1
|
Pixelated Microfluidics for Drug Screening on Tumour Spheroids and Ex Vivo Microdissected Tumour Explants. Cancers (Basel) 2023; 15:cancers15041060. [PMID: 36831403 PMCID: PMC9954565 DOI: 10.3390/cancers15041060] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Revised: 01/27/2023] [Accepted: 02/03/2023] [Indexed: 02/10/2023] Open
Abstract
Anticancer drugs have the lowest success rate of approval in drug development programs. Thus, preclinical assays that closely predict the clinical responses to drugs are of utmost importance in both clinical oncology and pharmaceutical research. 3D tumour models preserve the tumoral architecture and are cost- and time-efficient. However, the short-term longevity, limited throughput, and limitations of live imaging of these models have so far driven researchers towards less realistic tumour models such as monolayer cell cultures. Here, we present an open-space microfluidic drug screening platform that enables the formation, culture, and multiplexed delivery of several reagents to various 3D tumour models, namely cancer cell line spheroids and ex vivo primary tumour fragments. Our platform utilizes a microfluidic pixelated chemical display that creates isolated adjacent flow sub-units of reagents, which we refer to as fluidic 'pixels', over tumour models in a contact-free fashion. Up to nine different treatment conditions can be tested over 144 samples in a single experiment. We provide a proof-of-concept application by staining fixed and live tumour models with multiple cellular dyes. Furthermore, we demonstrate that the response of the tumour models to biological stimuli can be assessed using the platform. Upscaling the microfluidic platform to larger areas can lead to higher throughputs, and thus will have a significant impact on developing treatments for cancer.
Collapse
|
2
|
Gough P, Myles IA. Tumor Necrosis Factor Receptors: Pleiotropic Signaling Complexes and Their Differential Effects. Front Immunol 2020; 11:585880. [PMID: 33324405 PMCID: PMC7723893 DOI: 10.3389/fimmu.2020.585880] [Citation(s) in RCA: 122] [Impact Index Per Article: 30.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2020] [Accepted: 11/02/2020] [Indexed: 12/15/2022] Open
Abstract
Since its discovery in 1975, TNFα has been a subject of intense study as it plays significant roles in both immunity and cancer. Such attention is well deserved as TNFα is unique in its engagement of pleiotropic signaling via its two receptors: TNFR1 and TNFR2. Extensive research has yielded mechanistic insights into how a single cytokine can provoke a disparate range of cellular responses, from proliferation and survival to apoptosis and necrosis. Understanding the intracellular signaling pathways induced by this single cytokine via its two receptors is key to further revelation of its exact functions in the many disease states and immune responses in which it plays a role. In this review, we describe the signaling complexes formed by TNFR1 and TNFR2 that lead to each potential cellular response, namely, canonical and non-canonical NF-κB activation, apoptosis and necrosis. This is followed by a discussion of data from in vivo mouse and human studies to examine the differential impacts of TNFR1 versus TNFR2 signaling.
Collapse
Affiliation(s)
- Portia Gough
- Epithelial Therapeutics Unit, National Institute of Allergy and Infectious Disease, National Institutes of Health, Bethesda, MD, United States
| | - Ian A Myles
- Epithelial Therapeutics Unit, National Institute of Allergy and Infectious Disease, National Institutes of Health, Bethesda, MD, United States
| |
Collapse
|
3
|
Kim SM, Taneja C, Perez-Pena H, Ryu V, Gumerova A, Li W, Ahmad N, Zhu LL, Liu P, Mathew M, Korkmaz F, Gera S, Sant D, Hadelia E, Ievleva K, Kuo TC, Miyashita H, Liu L, Tourkova I, Stanley S, Lizneva D, Iqbal J, Sun L, Tamler R, Blair HC, New MI, Haider S, Yuen T, Zaidi M. Repurposing erectile dysfunction drugs tadalafil and vardenafil to increase bone mass. Proc Natl Acad Sci U S A 2020; 117:14386-14394. [PMID: 32513693 PMCID: PMC7321982 DOI: 10.1073/pnas.2000950117] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
We report that two widely-used drugs for erectile dysfunction, tadalafil and vardenafil, trigger bone gain in mice through a combination of anabolic and antiresorptive actions on the skeleton. Both drugs were found to enhance osteoblastic bone formation in vivo using a unique gene footprint and to inhibit osteoclast formation. The target enzyme, phosphodiesterase 5A (PDE5A), was found to be expressed in mouse and human bone as well as in specific brain regions, namely the locus coeruleus, raphe pallidus, and paraventricular nucleus of the hypothalamus. Localization of PDE5A in sympathetic neurons was confirmed by coimmunolabeling with dopamine β-hydroxylase, as well as by retrograde bone-brain tracing using a sympathetic nerve-specific pseudorabies virus, PRV152. Both drugs elicited an antianabolic sympathetic imprint in osteoblasts, but with net bone gain. Unlike in humans, in whom vardenafil is more potent than tadalafil, the relative potencies were reversed with respect to their osteoprotective actions in mice. Structural modeling revealed a higher binding energy of tadalafil to mouse PDE5A compared with vardenafil, due to steric clashes of vardenafil with a single methionine residue at position 806 in mouse PDE5A. Collectively, our findings suggest that a balance between peripheral and central actions of PDE5A inhibitors on bone formation together with their antiresorptive actions specify the osteoprotective action of PDE5A blockade.
