PDGF Promotes Dermal Fibroblast Activation via a Novel Mechanism Mediated by Signaling Through MCHR1

Systemic sclerosis (SSc) is an autoimmune disease characterized by vasculopathy and excessive fibrosis of the skin and internal organs. To this day, no effective treatments to prevent the progression of fibrosis exist, and SSc patients have disabilities and reduced life expectancy. The need to better understand pathways that drive SSc and to find therapeutic targets is urgent. RNA sequencing data from SSc dermal fibroblasts suggested that melanin-concentrating hormone receptor 1 (MCHR1), one of the G protein-coupled receptors regulating emotion and energy metabolism, is abnormally deregulated in SSc. Platelet-derived growth factor (PDGF)-BB stimulation upregulated MCHR1 mRNA and protein levels in normal human dermal fibroblasts (NHDF), and MCHR1 silencing prevented the PDGF-BB-induced expression of the profibrotic factors transforming growth factor beta 1 (TGFβ1) and connective tissue growth factor (CTGF). PDGF-BB bound MCHR1 in membrane fractions of NHDF, and the binding was confirmed using surface plasmon resonance (SPR). MCHR1 inhibition blocked PDGF-BB modulation of intracellular cyclic adenosine monophosphate (cAMP). MCHR1 silencing in NHDF reduced PDGF-BB signaling. In summary, MCHR1 promoted the fibrotic response in NHDF through modulation of TGFβ1 and CTGF production, intracellular cAMP levels, and PDGF-BB-induced signaling pathways, suggesting that MCHR1 plays an important role in mediating the response to PDGF-BB and in the pathogenesis of SSc. Inhibition of MCHR1 should be considered as a novel therapeutic strategy in SSc-associated fibrosis

Investigating the effects of chronic low-dose radiation exposure in the liver of a hypothermic zebrafish model

Mankind's quest for a manned mission to Mars is placing increased emphasis on the development of innovative radio-protective countermeasures for long-term space travel. Hibernation confers radio-protective effects in hibernating animals, and this has led to the investigation of synthetic torpor to mitigate the deleterious effects of chronic low-dose-rate radiation exposure. Here we describe an induced torpor model we developed using the zebrafish. We explored the effects of radiation exposure on this model with a focus on the liver. Transcriptomic and behavioural analyses were performed. Radiation exposure resulted in transcriptomic perturbations in lipid metabolism and absorption, wound healing, immune response, and fibrogenic pathways. Induced torpor reduced metabolism and increased pro-survival, anti-apoptotic, and DNA repair pathways. Coupled with radiation exposure, induced torpor led to a stress response but also revealed maintenance of DNA repair mechanisms, pro-survival and anti-apoptotic signals. To further characterise our model of induced torpor, the zebrafish model was compared with hepatic transcriptomic data from hibernating grizzly bears (Ursus arctos horribilis) and active controls revealing conserved responses in gene expression associated with anti-apoptotic processes, DNA damage repair, cell survival, proliferation, and antioxidant response. Similarly, the radiation group was compared with space-flown mice revealing shared changes in lipid metabolism

Investigating the effects of chronic low-dose radiation exposure in the liver of a hypothermic zebrafish model

Mankind's quest for a manned mission to Mars is placing increased emphasis on the development of innovative radio-protective countermeasures for long-term space travel. Hibernation confers radio-protective effects in hibernating animals, and this has led to the investigation of synthetic torpor to mitigate the deleterious effects of chronic low-dose-rate radiation exposure. Here we describe an induced torpor model we developed using the zebrafish. We explored the effects of radiation exposure on this model with a focus on the liver. Transcriptomic and behavioural analyses were performed. Radiation exposure resulted in transcriptomic perturbations in lipid metabolism and absorption, wound healing, immune response, and fibrogenic pathways. Induced torpor reduced metabolism and increased pro-survival, anti-apoptotic, and DNA repair pathways. Coupled with radiation exposure, induced torpor led to a stress response but also revealed maintenance of DNA repair mechanisms, pro-survival and anti-apoptotic signals. To further characterise our model of induced torpor, the zebrafish model was compared with hepatic transcriptomic data from hibernating grizzly bears (Ursus arctos horribilis) and active controls revealing conserved responses in gene expression associated with anti-apoptotic processes, DNA damage repair, cell survival, proliferation, and antioxidant response. Similarly, the radiation group was compared with space-flown mice revealing shared changes in lipid metabolism

