● Introducción.
● Distribución de midlets.
– OTA.
– Flujo de eventos.
● Herramientas.
● Servidor de páginas: XAMPP.
– Instalación.
– Configuración.
● Creación del sitio web.
● Despliegue del midlet.
● Instalación de la aplicación.
● Distribución a través de Internet.
● Enlaces de interés.
Anyone who once had a desire to pursue a medical course to save lives but did not get the opportunity due to either academic qualifications or finances can pursue EMT or paramedic course and find his/her way to the life saving skills.
Calculation of the volume of a bottle partially filled with a fluid.Mikołaj Hajduk
How to calculate the volume of a flat-bottomed, corked bottle, partially filled with a fluid having only the ruler as a measuring tool?
The 3D graphics made by me and presented below gives an answer to this question.
This presentation done by omkar kapil a student at NIPER-A basically this presentation is regarding to the discussion of novel target and therapies in the case of pancreatitis from understanding this we can easily attack on the site and from inhibition of of that site we will be beneficial in human welfare
Development and Validation of a Two-Site Immunoradiometric assay for Glypican...Premier Publishers
This work aimed to set-up and evaluate a lab-made immunoradiometric assay for the detection of plasma glypican-3 (GPC3) in comparison with a commercial ELISA kit and to use them to evaluate the diagnostic potential of GPC3 in HCC patients. Anti-GPC3 monoclonal antibodies were radio-iodinated and used with a second antibody in the IRMA assay. The study included 450 subjects in 3 groups, 150 HCC patients, 150 hepatitis-C-virus (HCV) patients and 150 normal healthy subjects. Plasma GPC3 was assayed by our lab-made IRMA and by a commercial ELISA kit, along with alpha-fetoprotein (AFP). We were able to set-up an IRMA assay to measure plasma GPC3 and applied it to diagnose HCC patients. When compared to a ELISA kit, our IRMA assay showed much better performance characteristics on ROC curves with much higher area under the curves, sensitivities and specificities when diagnosing HCC patients from normal controls or HCV patients. Using our IRMA assay, showed that GPC3 is a good diagnostic indicator for HCC with 1.4 ng/ml cutoff for controls and at a cutoff value of 1.55 ng/ml it was able to discriminate HCC and HCV patients. GPC3 measurement was much better than AFP for the diagnosis of HCC.
Enhanced NK cell adoptive antitumor effects against breast cancer in vitroRahul Gupta
This is the research paper which i have been choosen for presentation "Enhance NK cell adoptive antitumor effects against breast cancer in vitro via blockade of the Transforming Growth Factor-Beta".
Clinical Development of ADC Drugs Targeting TROP-2.pdfDoriaFang
TROP-2 is expressed in many tumor types, making it an emerging and popular target for ADC development. This article introduces clinical development of ADC drugs targeting TROP-2.
Comprehensive molecular characterization of gastric adenocarcinoma
The Cancer Genome Atlas Research Network ( TCGA)
Nature, July 2014
JC, by
Mohsin Maqbool, AIIMS
Il punto sul microbiota e le malattie umane- Covegno scientifico Attività scientifica
Il microbiota e le patologie umane- Perugia 20 aprile 2018- Convegno a Perugia-
Probiotici e trattamento delle patologie umane
Microbiota intestinale e malattie infiammatorie
Giornata di studio sul microbiota e patologie umane- Esperti a confronto sul ruolo dl microbiota nelle patologie dell' apparato digerente Perugia 20 aprile 2018
Meeting sul microbiota umano 20 aprile 2018
Focus su microbiota intestinale e malattie infiammatorie ed epatiche- Probiotici: come valutare un probiotico?
These slides describe the pathophysiology and the management of patients with liver cirrhosis and portal hypertension. The slides are at the level of post-graduate students
GPBAR1 (TGR5) regulates il 10 production from intestinal macrophages Attività scientifica
Novel therapeutic approach to intestinal inflammation by targeting GPBAR1 (TGR5) stimulates release of anti-inflammatory cytokine IL-10.
Just published in J. Immunology June 2017
Nuovo website:
www.gastroenterologia.unipg.it
disponibile da oggi per aggiornamenti, didattica, blog ed informazioni sulla sezione di gastroenterologia di Perugia
BILE ACID ACTIVATED RECEPTORS: FROM MEDICINAL CHEMISTRY TO CLINICAL APPLICATIONSAttività scientifica
A scientific meeting on bile acids and their receptors and clinical applications in liver and metabolic disorders will be held on Feb 9, 2016 in Perugia. Attendance is free.