Collapse
Affiliation(s)
- Se-Min Kim
- The Mount Sinai Bone Program, Icahn School of Medicine at Mount Sinai, New York, NY 10029;
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029
| | - Charit Taneja
- The Mount Sinai Bone Program, Icahn School of Medicine at Mount Sinai, New York, NY 10029
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029
| | - Helena Perez-Pena
- Department of Pharmaceutical and Biological Chemistry, University College London School of Pharmacy, WC1N 1AX London, United Kingdom
| | - Vitaly Ryu
- The Mount Sinai Bone Program, Icahn School of Medicine at Mount Sinai, New York, NY 10029
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029
| | - Anisa Gumerova
- The Mount Sinai Bone Program, Icahn School of Medicine at Mount Sinai, New York, NY 10029
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029
| | - Wenliang Li
- Department of Pharmaceutical and Biological Chemistry, University College London School of Pharmacy, WC1N 1AX London, United Kingdom
| | - Naseer Ahmad
- The Mount Sinai Bone Program, Icahn School of Medicine at Mount Sinai, New York, NY 10029
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029
| | - Ling-Ling Zhu
- The Mount Sinai Bone Program, Icahn School of Medicine at Mount Sinai, New York, NY 10029
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029
| | - Peng Liu
- The Mount Sinai Bone Program, Icahn School of Medicine at Mount Sinai, New York, NY 10029
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029
| | - Mehr Mathew
- The Mount Sinai Bone Program, Icahn School of Medicine at Mount Sinai, New York, NY 10029
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029
| | - Funda Korkmaz
- The Mount Sinai Bone Program, Icahn School of Medicine at Mount Sinai, New York, NY 10029
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029
| | - Sakshi Gera
- The Mount Sinai Bone Program, Icahn School of Medicine at Mount Sinai, New York, NY 10029
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029
| | - Damini Sant
- The Mount Sinai Bone Program, Icahn School of Medicine at Mount Sinai, New York, NY 10029
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029
| | - Elina Hadelia
- The Mount Sinai Bone Program, Icahn School of Medicine at Mount Sinai, New York, NY 10029
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029
| | - Kseniia Ievleva
- The Mount Sinai Bone Program, Icahn School of Medicine at Mount Sinai, New York, NY 10029
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029
- Department of Reproductive Health, Scientific Center for Family Health and Human Reproduction Problems, 664003 Irkutsk, Russian Federation
| | - Tan-Chun Kuo
- The Mount Sinai Bone Program, Icahn School of Medicine at Mount Sinai, New York, NY 10029
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029
| | - Hirotaka Miyashita
- The Mount Sinai Bone Program, Icahn School of Medicine at Mount Sinai, New York, NY 10029
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029
| | - Li Liu
- Department of Pathology, Pittsburgh Veterans Affairs Healthcare System, Pittsburgh, PA 15240
- Department of Pathology, University of Pittsburgh, Pittsburgh, PA 15261
| | - Irina Tourkova
- Department of Pathology, Pittsburgh Veterans Affairs Healthcare System, Pittsburgh, PA 15240
- Department of Pathology, University of Pittsburgh, Pittsburgh, PA 15261
| | - Sarah Stanley
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029
| | - Daria Lizneva
- The Mount Sinai Bone Program, Icahn School of Medicine at Mount Sinai, New York, NY 10029
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029
| | - Jameel Iqbal
- The Mount Sinai Bone Program, Icahn School of Medicine at Mount Sinai, New York, NY 10029
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029
| | - Li Sun
- The Mount Sinai Bone Program, Icahn School of Medicine at Mount Sinai, New York, NY 10029
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029
| | - Ronald Tamler
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029
| | - Harry C Blair
- Department of Pathology, Pittsburgh Veterans Affairs Healthcare System, Pittsburgh, PA 15240
- Department of Pathology, University of Pittsburgh, Pittsburgh, PA 15261
| | - Maria I New
- The Mount Sinai Bone Program, Icahn School of Medicine at Mount Sinai, New York, NY 10029;
- Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, NY 10029
| | - Shozeb Haider
- Department of Pharmaceutical and Biological Chemistry, University College London School of Pharmacy, WC1N 1AX London, United Kingdom
| | - Tony Yuen
- The Mount Sinai Bone Program, Icahn School of Medicine at Mount Sinai, New York, NY 10029
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029
| | - Mone Zaidi
- The Mount Sinai Bone Program, Icahn School of Medicine at Mount Sinai, New York, NY 10029
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029
| |
Collapse
|
4
|
Alameddine AK, Conlin F, Binnall B. An Introduction to the Mathematical Modeling in the Study of Cancer Systems Biology. Cancer Inform 2018; 17:1176935118799754. [PMID: 30224860 PMCID: PMC6136108 DOI: 10.1177/1176935118799754] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2018] [Accepted: 08/18/2018] [Indexed: 01/02/2023] Open
Abstract
BACKGROUND Frequently occurring in cancer are the aberrant alterations of regulatory onco-metabolites, various oncogenes/epigenetic stochasticity, and suppressor genes, as well as the deficient mismatch repair mechanism, chronic inflammation, or those deviations belonging to the other cancer characteristics. How these aberrations that evolve overtime determine the global phenotype of malignant tumors remains to be completely understood. Dynamic analysis may have potential to reveal the mechanism of carcinogenesis and can offer new therapeutic intervention. AIMS We introduce simplified mathematical tools to model serial quantitative data of cancer biomarkers. We also highlight an introductory overview of mathematical tools and models as they apply from the viewpoint of known cancer features. METHODS Mathematical modeling of potentially actionable genomic products and how they proceed overtime during tumorigenesis are explored. This report is intended to be instinctive without being overly technical. RESULTS To date, many mathematical models of the common features of cancer have been developed. However, the dynamic of integrated heterogeneous processes and their cross talks related to carcinogenesis remains to be resolved. CONCLUSIONS In cancer research, outlining mathematical modeling of experimentally obtained data snapshots of molecular species may provide insights into a better understanding of the multiple biochemical circuits. Recent discoveries have provided support for the existence of complex cancer progression in dynamics that span from a simple 1-dimensional deterministic system to a stochastic (ie, probabilistic) or to an oscillatory and multistable networks. Further research in mathematical modeling of cancer progression, based on the evolving molecular kinetics (time series), could inform a specific and a predictive behavior about the global systems biology of vulnerable tumor cells in their earlier stages of oncogenesis. On this footing, new preventive measures and anticancer therapy could then be constructed.
Collapse
Affiliation(s)
| | - Frederick Conlin
- Department of Anesthesiology, Baystate
Medical Center, Springfield, MA, USA
- Division of Cardiac Surgery, University
of Massachusetts Medical School, Worcester, MA, USA
| | - Brian Binnall
- Division of Cardiac Surgery, Baystate
Medical Center, Springfield, MA, USA
| |
Collapse
|
5
|
Iqbal J, Yuen T, Sun L, Zaidi M. From the gut to the strut: where inflammation reigns, bone abstains. J Clin Invest 2016; 126:2045-8. [PMID: 27111233 DOI: 10.1172/jci87430] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
In this issue of the JCI, Li et al. show that germ-free mice, when chemically castrated, do not lose bone - a finding that unequivocally establishes a role of gut microbiota in mediating hypogonadal bone loss. Additionally and not unexpectedly, probiotics reversed hypogonadal osteopenia in sex steroid-deficient mice by preventing the disruption of gut barrier function and dampening cytokine-induced inflammation. The authors propose that TNFα is a key mediator; however, it is very likely that other molecules - including IL-1, IL-6, IL-17, RANKL, OPG, and CCL2 - modulate probiotic action. The results of this study highlight the potential for repurposing probiotics for the therapy of osteoporosis. Future placebo-controlled clinical trials will be required to establish safety and efficacy of probiotics in reducing fracture risk in people.