Mammalian and Invertebrate Models as Complementary Tools for Gaining Mechanistic Insight on Muscle Responses to Spaceflight

Bioinformatics approaches have proven useful in understanding biological responses to spaceflight. Spaceflight experiments remain resource intensive and rare. One outstanding issue is how to maximize scientific output from a limited number of omics datasets from traditional animal models including nematodes, fruitfly, and rodents. The utility of omics data from invertebrate models in anticipating mammalian responses to spaceflight has not been fully explored. Hence, we performed comparative analyses of transcriptomes of soleus and extensor digitorum longus (EDL) in mice that underwent 37 days of spaceflight. Results indicate shared stress responses and altered circadian rhythm. EDL showed more robust growth signals and Pde2a downregulation, possibly underlying its resistance to atrophy versus soleus. Spaceflight and hindlimb unloading mice shared differential regulation of proliferation, circadian, and neuronal signaling. Shared gene regulation in muscles of humans on bedrest and space flown rodents suggest targets for mitigating muscle atrophy in space and on Earth. Spaceflight responses of C. elegans were more similar to EDL. Discrete life stages of D. melanogaster have distinct utility in anticipating EDL and soleus responses. In summary, spaceflight leads to shared and discrete molecular responses between muscle types and invertebrate models may augment mechanistic knowledge gained from rodent spaceflight and ground-based studies

NASA GeneLab RNA-seq consensus pipeline: Standardized processing of short-read RNA-seq data

With the development of transcriptomic technologies, we are able to quantify precise changes in gene expression profiles from astronauts and other organisms exposed to spaceflight. Members of NASA GeneLab and GeneLab-associated analysis working groups (AWGs) have developed a consensus pipeline for analyzing short-read RNA-sequencing data from spaceflight-associated experiments. The pipeline includes quality control, read trimming, mapping, and gene quantification steps, culminating in the detection of differentially expressed genes. This data analysis pipeline and the results of its execution using data submitted to GeneLab are now all publicly available through the GeneLab database. We present here the full details and rationale for the construction of this pipeline in order to promote transparency, reproducibility, and reusability of pipeline data; to provide a template for data processing of future spaceflight-relevant datasets; and to encourage cross-analysis of data from other databases with the data available in GeneLab

Análise do perfil genético de células tronco tumorais no câncer de mama localmente avançado