Inf: stefano.fiorucci@unipg.it
Slide 1: Title Slide
Extrachromosomal Inheritance
Slide 2: Introduction to Extrachromosomal Inheritance
Definition: Extrachromosomal inheritance refers to the transmission of genetic material that is not found within the nucleus.
Key Components: Involves genes located in mitochondria, chloroplasts, and plasmids.
Slide 3: Mitochondrial Inheritance
Mitochondria: Organelles responsible for energy production.
Mitochondrial DNA (mtDNA): Circular DNA molecule found in mitochondria.
Inheritance Pattern: Maternally inherited, meaning it is passed from mothers to all their offspring.
Diseases: Examples include Leber’s hereditary optic neuropathy (LHON) and mitochondrial myopathy.
Slide 4: Chloroplast Inheritance
Chloroplasts: Organelles responsible for photosynthesis in plants.
Chloroplast DNA (cpDNA): Circular DNA molecule found in chloroplasts.
Inheritance Pattern: Often maternally inherited in most plants, but can vary in some species.
Examples: Variegation in plants, where leaf color patterns are determined by chloroplast DNA.
Slide 5: Plasmid Inheritance
Plasmids: Small, circular DNA molecules found in bacteria and some eukaryotes.
Features: Can carry antibiotic resistance genes and can be transferred between cells through processes like conjugation.
Significance: Important in biotechnology for gene cloning and genetic engineering.
Slide 6: Mechanisms of Extrachromosomal Inheritance
Non-Mendelian Patterns: Do not follow Mendel’s laws of inheritance.
Cytoplasmic Segregation: During cell division, organelles like mitochondria and chloroplasts are randomly distributed to daughter cells.
Heteroplasmy: Presence of more than one type of organellar genome within a cell, leading to variation in expression.
Slide 7: Examples of Extrachromosomal Inheritance
Four O’clock Plant (Mirabilis jalapa): Shows variegated leaves due to different cpDNA in leaf cells.
Petite Mutants in Yeast: Result from mutations in mitochondrial DNA affecting respiration.
Slide 8: Importance of Extrachromosomal Inheritance
Evolution: Provides insight into the evolution of eukaryotic cells.
Medicine: Understanding mitochondrial inheritance helps in diagnosing and treating mitochondrial diseases.
Agriculture: Chloroplast inheritance can be used in plant breeding and genetic modification.
Slide 9: Recent Research and Advances
Gene Editing: Techniques like CRISPR-Cas9 are being used to edit mitochondrial and chloroplast DNA.
Therapies: Development of mitochondrial replacement therapy (MRT) for preventing mitochondrial diseases.
Slide 10: Conclusion
Summary: Extrachromosomal inheritance involves the transmission of genetic material outside the nucleus and plays a crucial role in genetics, medicine, and biotechnology.
Future Directions: Continued research and technological advancements hold promise for new treatments and applications.
Slide 11: Questions and Discussion
Invite Audience: Open the floor for any questions or further discussion on the topic.
Earliest Galaxies in the JADES Origins Field: Luminosity Function and Cosmic ...Sérgio Sacani
We characterize the earliest galaxy population in the JADES Origins Field (JOF), the deepest
imaging field observed with JWST. We make use of the ancillary Hubble optical images (5 filters
spanning 0.4−0.9µm) and novel JWST images with 14 filters spanning 0.8−5µm, including 7 mediumband filters, and reaching total exposure times of up to 46 hours per filter. We combine all our data
at > 2.3µm to construct an ultradeep image, reaching as deep as ≈ 31.4 AB mag in the stack and
30.3-31.0 AB mag (5σ, r = 0.1” circular aperture) in individual filters. We measure photometric
redshifts and use robust selection criteria to identify a sample of eight galaxy candidates at redshifts
z = 11.5 − 15. These objects show compact half-light radii of R1/2 ∼ 50 − 200pc, stellar masses of
M⋆ ∼ 107−108M⊙, and star-formation rates of SFR ∼ 0.1−1 M⊙ yr−1
. Our search finds no candidates
at 15 < z < 20, placing upper limits at these redshifts. We develop a forward modeling approach to
infer the properties of the evolving luminosity function without binning in redshift or luminosity that
marginalizes over the photometric redshift uncertainty of our candidate galaxies and incorporates the
impact of non-detections. We find a z = 12 luminosity function in good agreement with prior results,
and that the luminosity function normalization and UV luminosity density decline by a factor of ∼ 2.5
from z = 12 to z = 14. We discuss the possible implications of our results in the context of theoretical
models for evolution of the dark matter halo mass function.