Collapse
|
6
|
Kok K, Arnosti DN. Dynamic reprogramming of chromatin: paradigmatic palimpsests and HES factors. Front Genet 2015; 6:29. [PMID: 25713582 PMCID: PMC4322839 DOI: 10.3389/fgene.2015.00029] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2014] [Accepted: 01/20/2015] [Indexed: 12/02/2022] Open
Abstract
Temporal and spatial control of transcription in development is dictated to a great extent by transcriptional repressors. Some repressor complexes, such as Polycomp-group proteins, induce relatively long-term non-permissive states, whereas others such as hairy/enhancer of split (HES) family repressors are linked to dynamically modulated chromatin states associated with cycling expression of target genes. The mode of action and specificity of repressors involved in mediating this latter form of epigenetic control are unknown. Oscillating expression of HES repressors controlled by signaling pathways such as Notch suggests that the entire ensemble of HES–associated co-repressors and histone modifying complexes readily cycle on and off genes. Dynamic interactions between these factors and chromatin seem to be crucial in maintaining multipotency of progenitor cells, but the significance of such interactions in more differentiated cells is less well understood. We discuss here how genome-wide analyses and real-time gene expression measurements of HES regulated genes can help decipher the detailed mechanisms and biological importance of highly dynamic transcriptional switching mediated by epigenetic changes.
Collapse
Affiliation(s)
- Kurtulus Kok
- Genetics Program, Michigan State University , East Lansing, MI, USA
| | - David N Arnosti
- Genetics Program, Michigan State University , East Lansing, MI, USA ; Department of Biochemistry and Molecular Biology, Michigan State University , East Lansing, MI, USA
| |
Collapse
|
7
|
Grabias BM, Konstantopoulos K. The physical basis of renal fibrosis: effects of altered hydrodynamic forces on kidney homeostasis. Am J Physiol Renal Physiol 2013; 306:F473-85. [PMID: 24352503 DOI: 10.1152/ajprenal.00503.2013] [Citation(s) in RCA: 38] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
Healthy kidneys are continuously exposed to an array of physical forces as they filter the blood: shear stress along the inner lumen of the tubules, distension of the tubular walls in response to changing fluid pressures, and bending moments along both the cilia and microvilli of individual epithelial cells that comprise the tubules. Dysregulation of kidney homeostasis via underlying medical conditions such as hypertension, diabetes, or glomerulonephritis fundamentally elevates the magnitudes of each principle force in the kidney and leads to fibrotic scarring and eventual loss of organ function. The purpose of this review is to summarize the progress made characterizing the response of kidney cells to pathological levels of mechanical stimuli. In particular, we examine important, mechanically responsive signaling cascades and explore fundamental changes in renal cell homeostasis after cyclic strain or fluid shear stress exposure. Elucidating the effects of these disease-related mechanical imbalances on endogenous signaling events in kidney cells presents a unique opportunity to better understand the fibrotic process.
Collapse
Affiliation(s)
- Bryan M Grabias
- Dept. of Chemical and Biomolecular Engineering, The Johns Hopkins Univ., New Engineering Bldg. 114, 3400 N. Charles St., Baltimore, MD 21218.
| | | |
Collapse
|
8
|
Oshlag JZ, Devasthanam AS, Tomasi TB. Mild hyperthermia enhances the expression and induces oscillations in the Dicer protein. Int J Hyperthermia 2013; 29:51-61. [PMID: 23311378 DOI: 10.3109/02656736.2012.753471] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
PURPOSE To investigate whether mild heat stress at 39.5°C altered Dicer protein and miRNA expression patterns in several cell types. METHODS Multiple human and mouse cell types were cultured during the course of 9 h at temperatures from 37°C to 39.5°C. Dicer mRNA levels and microRNAs were quantified by TaqMan RT-qPCR assays and Dicer protein by western blotting. RESULTS Dicer protein was substantially elevated on western analysis in response to heat stress at 39.5°C in the absence of significant changes in Dicer mRNA by RT-qPCR. CONCLUSIONS Heat-induced regulation of Dicer expression occurs primarily post- transcriptionally, and the expression levels of Dicer protein are increased and often oscillate in response to fever-range hyperthermia in multiple mouse and human cells. Our studies suggest a potential role for Dicer and microRNAs in the response to mild thermal stress. Additional studies on the mechanisms involved in the stress-induced oscillations of Dicer protein and microRNAs will be of interest.
