scholarly journals Dermal Papilla Cell-Derived Extracellular Vesicles Increase Hair Inductive Gene Expression in Adipose Stem Cells via β-Catenin Activation

Cells ◽  
2022 ◽  
Vol 11 (2) ◽  
pp. 202
Author(s):  
Taheruzzaman Kazi ◽  
Abir Nagata ◽  
Takatoshi Nakagawa ◽  
Takashi Matsuzaki ◽  
Shigeki Inui
Keyword(s):  
Gene Expression ◽  
Stem Cells ◽  
Cell Differentiation ◽  
Extracellular Vesicles ◽  
Smooth Muscle Actin ◽  
Expression Patterns ◽  
Dermal Papilla ◽  
Pcr Analysis ◽  
Alpha Smooth Muscle Actin ◽  
Dermal Papilla Cell

Recently, extracellular vesicle (EV)-mediated cell differentiation has gained attention in developmental biology due to genetic exchange between donor cells and recipient cells via transfer of mRNA and miRNA. EVs, also known as exosomes, play a role in maintaining paracrine cell communication and can induce cell proliferation and differentiation. However, it remains unclear whether adipose-derived stem cells (ASCs) can adopt dermal papilla (DP)-like properties with dermal papilla cell-derived extracellular vesicles (DPC-EVs). To understand the effect of DPC-EVs on cell differentiation, DPC-EVs were characterized and incubated with ASCs, of monolayer and spheroid cell cultures, in combination with the CAO1/2FP medium specialized for dermal papilla cells (DPCs). DPC-like properties in ASCs were initially evaluated by comparing several genes and proteins with those of DPCs via real-time PCR analysis and immunostaining, respectively. We also evaluated the presence of hair growth-related microRNAs (miRNAs), specifically mir-214-5P, mir-218-5p, and mir-195-5P. Here, we found that miRNA expression patterns varied in DPC-EVs from passage 4 (P4) or P5. In addition, DPC-EVs in combination with CAP1/2FP accelerated ASC proliferation at low concentrations and propagated hair inductive gene expression for versican (vcan), alpha-smooth muscle actin (α-sma), osteopontin (opn), and N-Cam (ncam). Comparison between the expression of hair inductive genes (vcan, α-sma, ctnb, and others), the protein VCAN, α-SMA and β-Catenin (CTNB), and hair inductive miRNAs (mir-214-5P, mir-218-5p, and mir-195-5p) of DPC-EVs revealed similarities between P4 DPC-EVs-treated ASCs and DPCs. We concluded that early passage DPC-EVs, in combination with CAP1/2FP, enabled ASCs to transdifferentiate into DPC-like cells.

Abstract P107: Hypertension Enhances the Differentiation of Cardiac Fibroblasts Into Myofibroblasts After TGF-beta1 Treatment

Hypertension ◽  
2016 ◽  
Vol 68 (suppl_1) ◽  
Author(s):  
Gianluca L Perrucci ◽  
Maria Corlian!ò ◽  
Delfina Tosi ◽  
Patrizia Nigro ◽  
Gaetano Bulfamante ◽  
...  
Keyword(s):  
Gene Expression ◽  
Protein Expression ◽  
Cardiac Fibrosis ◽  
Cardiac Fibroblasts ◽  
Smooth Muscle Actin ◽  
Pcr Analysis ◽  
Alpha Smooth Muscle Actin ◽  
Qrt Pcr ◽  
Gene And Protein Expression