(May 29th, 2024) Advancements in Intravital Microscopy- Insights for Preclini...Scintica Instrumentation
Intravital microscopy (IVM) is a powerful tool utilized to study cellular behavior over time and space in vivo. Much of our understanding of cell biology has been accomplished using various in vitro and ex vivo methods; however, these studies do not necessarily reflect the natural dynamics of biological processes. Unlike traditional cell culture or fixed tissue imaging, IVM allows for the ultra-fast high-resolution imaging of cellular processes over time and space and were studied in its natural environment. Real-time visualization of biological processes in the context of an intact organism helps maintain physiological relevance and provide insights into the progression of disease, response to treatments or developmental processes.
In this webinar we give an overview of advanced applications of the IVM system in preclinical research. IVIM technology is a provider of all-in-one intravital microscopy systems and solutions optimized for in vivo imaging of live animal models at sub-micron resolution. The system’s unique features and user-friendly software enables researchers to probe fast dynamic biological processes such as immune cell tracking, cell-cell interaction as well as vascularization and tumor metastasis with exceptional detail. This webinar will also give an overview of IVM being utilized in drug development, offering a view into the intricate interaction between drugs/nanoparticles and tissues in vivo and allows for the evaluation of therapeutic intervention in a variety of tissues and organs. This interdisciplinary collaboration continues to drive the advancements of novel therapeutic strategies.
Seminar of U.V. Spectroscopy by SAMIR PANDASAMIR PANDA
Spectroscopy is a branch of science dealing the study of interaction of electromagnetic radiation with matter.
Ultraviolet-visible spectroscopy refers to absorption spectroscopy or reflect spectroscopy in the UV-VIS spectral region.
Ultraviolet-visible spectroscopy is an analytical method that can measure the amount of light received by the analyte.
What is greenhouse gasses and how many gasses are there to affect the Earth.moosaasad1975
What are greenhouse gasses how they affect the earth and its environment what is the future of the environment and earth how the weather and the climate effects.
Multi-source connectivity as the driver of solar wind variability in the heli...Sérgio Sacani
The ambient solar wind that flls the heliosphere originates from multiple
sources in the solar corona and is highly structured. It is often described
as high-speed, relatively homogeneous, plasma streams from coronal
holes and slow-speed, highly variable, streams whose source regions are
under debate. A key goal of ESA/NASA’s Solar Orbiter mission is to identify
solar wind sources and understand what drives the complexity seen in the
heliosphere. By combining magnetic feld modelling and spectroscopic
techniques with high-resolution observations and measurements, we show
that the solar wind variability detected in situ by Solar Orbiter in March
2022 is driven by spatio-temporal changes in the magnetic connectivity to
multiple sources in the solar atmosphere. The magnetic feld footpoints
connected to the spacecraft moved from the boundaries of a coronal hole
to one active region (12961) and then across to another region (12957). This
is refected in the in situ measurements, which show the transition from fast
to highly Alfvénic then to slow solar wind that is disrupted by the arrival of
a coronal mass ejection. Our results describe solar wind variability at 0.5 au
but are applicable to near-Earth observatories.
Richard's aventures in two entangled wonderlandsRichard Gill
Since the loophole-free Bell experiments of 2020 and the Nobel prizes in physics of 2022, critics of Bell's work have retreated to the fortress of super-determinism. Now, super-determinism is a derogatory word - it just means "determinism". Palmer, Hance and Hossenfelder argue that quantum mechanics and determinism are not incompatible, using a sophisticated mathematical construction based on a subtle thinning of allowed states and measurements in quantum mechanics, such that what is left appears to make Bell's argument fail, without altering the empirical predictions of quantum mechanics. I think however that it is a smoke screen, and the slogan "lost in math" comes to my mind. I will discuss some other recent disproofs of Bell's theorem using the language of causality based on causal graphs. Causal thinking is also central to law and justice. I will mention surprising connections to my work on serial killer nurse cases, in particular the Dutch case of Lucia de Berk and the current UK case of Lucy Letby.