INTRODUCTION: Breast cancer is the most common cancer in women worldwide and metastatic dissemination is the principal factor related to death by this disease. Breast cancer stem cells (bCSC), defined in this work as the ALDH1high/LIN-/ESA+ population, are thought to be responsible for metastasis and chemoresistance. The objective of this work is to find gene master regulators, in particular transcription factors (TFs), which are controlling the bCSC phenotype. METHODS: We used in this work two groups of datasets with transcriptome data, the discovery dataset group contains one dataset obtained by ourselves containing three paired samples comparing the bCSC and the bulk of the tumor (My Data - bCSC/Bulk dataset), a dataset with eight paired samples comparing the bCSC and cancer cells (Wicha - bCSC/CC dataset) and a dataset with 115 samples of breast cancer tissue (clinical response dataset). The second group, validation datasets, contains the BRCA-TCGA dataset with information of 621 samples, 4142 breast cancer samples of the Kmplot tool, 17 primary samples of BasL subtype and their information of grafting in patient derived xenografts and analyzes of cell lines (MF10A and HMLE). For the analyzes we used the paired t-test in the Limma R package, the ARACNE algorithm for the inference of regulons in the clinical response dataset, MRA-FET to define the master regulators of the bCSC phenotype, and GSEA to identify the biological meaning of the findings in the different datasets. RESULTS: We identified 12 TFs as master regulators of the bCSC phenotype, with nine of them forming two highly interconnected networks, one positively related with the bCSC phenotype formed by SNAI2, TWIST, PRRX1, BNC2 and TBX5 with its regulons, defined here as the mesenchymal transcription network and one negative correlated to the phenotype formed by SCML4, ZNF831, SP140 and IKZF3, defined as the immune response transcription network, totally unknown in the context of breast cancer in the literature. Although still with weak evidence, ZEB1 seems to control the two networks and can be responsible for the expression of ALDH1 and of the three remaining TFs: ID4, HOXA5 and TEAD1. As their names portray, our data showed in the different datasets, and independently of the molecular subtype and of the platform used, that the mesenchymal transcription network seems to be responsible for the bCSC phenotype and the immune response transcription network to the adaptive immune response in the tumor and a better prognosis for the patients. We also defined 10 membrane proteins as new markers and/or therapeutic targets of the bCSC. CONCLUSION: We found and described two TF networks that seem to control the bCSC phenotype, one of them totally unknown until now and correlated to a good prognosis. Our findings have a clear potential for clinical use.INTRODUÇÃO: O cancer de mama é no mundo o câncer mais comum em mulheres e a disseminação metastática é o principal fator relacionado com a morte pela doença. Acreditasse que as células tronco do câncer de mama - bCSC, na sigla em inglês e definida neste trabalho com a população ALDH1high/LIN-/ESA+ - é responsável pela metástase e pela quimioresistência. O objetivo deste trabalho é encontrar genes que são essenciais para o controle do fenótipo das bCSC, em particular fatores de transcrição. MATERIAIS E MÉTODOS: Nesse trabalho nós utlizamos dois grupos de datasets com dados do transcriptoma, o grupo de datasets de descoberta contém um dataset gerado por nós com 3 amostras pareadas comparando as bCSC com o tumor total (My Data - bCSC/Bulk dataset), um dataset com 8 amostras pareadas comparando as bCSC com as células cancerígenas (Wicha - bCSC/CC dataset) e um dataset com 115 amostras de tecido de câncer de mama (Clinical Response dataset). O segundo grupo, grupo de validação, contém o dataset BRCA-TCGA com 621 amostras, as 4142 amostras de câncer de mama da ferramenta Kmplot, as 17 amostras humanas primárias do subtipo BasL e sua informação sobre a geração, ou não, de tumores em camundongos imunosuprimidos e a análise de linhagens celulares (MF10A e HMLE). Para a análise dos dataset utilizamos o test-t pareado no pacote Limma da liguagem R, o algoritmo ARACNE para a inferência de regulons no dataset Clinical Response, a análise MRA-FET para definir os Reguladores Mestres para o fenótipo das bCSC e a análise GSEA para identificar o significado biológico de nosso achados nos diferentes datasets. RESULTADOS E DISCUSSÃO: Nós identificamos 12 TFs como reguladores mestres, com 9 deles formando duas redes altamente conectadas, uma positivamente relacionada ao fenótipo bCSC formada por SNAI2, TWIST, PRRX1, BNC2 e TBX5 com seus regulons, e definida aqui como a rede de transcrição mesenquimal, e uma rede correlacionada negativamente, formada por SCML4, ZNF831, SP140 e IKZF3, definida aqui como a rede de transcrição da resposta imune e totalmente desconhecida da literatura no contexto do câncer de mama. Embora ainda com fraca evidencia, ZEB1 para controlar as duas redes e ser responsável pela expressão de ALDH1 e dos 3 TFs restantes: ID4, HOXA5 e TEAD1. Como mostram seus nomes, e independente do dataset, do subtipo molecular ou da plataforma utilizada, a rede de transcrição mesenquimal, parece ser responsável pela manutenção do fenótipo de células tronco cancerígenas e a rede de transcrição da resposta imune pela resposta imune adaptativa ao tumor e a um bom prognóstico para as pacientes. CONCLUSÃO: Nós encontramos e descrevemos duas redes de fatores de transcrição que parecem controlar o fenótipo das bCSC, uma delas totalmente desconhecida até agora e relacionada a um bom prognóstico. Nosso achados possuem um claro potencial para uso clínico