Collapse
Affiliation(s)
- Julian Z Oshlag
- Laboratory of Molecular Medicine, Department of Immunology, Roswell Park Cancer Institute, Buffalo, New York 14263, USA
| | | | | |
Collapse
|
9
|
Genetic confirmation for a central role for TNFα in the direct action of thyroid stimulating hormone on the skeleton. Proc Natl Acad Sci U S A 2013; 110:9891-6. [PMID: 23716650 DOI: 10.1073/pnas.1308336110] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023] Open
Abstract
Clinical data showing correlations between low thyroid-stimulating hormone (TSH) levels and high bone turnover markers, low bone mineral density, and an increased risk of osteoporosis-related fractures are buttressed by mouse genetic and pharmacological studies identifying a direct action of TSH on the skeleton. Here we show that the skeletal actions of TSH deficiency are mediated, in part, through TNFα. Compound mouse mutants generated by genetically deleting the Tnfα gene on a Tshr(-/-) (homozygote) or Tshr(+/-) (heterozygote) background resulted in full rescue of the osteoporosis, low bone formation, and hyperresorption that accompany TSH deficiency. Studies using ex vivo bone marrow cell cultures showed that TSH inhibits and stimulates TNFα production from macrophages and osteoblasts, respectively. TNFα, in turn, stimulates osteoclastogenesis but also enhances the production in bone marrow of a variant TSHβ. This locally produced TSH suppresses osteoclast formation in a negative feedback loop. We speculate that TNFα elevations due to low TSH signaling in human hyperthyroidism contribute to the bone loss that has traditionally been attributed solely to high thyroid hormone levels.
Collapse
|
10
|
Stavreva DA, Varticovski L, Hager GL. Complex dynamics of transcription regulation. BIOCHIMICA ET BIOPHYSICA ACTA 2012; 1819:657-66. [PMID: 22484099 PMCID: PMC3371156 DOI: 10.1016/j.bbagrm.2012.03.004] [Citation(s) in RCA: 42] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/25/2011] [Revised: 03/10/2012] [Accepted: 03/15/2012] [Indexed: 01/10/2023]
Abstract
Transcription is a tightly regulated cellular function which can be triggered by endogenous (intrinsic) or exogenous (extrinsic) signals. The development of novel techniques to examine the dynamic behavior of transcription factors and the analysis of transcriptional activity at the single cell level with increased temporal resolution has revealed unexpected elements of stochasticity and dynamics of this process. Emerging research reveals a complex picture, wherein a wide range of time scales and temporal transcription patterns overlap to generate transcriptional programs. The challenge now is to develop a perspective that can guide us to common underlying mechanisms, and consolidate these findings. Here we review the recent literature on temporal dynamics and stochastic gene regulation patterns governed by intrinsic or extrinsic signals, utilizing the glucocorticoid receptor (GR)-mediated transcriptional model to illustrate commonality of these emerging concepts. This article is part of a Special Issue entitled: Chromatin in time and space.
Collapse
Affiliation(s)
- Diana A Stavreva
- Laboratory of Receptor Biology and Gene Expression, Building 41, B507, 41 Library Dr., National Cancer Institute, NIH, Bethesda, MD 20892, USA.
| | | | | |
Collapse
|
11
|
Grabias BM, Konstantopoulos K. Epithelial-mesenchymal transition and fibrosis are mutually exclusive reponses in shear-activated proximal tubular epithelial cells. FASEB J 2012; 26:4131-41. [PMID: 22744866 DOI: 10.1096/fj.12-207324] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
Abstract
Renal fibrosis (RF) is thought to be a direct consequence of dedifferentiation of resident epithelial cells via an epithelial-mesenchymal transition (EMT). Increased glomerular flow is a critical initiator of fibrogenesis. Yet, the responses of proximal tubular epithelial cells (PTECs) to fluid flow remain uncharacterized. Here, we investigate the effects of pathological shear stresses on the development of fibrosis in PTECs. Our data reveal that type I collagen accumulation in shear-activated PTECs is accompanied by a ∼40-60% decrease in cell motility, thus excluding EMT as a relevant pathological process. In contrast, static incubation of PTECs with TGFβ1 increases cell motility by ∼50%, and induces stable expression of key mesenchymal markers, including Snail1, N-cadherin, and vimentin. Ectopic expression of TGFβ1 in shear-activated PTECs fails to induce EMT-associated changes but abrogates collagen accumulation via SMAD2-dependent mechanisms. Shear-mediated inhibition of EMT occurs via cyclic oscillations in both ERK2 activity and downstream expression of EMT genes. A constitutive ERK2 mutant induces stable expression of Snail1, N-cadherin, and vimentin, and increases cell motility in shear-activated PTECs by 250% without concomitant collagen deposition. Collectively, our data reveal that RF not only occurs without EMT but also that these two responses represent mutually exclusive cell fates.