Professional air quality monitoring systems provide immediate, on-site data for analysis, compliance, and decision-making.
Monitor common gases, weather parameters, particulates.
Cancer cell metabolism: special Reference to Lactate PathwayAADYARAJPANDEY1
Normal Cell Metabolism:
Cellular respiration describes the series of steps that cells use to break down sugar and other chemicals to get the energy we need to function.
Energy is stored in the bonds of glucose and when glucose is broken down, much of that energy is released.
Cell utilize energy in the form of ATP.
The first step of respiration is called glycolysis. In a series of steps, glycolysis breaks glucose into two smaller molecules - a chemical called pyruvate. A small amount of ATP is formed during this process.
Most healthy cells continue the breakdown in a second process, called the Kreb's cycle. The Kreb's cycle allows cells to “burn” the pyruvates made in glycolysis to get more ATP.
The last step in the breakdown of glucose is called oxidative phosphorylation (Ox-Phos).
It takes place in specialized cell structures called mitochondria. This process produces a large amount of ATP. Importantly, cells need oxygen to complete oxidative phosphorylation.
If a cell completes only glycolysis, only 2 molecules of ATP are made per glucose. However, if the cell completes the entire respiration process (glycolysis - Kreb's - oxidative phosphorylation), about 36 molecules of ATP are created, giving it much more energy to use.
IN CANCER CELL:
Unlike healthy cells that "burn" the entire molecule of sugar to capture a large amount of energy as ATP, cancer cells are wasteful.
Cancer cells only partially break down sugar molecules. They overuse the first step of respiration, glycolysis. They frequently do not complete the second step, oxidative phosphorylation.
This results in only 2 molecules of ATP per each glucose molecule instead of the 36 or so ATPs healthy cells gain. As a result, cancer cells need to use a lot more sugar molecules to get enough energy to survive.
Unlike healthy cells that "burn" the entire molecule of sugar to capture a large amount of energy as ATP, cancer cells are wasteful.
Cancer cells only partially break down sugar molecules. They overuse the first step of respiration, glycolysis. They frequently do not complete the second step, oxidative phosphorylation.
This results in only 2 molecules of ATP per each glucose molecule instead of the 36 or so ATPs healthy cells gain. As a result, cancer cells need to use a lot more sugar molecules to get enough energy to survive.
introduction to WARBERG PHENOMENA:
WARBURG EFFECT Usually, cancer cells are highly glycolytic (glucose addiction) and take up more glucose than do normal cells from outside.
Otto Heinrich Warburg (; 8 October 1883 – 1 August 1970) In 1931 was awarded the Nobel Prize in Physiology for his "discovery of the nature and mode of action of the respiratory enzyme.
WARNBURG EFFECT : cancer cells under aerobic (well-oxygenated) conditions to metabolize glucose to lactate (aerobic glycolysis) is known as the Warburg effect. Warburg made the observation that tumor slices consume glucose and secrete lactate at a higher rate than normal tissues.
This pdf is about the Schizophrenia.
For more details visit on YouTube; @SELF-EXPLANATORY;
https://www.youtube.com/channel/UCAiarMZDNhe1A3Rnpr_WkzA/videos
Thanks...!
1. GPBAR1(TGR5) is highly expressed in human gastric cancers and its activation by selective or
GPBAR1/FXR dual ligands promotes epithelial mesenchymal transition and tumor spreading
Barbara Renga*, Sabrina Cipriani #
, Adriana Carino * , Silvia Marchianò * , Angela Zampella †
and Stefano Fiorucci *
*Dipartimento di Scienze Chirurgiche e Biomediche, Università degli Studi di Perugia, Nuova Facoltà di Medicina e Chirurgia , Sant’Andrea delle Fratte,Perugia, Italy
#
Dipartimento di Medicina, Università degli Studi di Perugia ,Nuova Facoltà di Medicina e Chirurgia, Perugia, Italy
†
Dipartimento di Farmacia, Università di Napoli Federico II, Napoli, Italy
Background. Gastritis associated with bile acids reflux is a risk factor in the development of intestinal metaplasia in the stomach and is believed to function as an initiator of gastric carcinogenesis. Bile acids activate nuclear and G-protein coupled receptors. GPBAR1 (also
known as TGR5) is expressed in esophageal adenocarcinoma cell lines and its activation by TDCA increases cell proliferation. Whether GPBAR1 is expressed in gastric cancers and exerts a functional role in disease initiation or progression is controversial
Aim of the study. In this study, we have examined the expression of GPBAR1 in human gastric adenocarcinomas and examined whether its activation modulate the phenotypes of gastric cancer cell lines in vitro and in vivo in a model of mice peritoneal implantation and
dissemination.
