molecular absorption and circular dichroism spectra were used to monitor thermal denaturation, acid base titration and mole ratio experiments. The resulting data were analyzed by multivariate data analysis methods. Surface plasmon resonance was also used to probe the kinetics and affinity of the DNA-drug interactions. Results: We investigated the interaction between a G-quadruplex-forming sequence in the human c-kit proto-oncogene and the water soluble porphyrin TMPyP4. The role of cytosine and adenine residues at the loops of G-quadruplex was studied by substitution of these residues by thymidines. Conclusions: Here, we show the existence of two binding modes between TMPyP4 and the considered G-quadruplex. The stronger binding mode (formation constant around 107) involves end-stacking, while the weaker binding mode (formation constant around 106) is probably due to external loop binding. Evidence for the release of TMPyP4 upon protonation of bases at the loops has been observed. General significance: The results may be used for the design of porphyrin-based anti-cancer molecules with a higher affinity to G-quadruplex structures which may have anticancer properties. © 2012 Elsevier B.V.This research was supported by the Spanish Ministerio de Ciencia e Innovación (grant numbers CTQ2009-11572 and CTQ2010-20541-C03-01), and the Generalitat de Catalunya (grant numbers 2009-SGR-45 and 2009- SGR-208).Peer reviewe

ROIMCR: a powerful analysis strategy for LC-MS metabolomic datasets

[Background] The analysis of LC-MS metabolomic datasets appears to be a challenging task in a wide range of disciplines since it demands the highly extensive processing of a vast amount of data. Different LC-MS data analysis packages have been developed in the last few years to facilitate this analysis. However, most of these strategies involve chromatographic alignment and peak shaping and often associate each “feature” (i.e., chromatographic peak) with a unique m/z measurement. Thus, the development of an alternative data analysis strategy that is applicable to most types of MS datasets and properly addresses these issues is still a challenge in the metabolomics field.[Results] Here, we present an alternative approach called ROIMCR to: i) filter and compress massive LC-MS datasets while transforming their original structure into a data matrix of features without losing relevant information through the search of regions of interest (ROIs) in the m/z domain and ii) resolve compressed data to identify their contributing pure components without previous alignment or peak shaping by applying a Multivariate Curve Resolution-Alternating Least Squares (MCR-ALS) analysis. In this study, the basics of the ROIMCR method are presented in detail and a detailed description of its implementation is also provided. Data were analyzed using the MATLAB (The MathWorks, Inc., www.mathworks.com) programming and computing environment. The application of the ROIMCR methodology is described in detail, with an example of LC-MS data generated in a lipidomic study and with other examples of recent applications.[Conclusions] The methodology presented here combines the benefits of data filtering and compression based on the searching of ROI features, without the loss of spectral accuracy. The method has the benefits of the application of the powerful MCR-ALS data resolution method without the necessity of performing chromatographic peak alignment or modelling. The presented method is a powerful alternative to other existing data analysis approaches that do not use the MCR-ALS method to resolve LC-MS data. The ROIMCR method also represents an improved strategy compared to the direct applications of the MCR-ALS method that use less-powerful data compression strategies such as binning and windowing. Overall, the strategy presented here confirms the usefulness of the ROIMCR chemometrics method for analyzing LC-MS untargeted metabolomics data.The research leading to these results has received funding from the European Research Council under the European Union’s Seventh Framework Programme (FP/2007–2013) / ERC Grant Agreement n. 320737. The first author acknowledges the Spanish Government (Ministerio de Educación, Cultura y Deporte) for a predoctoral FPU scholarship. The authors acknowledge support of the publication fee by the CSIC Open Access Publication Support Initiative through its Unit of Information Resources for Research (URICI). Grant support from Generalitat de Catalunya 2017-SGR-753 and Spanish Ministry of Economy, Industry and Competitiveness (project CTQ2015–66254-C2–1-P) is also acknowledged.Peer reviewe

Porphyrin binding mechanism is altered by protonation at the loops in G-quadruplex DNA formed near the transcriptional activation site of the human c-kit gene