Evaluation of the interaction between Galectin-1 and Zinc and their potential structural and functional implications

Introdução: A Galectina-1 (Gal-1) é uma proteína multifuncional capaz de reconhecer, de modo específico, glicanas compostas por resíduos de -galactosídeos, por meio de domínios de reconhecimento de carboidrato (CRD). A Gal-1 é um homodímero de 14.900 daltons, pI = 5.6, apresenta uma topologia molecular do tipo jelly-roll composto por duas folhas- anti-paralelas. Além disso, esta proteína não apresenta peptídeo sinal e possui 6 cisteínas, 7 ácidos glutâmicos, 9 ácidos aspárticos e 4 histinas por monômero. A Gal-1 liga-se a diferentes moléculas biológicas contidas nas superfícies celulares, núcleo e componentes da matriz extracelular. O zinco é um importante metal em sistemas biológicos. Aproximadamente 10% do proteoma humano é potencialmente capaz de complexar zinco. Este íon exibe propriedades adequadas tanto para funções catalíticas, quanto estruturais em proteínas. Os sítios de ligação a zinco, nas proteínas, podem ser divididos em catalíticos, estruturais, co-catalíticos e sítios na interface protéica. Geralmente, os resíduos de cisteína, histidina, ácido glutâmico e ácido aspártico são alvos preferênciais de interação com Zn. Há na literatura dados que mostram a interação da Gal-1 humana com íons orgânicos, porém não há relatos sobre a interação Gal-1/Zn . Objetivos: O presente trabalho teve como objetivo avaliar a existência e as implicações da interação entre o íon Zn2+ e a proteína Gal-1. Materiais e Métodos: Foi efetuada a produção, purificação e padronização do uso das formas dimérica e monomérica da Gal-1 recombinante humana. A interação Gal-1/Zn foi avaliada através de ensaios biofísicos e biológicos. A análise in vitro e in silico dos paramêtros biofísicos, foi feita através de espectrofluorimetria, de dicroísmo circular, de ensaio de precipitação, do método GRID e por dinâmica molecular. A análise in vitro dos parâmetros biológicos, foi realizada por meio de ensaio de hemaglutinação e interação com laminina por ELISA. Resultados e Discussão: A adição de ZnCl2 numa solução de Gal-1 causa aumento da emissão por fluorescência do triptofano e uma alteração para o vermelho, altera o espectro de dicroísmo circular e causa precipitação protéica da Gal-1. Estes eventos ocorreram de forma seletiva e dependente da concentração desse íon. As análises in silico indicam que o provável sítio de complexação Zn/Gal-1 é distinto do CRD e é formado pelos aminoácidos Glu-15, Asp-92 e Asp-134, assumindo a conformação trigonal bipiramidal e tendo número de coordenação igual a 5. Conclusão: As análises biofísicas in vitro e in silico, nos indicam que a Galectina-1 tem a capacidade de se complexar com o íon Zn2+.Introduction: Galectin-1 (Gal-1) is a multifunctional protein that specifically recognizes glycans with -galactosides through carbohydrate recognition domains (CRD). Gal-1 is a homodimeric protein of 14.900daltons, pI=5.6, shows a jelly-roll molecular topology composed of two anti-parallels - sheet, has no signal peptide and contains 6 cysteines, 7 glutamic acids, 9 aspartic acids and 4 histidines per monomer. This lectin binds to different biological molecules contained in the cell surface, nucleus and extracellular matrix components. Zinc is an important metal in biological systems because can participate in the maintenance of protein structure and biological activity. Usually, cysteine , histidine, glutamic acid and aspartic acid residues are preferential targets for interaction with Zn. Approximately 10% of the human proteome is potentially capable to forming complexes with Zn. The Zn2+ ion exhibits properties suitable for both catalytic and structural protein functions. Proteins zinc binding sites can be divided into catalytic, structural, co-catalytic and protein interface sites.There are reports in the literature that shows the interaction between galectin-1 and organic ions. However, were not found reports about Zn-Gal-1 complexes. Objective: The aim of this study was to evaluate the existence and implications of the interaction between galectin-1 and Zn2+ ion. Materials and Methods: Human recombinant Gal-1 (monomer and dimmer) was obtained and purified. Also, the conditions for the use of Gal-1 were standardized. The interaction Zn/Gal-1 was assessed by biophysical an biological procedures. The analysis in vitro and in silico was made by spectrofluorimetry, circular dichroism, precipitation test, method of GRID, and molecular dynamics. The in vitro analysis of biological parameters were performed by hemmaglutination and laminin binding (ELISA) tests. Results and Discussion: The addition of ZnCl2 in Gal-1 solution causes increased fluorescence emission of tryptophan-70 and a red shift, alters the circular dichroism spectrum and causes precipitation of Gal-1 protein. These events occurred in a selective manner dependent of Zinc concentration. The in silico analysis indicates that the probable site of Zn/Gal-1 complexation is distinct from the CRD and is formed by the amino acids Glu-15, Asp-92 and Asp-134, assuming trigonal bipyramidal conformation and with coordination number equal to 5 . Conclusion: The biophysical in vitro and in silico findings suggests that Galectin-1 has the ability to complex with the Zn2+ ion