Objectives: In cardiac fibrosis associated with hypertension, TGF-beta1 plays a key role by acting on differentiation of cardiac fibroblasts (CF) into alpha-smooth muscle actin (alpha-SMA)-positive myofibroblasts. In this study, we tested the effect of TGF-beta1 during the myofibroblast differentiation process of CF from normotensive and hypertensive rats. Methods: CF were obtained by enzymatic digestion of hearts isolated from Spontaneously Hypertensive (hCF) and normotensive Wistar Kyoto (nCF) rats (n=5 rat/group). Gene and protein expression in CF was evaluated by Western blot and qRT-PCR analyses, respectively. Immunohistochemistry analysis for integrin alpha-v beta-5 was performed on rat cardiac tissue (n=5 rat/group). Results: Cultured hCF showed an enhanced SMAD2/3 activation and alpha-SMA protein expression after treatment with TGF-beta1 (5 ng/ml) in comparison with nCF. Alpha-SMA up-regulation was further confirmed by qRT-PCR analysis that showed a significant increase in alpha-SMA gene expression in hCF after TGF-beta1 treatment (2.78±0.25 vs 2.01±0.21 fold increase, p <0.05). Moreover, immunostaining on cardiac tissues revealed a higher expression of integrin alpha-v beta-5 in hypertensive vs normotensive rat hearts (345.3±170.0 vs 48.2±22.3 mm 2 of integrin-positive area, p <0.05). This result was also confirmed in vitro ; indeed, integrin alpha-v beta-5 gene expression in hCF increased 2.8-fold in basal condition and 5.12-fold after TGF-beta1 treatment when compared to untreated nCF. Conclusions: Taken together, these results suggest that hCF are more prone to upregulate integrin alpha-v beta-5 and consequently differentiate into myofibroblasts in vitro under TGF-beta1 treatment. Thus, targeting alpha-v beta-5 might open a novel prospective for the treatment of fibrosis in hypertensive hearts likely reducing integrin-mediated TGF-beta1 activation.

scholarly journals A Mouse Model for Studying Stem Cell Effects on Regeneration of Hair Follicle Outer Root Sheaths

2020 ◽  
Vol 15 (1) ◽  
pp. 41-50
Author(s):  
Jingxu Guo ◽  
Shuwei Li ◽  
Hongyang Wang ◽  
Tinghui Wu ◽  
Zhenhui Wu ◽  
...  
Keyword(s):  
Stem Cells ◽  
Stem Cell ◽  
Mouse Model ◽  
Hair Follicle ◽  
Smooth Muscle Actin ◽  
Hair Follicles ◽  
Alpha Smooth Muscle Actin ◽  
Papillary Structure ◽  
Glass Membrane

AbstractObjectiveStem cells hold promise for treating hair loss. Here an in vitro mouse model was developed using outer root sheaths (ORSs) isolated from hair follicles for studying stem cell-mediated dermal papillary regeneration.MethodsUnder sterile conditions, structurally intact ORSs were isolated from hair follicles of 3-day-old Kunming mice and incubated in growth medium. Samples were collected daily for 5 days. Stem cell distribution, proliferation, differentiation, and migration were monitored during regeneration.ResultsCell proliferation began at the glass membrane periphery then spread gradually toward the membrane center, with the presence of CD34 and CD200 positive stem cells involved in repair initiation. Next, CD34 positive stem cells migrated down the glass membrane, where some participated in ORS formation, while other CD34 cells and CD200 positive cells migrated to hair follicle centers. Within the hair follicle matrix, stem cells divided, grew, differentiated and caused outward expansion of the glass membrane to form a dermal papillary structure containing alpha-smooth muscle actin. Neutrophils attracted to the wound site phagocytosed bacterial and cell debris to protect regenerating tissue from infection.ConclusionIsolated hair follicle ORSs can regenerate new dermal papillary structures in vitro. Stem cells and neutrophils play important roles in the regeneration process.

scholarly journals Cutting Edge: Polycomb Gene Expression Patterns Reflect Distinct B Cell Differentiation Stages in Human Germinal Centers

2000 ◽  
Vol 164 (1) ◽  
pp. 1-4 ◽  
Author(s):  
Frank M. Raaphorst ◽  
Folkert J. van Kemenade ◽  
Elly Fieret ◽  
Karien M. Hamer ◽  
David P. E. Satijn ◽  
...  
Keyword(s):  
Gene Expression ◽  
Cell Differentiation ◽  
B Cell ◽  
Expression Patterns ◽  
Germinal Centers ◽  
Cutting Edge ◽  
Gene Expression Patterns ◽  
B Cell Differentiation

scholarly journals Comparison of Effects on Gene Expression Activity of Low-Molecular-Weight Lychee Fruit Polyphenol (Oligonol®), Adenosine, and Minoxidil in Human Dermal Papilla Cells

2017 ◽  
Vol 3 (1) ◽  
pp. 5 ◽  
Author(s):  
Koji Wakame ◽  
Akifumi Nakata ◽  
Keisuke Sato ◽  
Yoshihiro Mihara ◽  
Jun Takanari ◽  
...  
Keyword(s):  
Cell Lines ◽  
Dna Microarrays ◽  
Food Product ◽  
Dermal Papilla ◽  
Pcr Analysis ◽  
Low Molecular Weight ◽  
Dermal Papilla Cells ◽  
Dermal Papilla Cell ◽  
Expression Of Genes ◽  
Expression Activity