Material and methods. 35 patients with gastric adenocarcinoma were included in this study. Authorization for samples collection was granted to SF by the CEAS, Ethical committee heal System of Umbria region (Italy). An informed written consent was obtained by each
patient before surgery. Gastric cell lines used in this study were MKN45 (intestinal type cancer) and MKN74 (undifferentiated gastric cancer).
Results. GPBAR1 staining was found in all patients with intestinal metaplasia and in patients intestinal but in only 20% of the diffuse subtype of adenocarcinomas. GPBAR1 expression was found to be associated with advanced cancer (stage III and IV) and was associated
with lymphatic spreading. Expression of FXR, mRNA , and GPBAR1,mRNA and protein, was detected in several cancer cell lines, with MKN45 (intestinal cell type) having the higher expression of GPBAR1 in comparison to MKN74 (indifferentiated cell type). Exposure of
MKN45 cells to TLCA, oleanoic acid (selective GPBAR1 ligand) or 6-ECDCA (a dual FXR and GPBAR1 ligand) increased the expression of several genes usually associated with a metastatic phenotype including KDKN2A, HRAS, IGB3, MMP10 and MMP13 and
downregulated the expression of CD44 and FAT1 (among other) (p<0.01 versus untreated cells). Exposure of MKN45 to GPBAR1 ligands, including selective GPBAR1 ligands TLCA,TDCA and oleanoic acid, or dual FXR/GPBAR1 ligands, 6-ECDA and CDCA, increased cell
migration, enhanced cell adhesion to the mouse peritoneum and wound healing. These effects correlated with increased expression of N-cadherin and vimentin and were blocked by cetuximab and by MEK inhibition. By using a model of peritoneum metastasis, we found that
pretreating MKN45 cells with TLCA or 6-ECDCA increases the number of peritoneal metastasis by 30% and that this effect was abrogated by cetuximab. Because cetuximab is an EGF receptor(R) inhibitor, we have then examined molecular basis for interaction of GPBAR1
with EGFR and found that exposure of MKN45 cells to TLCA, increases the phosphorylation of EGFR in a time and concentration-dependent manner.
Conclusions. GPBAR1 is highly expresses in gastric cancers. Activation of GPBAR1 in gastric epithelial cells promotes the epithelial mesenchymal transition. Taken together these data support a potential role for GPBAR1 antagonists in the treatment of gastric cancers.
Figure 1: (A-D)The expression of GPBAR1 was examinated in surgical samples, obtained from patients who
underwent surgery for the treatment of gastric cancer, first by immunohistochemistry. We found that GPBAR1 was
expressed either in non-neoplastic and neoplastic tissues, but the expression resulted slight up-regulated,
although not significantly, in the neoplastic tissue in comparison to healthy gastric mucosa. (E-G) This finding
was further confirmed by quantitative RT-PCR.The expression of the receptor was significantly higher in
patients with advanced disease; (F) patients with stage III and IV had significantly higher expression in
comparison with patients in stage I-II (p<0.05). Such difference was not observed in non-neoplastic areas (E) and
that there was no difference among the two main histological phenotypes (i.e. intestinal vs diffuse) (G). Values are
normalized to GAPDH and are expressed relative to those of positive controls(non-neoplastic tissues); The
relative mRNA expression is expressed as 2(-ΔΔCt). These data support the concept that development of more
advanced disease associated with higher expression of GPBAR1
Figure 2: Expression levels of GPBAR1and FXR were evalueted both by ReaL-Time PCR (mRNA) (A-B) and Western Blot analysis (protein) (C) in MKN45 and
MKN74 human cell lines. MKN45 cells were characterized by a slightly higher GPBAR1 mRNA expression than MKN74, FXR resulted express at very low levels