Background G-quadruplex DNA structures are hypothesized to be involved in the regulation of gene expression and telomere homeostasis. The development of small molecules that modulate the stability of G-quadruplex structures has a potential therapeutic interest in cancer treatment and prevention of aging. Methods Molecular absorption and circular dichroism spectra were used to monitor thermal denaturation, acid base titration and mole ratio experiments. The resulting data were analyzed by multivariate data analysis methods. Surface plasmon resonance was also used to probe the kinetics and affinity of the DNA-drug interactions. Results We investigated the interaction between a G-quadruplex-forming sequence in the human c-kit proto-oncogene and the water soluble porphyrin TMPyP4. The role of cytosine and adenine residues at the loops of G-quadruplex was studied by substitution of these residues by thymidines. Conclusions Here, we show the existence of two binding modes between TMPyP4 and the considered G-quadruplex. The stronger binding mode (formation constant around 107) involves end-stacking, while the weaker binding mode (formation constant around 106) is probably due to external loop binding. Evidence for the release of TMPyP4 upon protonation of bases at the loops has been observed. General significance The results may be used for the design of porphyrin-based anti-cancer molecules with a higher affinity to G-quadruplex structures which may have anticancer properties. Graphical abstract Protonation pushes away TMPyP4 molecules from the loops in G-quadruplex structures. The interaction of TMPyP4 porphyrin with the G-quadruplex structure formed by a guanine-rich sequence in the promoter region of c-kit gene was studied. Up to three ligand molecules may be bound to the G-quadruplex structure. Protonation at the loops induces the release of one TMPyP4 molecule

Vibrational spectroscopic image analysis of biological material using multivariate curve resolution - alternating least squares

Multivariate data analysis techniques are ideal to decrypt chemical differences between anatomical features or tissue areas in hyperspectral images of biological samples. This protocol provides a user-friendly pipeline and graphical user interface (GUI) for data pre-processing and un-mixing of pixel spectra into their contributing pure components by multivariate curve resolution-alternating least squares (MCR-ALS) analysis. The analysis considers the full spectral profile to identify the chemical compounds and to visualize their distribution across the sample to categorize chemically distinct areas. Results are rapidly achieved (usually less than 30 - 60 min/image) and are easy to interpret and evaluate both in terms of chemistry and biology, making the method generally more powerful than principal component analysis (PCA) or single band intensity heap maps. In addition, chemical and biological evaluation of the results by means of reference matching and segmentation maps (based on k-means clustering) are possible

Resolució multivariant en Química: a la cerca de la bella simplicitat de la mesura

En Quimiometria, existeix una família de mètodes, coneguts sota la denominació comuna de resolució multivariant, que permeten descriure fenòmens molt complexos i diversos a partir de la combinació de poques contribucions bàsiques fàcilment interpretables. La versatilitat i simplicitat dels models de resolució multivariant ha fet que s'hagin aplicat amb èxit en el modelatge de processos d'origen químic i bioquímic i en la interpretació de dades -òmiques i ambientals

The human mitochondrial transcription factor A is a versatile G-quadruplex binding protein

The ability of the guanine-rich strand of the human mitochondrial DNA (mtDNA) to form G-quadruplex structures (G4s) has been recently highlighted, suggesting potential functions in mtDNA replication initiation and mtDNA stability. G4 structures in mtDNA raise the question of their recognition by factors associated with the mitochondrial nucleoid. The mitochondrial transcription factor A (TFAM), a highmobility group (HMG)-box protein, is the major binding protein of human mtDNA and plays a critical role in its expression and maintenance. HMG-box proteins are pleiotropic sensors of DNA structural alterations. Thus, we investigated and uncovered a surprising ability of TFAM to bind to DNA or RNA G4 with great versatility, showing an affinity similar than to double-stranded DNA. The recognition of G4s by endogenous TFAM was detected in mitochondrial extracts by pull-down experiments using a G4-DNA from the mtDNA conserved sequence block II (CSBII). Biochemical characterization shows that TFAM binding to G4 depends on both the G-quartets core and flanking single-stranded overhangs. Additionally, it shows a structure-specific binding mode that differs from B-DNA, including G4- dependent TFAM multimerization. These TFAM-G4 interactions suggest functional recognition of G4s in the mitochondria

Metabolic profiling for the identification of Huntington biomarkers by on-line solid-phase extraction capillary electrophoresis mass spectrometry combined with advanced data analysis tools

In this work, an untargeted metabolomic approach based on sensitive analysis by on-line solid-phase extraction capillary electrophoresis mass spectrometry (SPE-CE-MS) in combination with multivariate data analysis is proposed as an efficient method for the identification of biomarkers of Huntington's disease (HD) progression in plasma. For this purpose, plasma samples from wild type (wt) and HD (R6/1) mice of different ages (8, 12 and 30 weeks), were analysed by C18-SPE-CE-MS in order to obtain the characteristic electrophoretic profiles of low molecular mass compounds. Then, multivariate curve resolution alternating least squares (MCR-ALS) was applied to the multiple full scan MS data sets. This strategy permitted the resolution of a large number of metabolites being characterised by their electrophoretic peaks and their corresponding mass spectra. A total number of 29 compounds were relevant to discriminate between wt and HD plasma samples, as well as to follow-up the HD progression. The intracellular signalling was found to be the most affected metabolic pathway in HD mice after 12 weeks of birth, when mice already showed motor coordination deficiencies and cognitive decline. This fact agreed with the atrophy and dysfunction of specific neurons, loss of several types of receptors and changed expression of neurotransmitters