Collapse
Affiliation(s)
- Bryan M Grabias
- Department of Chemical and Biomolecular Engineering, The Johns Hopkins University, New Engineering Bldg. 114, 3400 N. Charles St., Baltimore, MD 21218, USA
| | | |
Collapse
|
12
|
Wee KB, Yio WK, Surana U, Chiam KH. Transcription factor oscillations induce differential gene expressions. Biophys J 2012; 102:2413-23. [PMID: 22713556 DOI: 10.1016/j.bpj.2012.04.023] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2011] [Revised: 04/16/2012] [Accepted: 04/17/2012] [Indexed: 01/04/2023] Open
Abstract
Intracellular protein levels of diverse transcription factors (TFs) vary periodically with time. However, the effects of TF oscillations on gene expression, the primary role of TFs, are poorly understood. In this study, we determined these effects by comparing gene expression levels induced in the presence and in the absence of TF oscillations under same mean intracellular protein level of TF. For all the nonlinear TF transcription kinetics studied, an oscillatory TF is predicted to induce gene expression levels that are distinct from a nonoscillatory TF. The conditions dictating whether TF oscillations induce either higher or lower average gene expression levels were elucidated. Subsequently, the predicted effects from an oscillatory TF, which follows sigmoid transcription kinetics, were applied to demonstrate how oscillatory dynamics provide a mechanism for differential target gene transactivation. Generally, the mean TF concentration at which oscillations occur relative to the promoter binding affinity of a target gene determines whether the gene is up- or downregulated whereas the oscillation amplitude amplifies the magnitude of the differential regulation. Notably, the predicted trends of differential gene expressions induced by oscillatory NF-κB and glucocorticoid receptor match the reported experimental observations. Furthermore, the biological function of p53 oscillations is predicted to prime the cell for death upon DNA damage via differential upregulation of apoptotic genes. Lastly, given N target genes, an oscillatory TF can generate between (N-1) and (2N-1) distinct patterns of differential transactivation. This study provides insights into the mechanism for TF oscillations to induce differential gene expressions, and underscores the importance of TF oscillations in biological regulations.
Collapse
Affiliation(s)
- Keng Boon Wee
- A∗STAR Institute of High Performance Computing, Connexis, Singapore.
| | | | | | | |
Collapse
|
13
|
Ethier SD, Miura H, Dostie J. Discovering genome regulation with 3C and 3C-related technologies. BIOCHIMICA ET BIOPHYSICA ACTA-GENE REGULATORY MECHANISMS 2012; 1819:401-10. [DOI: 10.1016/j.bbagrm.2011.12.004] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/11/2011] [Revised: 12/05/2011] [Accepted: 12/06/2011] [Indexed: 10/14/2022]
|
14
|
Cerone L, Neufeld Z. Differential gene expression regulated by oscillatory transcription factors. PLoS One 2012; 7:e30283. [PMID: 22291930 PMCID: PMC3265475 DOI: 10.1371/journal.pone.0030283] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2011] [Accepted: 12/17/2011] [Indexed: 01/10/2023] Open
Abstract
Cells respond to changes in the internal and external environment by a complex regulatory system whose end-point is the activation of transcription factors controlling the expression of a pool of ad-hoc genes. Recent experiments have shown that certain stimuli may trigger oscillations in the concentration of transcription factors such as NF-κB and p53 influencing the final outcome of the genetic response. In this study we investigate the role of oscillations in the case of three different well known gene regulatory mechanisms using mathematical models based on ordinary differential equations and numerical simulations. We considered the cases of direct regulation, two-step regulation and feed-forward loops, and characterized their response to oscillatory input signals both analytically and numerically. We show that in the case of indirect two-step regulation the expression of genes can be turned on or off in a frequency dependent manner, and that feed-forward loops are also able to selectively respond to the temporal profile of oscillating transcription factors.
Collapse
Affiliation(s)
- Luca Cerone
- School of Mathematical Sciences and Complex and Adaptive Systems Laboratory, University College Dublin, Dublin, Ireland.
| | | |
Collapse
|
15
|
Paszek P, Jackson DA, White MR. Oscillatory control of signalling molecules. Curr Opin Genet Dev 2010; 20:670-6. [PMID: 20850963 DOI: 10.1016/j.gde.2010.08.004] [Citation(s) in RCA: 38] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2010] [Revised: 07/23/2010] [Accepted: 08/19/2010] [Indexed: 10/19/2022]
Abstract
The emergence of biological function from the dynamic control of cellular signalling molecules is a fundamental process in biology. Key questions include: How do cells decipher noisy environmental cues, encode these signals to control fate decisions and propagate information through tissues? Recent advances in systems biology, and molecular and cellular biology, exemplified by analyses of signalling via the transcription factor Nuclear Factor kappaB (NF-κB), reveal a critical role of oscillatory control in the regulation of these biological functions. The emerging view is that the oscillatory dynamics of signalling molecules and the epigenetically regulated specificity for target genes contribute to robust regulation of biological function at different levels of cellular organisation through frequency-dependent information encoding.