in both gastric cell lines. Values are normalized to GAPDH, the relative mRNA expression is expressed as 2(-ΔΔCt). Western Blot data was normalized with α-
Tubulin expression. (D-E) Transwell migration assay: MKN45 were seeded in a 6-well plate, starved and then primed with 10µM of Cholic Acid,
Chenodeoxycholic Acid, Ursodeoxycholic Acid, Taurolithocholic Acid, Taurodeoxycholic Acid and 6-ECDCA (D). In an another experimental setting, cells were
treated with Taurolithocholic Acid (1, 10 and 100µM), Taurodeoxycholic Acid (1, 10 and 100µM), 6-ECDCA (1, 10 and 50µM) for 72 hours (E)After the incubation
period 200 µl of cell suspension (2,5x105
cells/ml) were seeded in the upper chamber of the transwell. The lower chamber was filled with culture medium
containing 10% FBS as a chemoattractant. The invaded cells were fixed with methanol and stained with 0.1 % Toluidine blue solution and counted under a light
microscope (200×/10 fields for well). Experiments were performed in triplicate. All three ligands increased, in a dose-response manner, migration activity of
gastric cells in comparison with control cells . (F) MKN45 cells were plated and treated as described and used in a cell adhesion to peritoneum experiment. On
day 5, excised parietal peritoneum ( 1.6 cm2) was placed in a 24-well culture plate, filled with 1.0 ml of 1% BSA/RPMI 1640. Gastric cancer cells were∼
detached, fluorescently labeled with BCECF-AM (5 µM). 500µl of a suspension cells (5 x 105
cells/ml) were overlaid on the peritoneum in a 24-well plate, and
incubated at 37°C for 60 minutes. The cells adherent to the peritoneum were lysed with 1.0 ml of TRIS 50 mM plus SDS 1%; fluorescence intensity was
measured with a fluorescence spectrophotometer (Ex = 490 nm and Em = 520 nm). Experiments were conducted in triplicate. TLCA treatment of MKN45 cells
significantly increased cellular adhesiveness of gastric tumor cells to murine parietal peritoneum in a dose dependent manner.
Figure 3: Scratch wound healing was used to determine migration behavior in MKN45 cell line left untreated or stimulated
with CA, CDCA, TLCA, TDCA and 6E-CDCA 100 or 50 μM (A-B) In an another experimental setting, cells were treated
with an increasing dose of the same compounds (1,10 and 100μM) (C). After treatments, the cell monolayers were
scraped in a straight line using a p200 pipette tip in order to create a “scratch”. A wound was generated and imaged at 0
an 24 hours with a phase-contrast. Images obtained from each samples at both time points were analyzed using Image J
software and migration areas were expressed in pixels. All experiments were performed at least in triplicate. Wound
closure was significantly higher in treated cells, primarly with TLCA, TDCA and 6E-CDCA, and the migration increased in a
dose-response manner.
Figure 4: To further characterize the effects of GPBAR1 ligation in MKN45
cells, was used a gene array designed to analyze the expression of genes
related to tumor metastasis. The cDNA used for the array was obtained from
MKN45 cells (1x106
) plated, serum starved for 24 hours and then treated for 72
hours with 6-ECDCA 50µM, TLCA 100µM or OA 25µM. A comparative analysis
of effects exerted by the three GPBAR1 agonists, demonstrated that the three
agents shared a regulatory effect on a small number of genes. Array analysis
was carried out with the online software RT2 Profiler PCR Array Data Analysis (
http://pcrdataanalysis.sabiosciences.com/pcr/arrayanalysis.php).
Up-regulated/down-regulated genes were those genes whose expressions had
been altered by more than 1,9 fold.
Non tumor tissue
A. Metaplastic area high expression
Low/absent expression
Tumor with high expression
Tumor with low expression
Non-neoplastic
area
I-II III-IV
0
5
10
15
20
25
30
35
40
p=0.06
Cancer staging
GPBAR1mRNA
I-II III-IV
-1
0
1
2
3
4
5
6
7
8
9
10 Primary tumor
*p<0,5
Cancer staging
GPBAr1expression
With Without
0
10
20
30
Intestinal metaplasia
p=0.3
GPBAR1mRNA
C.
D.
E.
F.