Background: Oligonol® (OLG) is a functional food product and ingredient for cosmetics derived from a lychee fruit polyphenol. It has been reported to act on the skin as an anti-inflammatory and prevent UVB-induced skin damage.Aim: In this study, with the aim of exploring new functionalities of OLG on the scalp, we investigated the effect of OLG on human dermal papilla cells by comparing with adenosine and minoxidil at the genetic level.Method: OLG, adenosine, and minoxidil were applied to human dermal papilla cell lines for 24 h, after which VEGF, FGF-7, WNT5a, and WNT10a mRNA expressions were measured by real-time PCR analysis. Additionally, using DNA microarrays, we investigated the effect on 205 inflammation-related genes.Result: Consequently, in human dermal papilla cell lines, FGF-7 and WNT10a mRNA expression were observed in 100 µg/mL OLG-supplemented cells. The results of the DNA microarray analysis showed that 10 genes were suppressed by OLG.Conclusions: OLG may be expected to affect function of human dermal papilla cell by regulating the expression of genes related to cell proliferation and inflammation.

scholarly journals Characterization of Gene Expression Patterns among Artificially Developed Cancer Stem Cells Using Spherical Self-Organizing Map

2016 ◽  
Vol 15 ◽  
pp. CIN.S39839 ◽  
Author(s):  
Akimasa Seno ◽  
Tomonari Kasai ◽  
Masashi Ikeda ◽  
Arun Vaidyanath ◽  
Junko Masuda ◽  
...  
Keyword(s):  
Gene Expression ◽  
Stem Cells ◽  
Cancer Stem Cells ◽  
Human Cancer ◽  
Expression Patterns ◽  
Embryonic Stem ◽  
Culture Conditions ◽  
Self Organizing Map ◽  
Cancer Tissues ◽  
Self Organizing

We performed gene expression microarray analysis coupled with spherical self-organizing map (sSOM) for artificially developed cancer stem cells (CSCs). The CSCs were developed from human induced pluripotent stem cells (hiPSCs) with the conditioned media of cancer cell lines, whereas the CSCs were induced from primary cell culture of human cancer tissues with defined factors ( OCT3/4, SOX2, and KLF4). These cells commonly expressed human embryonic stem cell (hESC)/hiPSC-specific genes ( POU5F1, SOX2, NANOG, LIN28, and SALL4) at a level equivalent to those of control hiPSC 201B7. The sSOM with unsupervised method demonstrated that the CSCs could be divided into three groups based on their culture conditions and original cancer tissues. Furthermore, with supervised method, sSOM nominated TMED9, RNASE1, NGFR, ST3GAL1, TNS4, BTG2, SLC16A3, CD177, CES1, GDF15, STMN2, FAM20A, NPPB, CD99, MYL7, PRSS23, AHNAK, and LOC152573 genes commonly upregulating among the CSCs compared to hiPSC, suggesting the gene signature of the CSCs.

110 Temporal Changes in Endometrial Gene Expression Between Ipsi- and Contralateral Uterine Horns in Cattle

2018 ◽  
Vol 30 (1) ◽  
pp. 194
Author(s):  
J. M. Sánchez ◽  
C. Passaro ◽  
N. Forde ◽  
S. Behura ◽  
J. A. Browne ◽  
...  
Keyword(s):  
Gene Expression ◽  
Stem Cells ◽  
Luteal Phase ◽  
Expression Patterns ◽  
Uterine Horn ◽  
Oestrous Cycle ◽  
Signalling Pathway ◽  
Signalling Pathways ◽  
Robust Analysis ◽  
The Impact