Collapse
Affiliation(s)
- Pawel Paszek
- Centre for Cell Imaging, School of Biological Sciences, The Biosciences Building, University of Liverpool, Crown St., Liverpool L69 7ZB, UK.
| | | | | |
Collapse
|
16
|
Abstract
This review explores advances in our understanding of dynamicism in cellular signaling. Areas highlighted include the role of stochasticity in producing diversity in analogous signaling circumstances; population desynchronization's effect in masking newly appreciated repetitive bursts in protein phosphorylation and messenger RNA production; double-positive feedback interactions and their ability to synchronize multiple signal transduction pathways; scaffolding proteins control over signaling feedback; and frequency-responsive transcriptional regulation as an example of dynamicism in signaling.
Collapse
Affiliation(s)
- Jameel Iqbal
- Department of Animal Biology, University of Pennsylvania Veterinary School, Philadelphia, Pennsylvania, USA.
| | | | | |
Collapse
|
17
|
Turner DA, Paszek P, Woodcock DJ, Nelson DE, Horton CA, Wang Y, Spiller DG, Rand DA, White MRH, Harper CV. Physiological levels of TNFalpha stimulation induce stochastic dynamics of NF-kappaB responses in single living cells. J Cell Sci 2010; 123:2834-43. [PMID: 20663918 DOI: 10.1242/jcs.069641] [Citation(s) in RCA: 89] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023] Open
Abstract
Nuclear factor kappa B (NF-kappaB) signalling is activated by cellular stress and inflammation and regulates cytokine expression. We applied single-cell imaging to investigate dynamic responses to different doses of tumour necrosis factor alpha (TNFalpha). Lower doses activated fewer cells and those responding showed an increasingly variable delay in the initial NF-kappaB nuclear translocation and associated IkappaBalpha degradation. Robust 100 minute nuclear:cytoplasmic NF-kappaB oscillations were observed over a wide range of TNFalpha concentrations. The result is supported by computational analyses, which identified a limit cycle in the system with a stable 100 minute period over a range of stimuli, and indicated no co-operativity in the pathway activation. These results suggest that a stochastic threshold controls functional all-or-nothing responses in individual cells. Deterministic and stochastic models simulated the experimentally observed activation threshold and gave rise to new predictions about the structure of the system and open the way for better mechanistic understanding of physiological TNFalpha activation of inflammatory responses in cells and tissues.
Collapse
Affiliation(s)
- David A Turner
- Centre for Cell Imaging, School of Biological Sciences, Bioscience Research Building, Liverpool, UK
| | | | | | | | | | | | | | | | | | | |
Collapse
|
18
|
Abstract
This review is focused on complexity in cell signaling. Signaling experiments have demonstrated that many different stimuli activate the same signaling pathways yet result in different outcomes. Differences in the cellular machinery between cells explain response variation between cell types, but for a single cell type an appealing explanation is still lacking. The kinetic disconnect between cell signal transduction and a cellular action is highlighted; possible explanations for this disconnect, such as a series of cascading autocrine signaling molecules and new research suggesting that cells experience multiple rounds of reactivation in numerous cell signaling pathways, are reviewed. Additionally, evidence that kinase pathways exhibit frequency and amplitude modulation is examined. From this review, a new model of signal transduction is proposed whereby multiple signal transduction pathways are reactivated over time to orchestrate unique outcomes in physiological processes.
Collapse
Affiliation(s)
- Jameel Iqbal
- Department of Medicine, Mount Sinai School of Medicine, New York, NY, USA.