G.
h M Φ MKN45 MKN74
0.0
0.5
1.0
GPBAR1
mRNArel.expression
HepG2 MKN45 MKN74
0.025
0.000
0.5
1.0
FXR
mRNArel.expression
GPBAR1
α-Tubulin
MKN45 MKN74
1 10 100 1 10 100 1 10 50
0
100
200
300
400
NT TLCA TDCA 6-ECDCA
*
*
*
*
*
*∆%vsNTcells
NT CA CDCA 6-ECDCA UDCA TLCA TDCA
0
100
200
300
*
*
*
*
*
(10µm)
∆%vsNTcells
1 10 100
0
10
20
30
40
50
60
70
NT TLCA
*
*
∆%vsNTcells
NT CA CDCA 6-ECDCA UDCA TLCA TDCA
0
10
20
30
40
50
(10µM)
*
*
*
*
∆%vsNTcells
1 10 100 1 10 100 1 10 100 1 10 100 1 10 50
0
10
20
30
40
50
NT CA CDCA TLCA TDCA 6E-CDCA
*
*
*
*
*
*
∆%vsNTcells
NT CA CDCA 6-ECDCA UDCA TLCA TDCA
0
10
20
30
40
50
(10µM)
*
*
∆%vsNTcells
TLCA
6-ECDCA
OA
U:1
D:3
U:0
D:1U:5
D:6
U:2
D:0
U:1
D:0
U:11
D:5
U:1
D:0
U:18; D:11
U:7 ; D:10
U:8; D:7
CDKN2A
HRAS
ITGB3
MMP10
MMP3
CD44
FAT1
MMP13
MMP7
MTSS1
RPSA
WB: P-EGFR
WB: EGFR
NT 30’15’ 18h60’
TLCA
Figure 8: Effects of TLCA on EGFR phosphorylation in MKN45 cells. Cells
treated with 100 µM of TLCA were harvested at the indicated time. Cell lysates
were immunoblotted with antibodies against phosphorylated EGFR (pEGFR)
and total EGFR. The exposure of MKN45 cells to TLCA, increases the
phosphorylation of EGFR in a time-dependent manner.
B.
NT TLCA TDCA
0.0
0.5
1.0
1.5
(100 µM)
Vimentin
mRNArel.expression
NT TLCA TDCA
0.0
0.5
1.0
1.5
(100 µM)
*
E-caderin
mRNArel.expression
NT TLCA TDCA
0
1
2
3
(100 µM)
*
N-caderin
mRNArel.expression
p < 0.05p < 0.05
Figure 5: We have then investigatedby a RT-PCRanalysis, whether GPBAR1 activation induces phenotypic changes consistent with
acquisition of a mesenchymal phenotype. MKN45 cells were plated and after 24 hours of starvation were stimulated for 72 hours with TLCA
and TDCA (100 µM). We found that exposing MKN45 cells to TLCA resulted in 50% percent reduction of E-cadherin mRNA (n= 4; P<0.05)
and ≈ 100% increase of N-cadherin(n=4; P<0.05) (A-B). No change was observed in the expression of vimentin (C).
NT TLCA - TLCA - TLCA
0
10
20
30
*
*
#
*
#
Cetuximab MEK Inhib
Cell/field20X
Figure 6: Blockade of EGFR signaling abrogate the increased MKN45 migration activity TLCA-
induced. MKN45 cells were treated with TLCA, the EFGR inhibitor cetuximab (alone or in
combination with TLCA) and the MAPK inhibitor U0126. Data obtained are reported as ∆%
compared to NT cells (* vs NT, # vs TLCA). (Figure 6).
Control TLCA - TLCA
0
5
10
15
20
25
**
*
Cetuximab
NumberofNodules
Control TLCA - TLCA
0
5
10
15
20
25
**
*
Cetuximab
NumberofNodules
Control TLCA - TLCA
-4
-3
-2
-1
0
Cetuximab
∆Weight(g)
Figure 7: We have investigated the role in cancer progression of the GPBAR1/EGFR signaling,in a murine model of peritoneal carcinomatosis.
MKN45 cells were left untreated or pretreated for with TLCA, Cetuximab or with the combination of both for 3 days and then implanted in the
peritoneum of NOD-SCID mice. (A-C) MKN45 cells stimulated with TLCA significantly increased the number and the volume of peritoneal nodules in
comparison to control cells, whereas the inhibition of EGF-R pathway by cetuximab almost completely abrogated MKN45 potential to form peritoneal
nodules . Cetuximab reverted the increased MKN45 cells metastatic ability induced by TLCA priming
NT CA CDCA TLCA TDCA 6-ECDCA
100μM 100μM 100μM 100μM 50μM
24h0h
C.
B.
A.
D.
E.
F.
NT 15' 30' 60' 18H
0
1
2
3
TLCA (100µM)
P-EGFR/EGFR
B.
A.
C.
A. B. C. A. B. C.