The transfer of an embryo into the uterine horn contralateral to the ovary bearing the corpus luteum has been associated with a decreased pregnancy rate in cattle compared with transfer into the ipsilateral horn. These findings suggest that the environment in the contralateral horn is less conducive to supporting conceptus development than that of the ipsilateral horn. Therefore, this study compared the endometrial transcriptome of the ipsi- and contralateral uterine horns during the luteal phase. Endometrial samples from the ipsi- (IPSI) and contralateral (CONTRA) horns were collected from synchronized nonpregnant beef heifers on Days 5, 7, 13 or 16 post-oestrus (n = 5 heifers per time point). Total RNA was isolated and sequenced. Differences in the transcriptome were determined by edgeR-robust analysis. Principal component analysis found that IPSI and CONTRA have distinct patterns of gene expression on each day, with Day 5 exhibiting the most variation and Day 16 being least variable. Further, the 2 uterine horns had distinct expression patterns on Day 5, with IPSI exhibiting significantly higher variation in gene expression compared twitho CONTRA. EdgeR-robust analysis found 217 (201 up- and 16 down-regulated), 54 (44 up- and 10 down-regulated), 14 (13 up- and 1 down-regulated), and 18 (14 up- and 4 down-regulated) differentially expressed genes (DEG; >2-fold change, false discovery rate P < 0.05) between IPSI and CONTRA endometria on Days 5, 7, 13, and 16 of the oestrous cycle, respectively. The top 5 canonical pathways associated with DEG between IPSI and CONTRA during the luteal phase of the oestrous cycle were involved in signalling pathways regulating pluripotency of stem cells (73/138), progesterone-mediated oocyte maturation (55/89), endometrial cancer (31/51), ErbB signalling pathway (50/87), and mTOR signalling pathway (36/61). The impact of DEG on signalling pathways was assessed using a pathway perturbation algorithm called Signalling Pathway Impact Analysis (SPIA). This topology-based pathway analysis was conducted using the Bioconductor ToPAseq package (https://bioconductor.org/packages/release/bioc/html/ToPASeq.html) and revealed that signalling pathways regulating pluripotency of stem cells showed the highest perturbation score when IPSI was compared with CONTRA irrespective of day. Discovering and cataloguing which pathways are perturbed in each uterine horn throughout the oestrous cycle may contribute to our understanding of the mechanisms underlying early embryonic loss. Ths study was supported by Science Foundation Ireland (13/IA/1983) and the Irish Department of Agriculture, Food and The Marine (13S528).

scholarly journals Impact of AHR Ligand TCDD on Human Embryonic Stem Cells and Early Differentiation

2020 ◽  
Vol 21 (23) ◽  
pp. 9052
Author(s):  
Indrek Teino ◽  
Antti Matvere ◽  
Martin Pook ◽  
Inge Varik ◽  
Laura Pajusaar ◽  
...  
Keyword(s):  
Gene Expression ◽  
Stem Cells ◽  
Embryonic Stem Cells ◽  
Human Embryonic Stem Cells ◽  
Target Genes ◽  
Expression Patterns ◽  
Embryonic Stem ◽  
Stem Cell Differentiation ◽  
Cell Types ◽  
Early Differentiation

Aryl hydrocarbon receptor (AHR) is a ligand-activated transcription factor, which mediates the effects of a variety of environmental stimuli in multiple tissues. Recent advances in AHR biology have underlined its importance in cells with high developmental potency, including pluripotent stem cells. Nonetheless, there is little data on AHR expression and its role during the initial stages of stem cell differentiation. The purpose of this study was to investigate the temporal pattern of AHR expression during directed differentiation of human embryonic stem cells (hESC) into neural progenitor, early mesoderm and definitive endoderm cells. Additionally, we investigated the effect of the AHR agonist 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD) on the gene expression profile in hESCs and differentiated cells by RNA-seq, accompanied by identification of AHR binding sites by ChIP-seq and epigenetic landscape analysis by ATAC-seq. We showed that AHR is differentially regulated in distinct lineages. We provided evidence that TCDD alters gene expression patterns in hESCs and during early differentiation. Additionally, we identified novel potential AHR target genes, which expand our understanding on the role of this protein in different cell types.

scholarly journals Developmental scRNAseq Trajectories in Gene- and Cell-State Space—The Flatworm Example

Genes ◽  
2020 ◽  
Vol 11 (10) ◽  
pp. 1214 ◽  
Author(s):  
Maria Schmidt ◽  
Henry Loeffler-Wirth ◽  
Hans Binder
Keyword(s):  
Stem Cells ◽  
Cell Differentiation ◽  
State Space ◽  
Vector Fields ◽  
Expression Patterns ◽  
Standard Technique ◽  
Tissue Development ◽  
Data Types ◽  
Cross Sectional ◽  
Cell State