| | | | | |
Collapse
|
19
|
Jin Y, Hofseth AB, Cui X, Windust AJ, Poudyal D, Chumanevich AA, Matesic LE, Singh NP, Nagarkatti M, Nagarkatti PS, Hofseth LJ. American ginseng suppresses colitis through p53-mediated apoptosis of inflammatory cells. Cancer Prev Res (Phila) 2010; 3:339-47. [PMID: 20179294 DOI: 10.1158/1940-6207.capr-09-0116] [Citation(s) in RCA: 49] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
Ulcerative colitis is a dynamic, chronic inflammatory condition associated with an increased colon cancer risk. Inflammatory cell apoptosis is a key mechanism regulating ulcerative colitis. American ginseng (AG) is a putative antioxidant that can suppress hyperactive immune cells. We have recently shown that AG can prevent and treat mouse colitis. Because p53 levels are elevated in inflammatory cells in both mouse and human colitis, we tested the hypothesis that AG protects from colitis by driving inflammatory cell apoptosis through a p53 mechanism. We used isogenic p53(+/+) and p53(-/-) inflammatory cell lines as well as primary CD4(+)/CD25(-) effector T cells from p53(+/+) and p53(-/-) mice to show that AG drives apoptosis in a p53-dependent manner. Moreover, we used a dextran sulfate sodium (DSS) model of colitis in C57BL/6 p53(+/+) and p53(-/-) mice to test whether the protective effect of AG against colitis is p53 dependent. Data indicate that AG induces apoptosis in p53(+/+) but not in isogenic p53(-/-) cells in vitro. In vivo, C57BL/6 p53(+/+) mice are responsive to the protective effects of AG against DSS-induced colitis, whereas AG fails to protect from colitis in p53(-/-) mice. Furthermore, terminal deoxynucleotidyl transferase-mediated dUTP nick end labeling of inflammatory cells within the colonic mesenteric lymph nodes is elevated in p53(+/+) mice consuming DSS + AG but not in p53(-/-) mice consuming DSS + AG. Results are consistent with our in vitro data and with the hypothesis that AG drives inflammatory cell apoptosis in vivo, providing a mechanism by which AG protects from colitis in this DSS mouse model.
Collapse
Affiliation(s)
- Yu Jin
- Department of Biomedical and Pharmaceutical Sciences, South Carolina College of Pharmacy, 770 Sumter Street, Coker Life Sciences, University of South Carolina, Columbia, SC 29208, USA
| | | | | | | | | | | | | | | | | | | | | |
Collapse
|
20
|
|
21
|
Abstract
Nuclear factor κB (NF-κB) is an inducible transcription factor that tightly regulates the expression of a large cohort of genes. As a key component of the cellular machinery NF-κB is involved in a wide range of biological processes including innate and adaptive immunity, inflammation, cellular stress responses, cell adhesion, apoptosis and proliferation. Appropriate regulation of NF-κB is critical for the proper function and survival of the cell. Aberrant NF-κB activity has now been implicated in the pathogenesis of several diseases ranging from inflammatory bowel disease to autoimmune conditions such as rheumatoid arthritis. Systems governing NF-κB activity are complex and there is an increased understanding of the importance of nuclear events in regulating NF-κB's activities as a transcription factor. A number of novel nuclear regulators of NF-κB such as IκB-ζ and PDZ and LIM domain 2 (PDLIM2) have now been identified, adding another layer to the mechanics of NF-κB regulation. Further insight into the functions of these molecules raises the prospect for better understanding and rational design of therapeutics for several important diseases.
Collapse
Affiliation(s)
- Arun K Mankan
- Department of Clinical Medicine and Institute of Molecular Medicine, Trinity College, Dublin, Ireland.
| | | | | | | | | |
Collapse
|
22
|
Reid G, Gallais R, Métivier R. Marking time: the dynamic role of chromatin and covalent modification in transcription. Int J Biochem Cell Biol 2008; 41:155-63. [PMID: 18805503 DOI: 10.1016/j.biocel.2008.08.028] [Citation(s) in RCA: 45] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2008] [Revised: 08/19/2008] [Accepted: 08/19/2008] [Indexed: 12/31/2022]
Abstract
The expression of genes subject to strict regulation can be a highly dynamic, cyclical process that sequentially achieves and then limits transcription. Kinetic investigations of the estrogen responsive pS2 (TFF1) promoter, to determine the occupancy of factors or the occurrence of covalent marks on chromatin, have provided the most comprehensive picture of the complexity of transcriptional cycling to date. Cycles are initiated by the assembly of intermediate transcription factors that in turn provoke conscription of the basal transcription machinery. These events then achieve activation of the polymerase II complex, which is subsequently followed by limitation of productivity through the action of repressive complexes. This latter phase resets the target promoter, through acting on chromatin structure, such that a subsequent cycle can be initiated. In consequence, transcription is dependent upon cis-acting elements (DNA and nucleosomes) that either interact with or are modified by trans-acting factors. Induced local structural changes to chromatin encompassing regulatory elements of gene promoters include alteration of the positional phasing of nucleosomes, substitution by variant histones, post-translational modification of nucleosomes, changes in the methylation of CpG dinucleotides and breaks in the sugar-phosphate backbone of DNA. A primary function of covalent modification of chromatin may be to drive a sequential progression of reversible interactions that achieve and regulate gene expression.
Collapse
Affiliation(s)
- George Reid
- European Molecular Biology Laboratory, Meyerhofstrasse 1, D-69117 Heidelberg, Germany
| | | | | |
Collapse
|