Análise do perfil genético de células tronco tumorais no câncer de mama localmente avançado

INTRODUCTION: Breast cancer is the most common cancer in women worldwide and metastatic dissemination is the principal factor related to death by this disease. Breast cancer stem cells (bCSC), defined in this work as the ALDH1high/LIN-/ESA+ population, are thought to be responsible for metastasis and chemoresistance. The objective of this work is to find gene master regulators, in particular transcription factors (TFs), which are controlling the bCSC phenotype. METHODS: We used in this work two groups of datasets with transcriptome data, the discovery dataset group contains one dataset obtained by ourselves containing three paired samples comparing the bCSC and the bulk of the tumor (My Data - bCSC/Bulk dataset), a dataset with eight paired samples comparing the bCSC and cancer cells (Wicha - bCSC/CC dataset) and a dataset with 115 samples of breast cancer tissue (clinical response dataset). The second group, validation datasets, contains the BRCA-TCGA dataset with information of 621 samples, 4142 breast cancer samples of the Kmplot tool, 17 primary samples of BasL subtype and their information of grafting in patient derived xenografts and analyzes of cell lines (MF10A and HMLE). For the analyzes we used the paired t-test in the Limma R package, the ARACNE algorithm for the inference of regulons in the clinical response dataset, MRA-FET to define the master regulators of the bCSC phenotype, and GSEA to identify the biological meaning of the findings in the different datasets. RESULTS: We identified 12 TFs as master regulators of the bCSC phenotype, with nine of them forming two highly interconnected networks, one positively related with the bCSC phenotype formed by SNAI2, TWIST, PRRX1, BNC2 and TBX5 with its regulons, defined here as the mesenchymal transcription network and one negative correlated to the phenotype formed by SCML4, ZNF831, SP140 and IKZF3, defined as the immune response transcription network, totally unknown in the context of breast cancer in the literature. Although still with weak evidence, ZEB1 seems to control the two networks and can be responsible for the expression of ALDH1 and of the three remaining TFs: ID4, HOXA5 and TEAD1. As their names portray, our data showed in the different datasets, and independently of the molecular subtype and of the platform used, that the mesenchymal transcription network seems to be responsible for the bCSC phenotype and the immune response transcription network to the adaptive immune response in the tumor and a better prognosis for the patients. We also defined 10 membrane proteins as new markers and/or therapeutic targets of the bCSC. CONCLUSION: We found and described two TF networks that seem to control the bCSC phenotype, one of them totally unknown until now and correlated to a good prognosis. Our findings have a clear potential for clinical use.INTRODUÇÃO: O cancer de mama é no mundo o câncer mais comum em mulheres e a disseminação metastática é o principal fator relacionado com a morte pela doença. Acreditasse que as células tronco do câncer de mama - bCSC, na sigla em inglês e definida neste trabalho com a população ALDH1high/LIN-/ESA+ - é responsável pela metástase e pela quimioresistência. O objetivo deste trabalho é encontrar genes que são essenciais para o controle do fenótipo das bCSC, em particular fatores de transcrição. MATERIAIS