Single-cell RNA sequencing has become a standard technique to characterize tissue development. Hereby, cross-sectional snapshots of the diversity of cell transcriptomes were transformed into (pseudo-) longitudinal trajectories of cell differentiation using computational methods, which are based on similarity measures distinguishing cell phenotypes. Cell development is driven by alterations of transcriptional programs e.g., by differentiation from stem cells into various tissues or by adapting to micro-environmental requirements. We here complement developmental trajectories in cell-state space by trajectories in gene-state space to more clearly address this latter aspect. Such trajectories can be generated using self-organizing maps machine learning. The method transforms multidimensional gene expression patterns into two dimensional data landscapes, which resemble the metaphoric Waddington epigenetic landscape. Trajectories in this landscape visualize transcriptional programs passed by cells along their developmental paths from stem cells to differentiated tissues. In addition, we generated developmental “vector fields” using RNA-velocities to forecast changes of RNA abundance in the expression landscapes. We applied the method to tissue development of planarian as an illustrative example. Gene-state space trajectories complement our data portrayal approach by (pseudo-)temporal information about changing transcriptional programs of the cells. Future applications can be seen in the fields of tissue and cell differentiation, ageing and tumor progression and also, using other data types such as genome, methylome, and also clinical and epidemiological phenotype data.

scholarly journals Machine learning integration of scleroderma histology and gene expression identifies fibroblast polarisation as a hallmark of clinical severity and improvement

2020 ◽  
pp. annrheumdis-2020-217840 ◽  
Author(s):  
Kimberly Showalter ◽  
Robert Spiera ◽  
Cynthia Magro ◽  
Phaedra Agius ◽  
Viktor Martyanov ◽  
...  
Keyword(s):  
Gene Expression ◽  
Machine Learning ◽  
Systemic Sclerosis ◽  
Clinical Improvement ◽  
Smooth Muscle Actin ◽  
Clinical Severity ◽  
Support Vector ◽  
Alpha Smooth Muscle Actin ◽  
Modified Rodnan Skin Score ◽  
Diffuse Cutaneous Systemic Sclerosis

ObjectiveWe sought to determine histologic and gene expression features of clinical improvement in early diffuse cutaneous systemic sclerosis (dcSSc; scleroderma).MethodsFifty-eight forearm biopsies were evaluated from 26 individuals with dcSSc in two clinical trials. Histologic/immunophenotypic assessments of global severity, alpha-smooth muscle actin (aSMA), CD34, collagen, inflammatory infiltrate, follicles and thickness were compared with gene expression and clinical data. Support vector machine learning was performed using scleroderma gene expression subset (normal-like, fibroproliferative, inflammatory) as classifiers and histology scores as inputs. Comparison of w-vector mean absolute weights was used to identify histologic features most predictive of gene expression subset. We then tested for differential gene expression according to histologic severity and compared those with clinical improvement (according to the Combined Response Index in Systemic Sclerosis).ResultsaSMA was highest and CD34 lowest in samples with highest local Modified Rodnan Skin Score. CD34 and aSMA changed significantly from baseline to 52 weeks in clinical improvers. CD34 and aSMA were the strongest predictors of gene expression subset, with highest CD34 staining in the normal-like subset (p<0.001) and highest aSMA staining in the inflammatory subset (p=0.016). Analysis of gene expression according to CD34 and aSMA binarised scores identified a 47-gene fibroblast polarisation signature that decreases over time only in improvers (vs non-improvers). Pathway analysis of these genes identified gene expression signatures of inflammatory fibroblasts.ConclusionCD34 and aSMA stains describe distinct fibroblast polarisation states, are associated with gene expression subsets and clinical assessments, and may be useful biomarkers of clinical severity and improvement in dcSSc.

scholarly journals MicroRNA and gene expression patterns in the differentiation of human embryonic stem cells

2009 ◽  
Vol 7 (1) ◽  
pp. 20 ◽  
Author(s):  
Jiaqiang Ren ◽  
Ping Jin ◽  
Ena Wang ◽  
Francesco M Marincola ◽  
David F Stroncek
Keyword(s):  
Gene Expression ◽  
Stem Cells ◽  
Embryonic Stem Cells ◽  
Human Embryonic Stem Cells ◽  
Expression Patterns ◽  
Embryonic Stem ◽  
Gene Expression Patterns
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