E MÉTODOS: Nesse trabalho nós utlizamos dois grupos de datasets com dados do transcriptoma, o grupo de datasets de descoberta contém um dataset gerado por nós com 3 amostras pareadas comparando as bCSC com o tumor total (My Data - bCSC/Bulk dataset), um dataset com 8 amostras pareadas comparando as bCSC com as células cancerígenas (Wicha - bCSC/CC dataset) e um dataset com 115 amostras de tecido de câncer de mama (Clinical Response dataset). O segundo grupo, grupo de validação, contém o dataset BRCA-TCGA com 621 amostras, as 4142 amostras de câncer de mama da ferramenta Kmplot, as 17 amostras humanas primárias do subtipo BasL e sua informação sobre a geração, ou não, de tumores em camundongos imunosuprimidos e a análise de linhagens celulares (MF10A e HMLE). Para a análise dos dataset utilizamos o test-t pareado no pacote Limma da liguagem R, o algoritmo ARACNE para a inferência de regulons no dataset Clinical Response, a análise MRA-FET para definir os Reguladores Mestres para o fenótipo das bCSC e a análise GSEA para identificar o significado biológico de nosso achados nos diferentes datasets. RESULTADOS E DISCUSSÃO: Nós identificamos 12 TFs como reguladores mestres, com 9 deles formando duas redes altamente conectadas, uma positivamente relacionada ao fenótipo bCSC formada por SNAI2, TWIST, PRRX1, BNC2 e TBX5 com seus regulons, e definida aqui como a rede de transcrição mesenquimal, e uma rede correlacionada negativamente, formada por SCML4, ZNF831, SP140 e IKZF3, definida aqui como a rede de transcrição da resposta imune e totalmente desconhecida da literatura no contexto do câncer de mama. Embora ainda com fraca evidencia, ZEB1 para controlar as duas redes e ser responsável pela expressão de ALDH1 e dos 3 TFs restantes: ID4, HOXA5 e TEAD1. Como mostram seus nomes, e independente do dataset, do subtipo molecular ou da plataforma utilizada, a rede de transcrição mesenquimal, parece ser responsável pela manutenção do fenótipo de células tronco cancerígenas e a rede de transcrição da resposta imune pela resposta imune adaptativa ao tumor e a um bom prognóstico para as pacientes. CONCLUSÃO: Nós encontramos e descrevemos duas redes de fatores de transcrição que parecem controlar o fenótipo das bCSC, uma delas totalmente desconhecida até agora e relacionada a um bom prognóstico. Nosso achados possuem um claro potencial para uso clínico

The effects of rosiglitazone on the neonatal rat cardiomyocyte transcriptome: a temporal analysis

Aim: The objective was to determine via high-throughput RNA sequencing the temporal effects of rosiglitazone (Avandia®) on the neonatal rat ventricular myocyte transcriptome. Materials & methods: Neonatal rat ventricular myocytes (NRVMs) were exposed to rosiglitazone in vitro. Meta analyses utilized temporal comparisons of 0.5 h control versus 0.5 h treatment, 0.5 h treatment versus 24 h treatment and 24 h treatment versus 48 h treatment. Results: Time dependent responses were observed. At 0.5 h, the PI3K-AKT signaling pathway was impacted. At 24 h endoplasmic reticulum activity and protein degradation were altered. At 48 h, oxytocin signaling was perturbed. Conclusion: The effects of rosiglitazone occured early and increased in magnitude over time. A protective molecular response was triggered at 24 h and maintained until 48 h. In parallel, a response that can cause cardiac damage was activated. Our findings suggest that rosiglitazone has deleterious effects