Self-organizing map of gene regulatory networks for cell phenotypes during reprogramming

The induced pluripotent cells (iPSCs) are derived from somatic cells by reprogramming their genetic profiles. Such a process requires coordinated dynamic expression of hundreds of genes and proteins. As both deterministic and stochastic elements control the reprogramming process, it is not easy to have a way to reflect the status of gene regulatory network in those reprogramming cells. In this study, we applied self-organizing maps (SOMs) on those complex gene expression data from different pluripotent cells, including partially reprogrammed and fully reprogrammed induced pluripotent cells (iPSCs), embryonic stem cells (ESCs), and adult stem cells came from different tissues. We showed that our SOMs have good correlation with the previously reported PluriNet of stem cells and they are pictorial diagrams which can reflect the intrinsic status of cells.     

A biocompatible micro cell culture chamber (microCCC) for the culturing and on-line monitoring of eukaryote cells

We have previously shown that a polymeric (PMMA) chip with medium perfusion and integrated heat regulation provides sufficiently precise heat regulation, pH-control and medium exchange to support cell growth for weeks. However, it was unclear how closely the cells cultured in the chip resembled cells cultured in the culture flask. In the current study, gene expression profiles of cells cultured in the chip were compared with gene expression profiles of cells cultured in culture flasks. The results showed that there were only two genes that were differently expressed in cells grown in the cell culture chip compared to cell culture flasks. The cell culture chip could without further modification support cell growth of two other cell lines. Light coming from the microscope lamp during optical recordings of the cells was the only external factor identified, that could have a negative effect on cell survival. Low grade light exposure was however compatible with optical recordings as well as cell viability. These results strongly indicate that a cell culture chip could be constructed that allowed for on-line optical recording of cellular events without affecting the cell culturing condition compared to cell cultured in culture flasks incubated in a dark and CO2 conditioned incubator.     

Mucin (MUC5AC) expression by lung epithelial cells cultured in a microfluidic gradient device

We have developed a microfluidic gradient device for controlling mucin gene expression of NCI-H292 epithelial cells derived from lung tissues. We hypothesized that gradient profiles would control mucin gene expression of lung epithelial cells. However, it was not possible to generate various stable gradient profiles using conventional culture methods. To address this limitation, we used a microfluidic gradient device to create various gradient profiles (i.e. non-linear, linear, and flat) in a temporal and spatial manner. NCI-H292 lung epithelial cells were exposed to concentration gradients of epidermal growth factor in a microfluidic gradient device with continuous medium perfusion. We demonstrated an effect of gradient profiles on mucin expression of lung epithelial cells cultured in the microfluidic gradient device. It was revealed that NCI-H292 lung epithelial cells exposed to the flat gradient profile of the epidermal growth factor exhibited high expression of mucin as compared with cells exposed to non-linear and linear gradient profiles. Therefore, this microfluidic gradient device could be a potentially useful tool for regulating the mucin expression of lung epithelial cells exposed to chemokine gradient profiles.     

A microfluidic processor for gene expression profiling of single human embryonic stem cells

The gene expression of human embryonic stem cells (hESC) is a critical aspect for understanding the normal and pathological development of human cells and tissues. Current bulk gene expression assays rely on RNA extracted from cell and tissue samples with various degree of cellular heterogeneity. These 'cell population averaging' data are difficult to interpret, especially for the purpose of understanding the regulatory relationship of genes in the earliest phases of development and differentiation of individual cells. Here, we report a microfluidic approach that can extract total mRNA from individual single-cells and synthesize cDNA on the same device with high mRNA-to-cDNA efficiency. This feature makes large-scale single-cell gene expression profiling possible. Using this microfluidic device, we measured the absolute numbers of mRNA molecules of three genes (B2M, Nodal and Fzd4) in a single hESC. Our results indicate that gene expression data measured from cDNA of a cell population is not a good representation of the expression levels in individual single cells. Within the G0/G1 phase pluripotent hESC population, some individual cells did not express all of the 3 interrogated genes in detectable levels. Consequently, the relative expression levels, which are broadly used in gene expression studies, are very different between measurements from population cDNA and single-cell cDNA. The results underscore the importance of discrete single-cell analysis, and the advantages of a microfluidic approach in stem cell gene expression studies.     

Differential display competitive polymerase chain reaction: an optimal tool for assaying gene expression

Gene discovery, i.e. detection of genes whose expression is affected in diseases or by different treatments of cells or animals, has become the focus of much genetic research. The technologies that are used to detect changes in expression level include polymerase chain reaction (PCR)-based subtraction methods, arrays of cDNA clones on chips or filters, serial analysis of gene expression, and differential display. In this paper we show that differential display can be used to investigate global gene expression in situations where a few genes change expression levels such as exposure of MCF7 cells to estradiol, and in more complex situations such as neuronal differentiation of human NTERA2 cells which affects a large number of genes. Furthermore, we show that differential display can replace Northern blotting and RNase protection as a tool to study the expression level of a specific gene in many samples. Results obtained by differential display can be stored in databases, where the identity of a band (gene or mRNA name) can be linked with information about the primer combination displaying the band and a gel image showing the band pattern, which is all the information that is needed to compare the expression level of this gene in other samples.     

Real-time PCR of single bacterial cells on an array of adhering droplets

Real-time PCR at the single bacterial cell level is an indispensable tool to quantitatively reveal the heterogeneity of isogenetic cells. Conventional PCR platforms that utilize microtiter plates or PCR tubes have been widely used, but their large reaction volumes are not suited for sensitive single-cell analysis. Microfluidic devices provide high density, low volume PCR chambers, but they are usually expensive and require dedicated equipment to manipulate liquid and perform detection. To address these limitations, we developed an inexpensive chip-level device that is compatible with a commercial real-time PCR thermal cycler to perform quantitative PCR for single bacterial cells. The chip contains twelve surface-adhering droplets, defined by hydrophilic patterning, that serve as real-time PCR reaction chambers when they are immersed in oil. A one-step process that premixed reagents with cell medium before loading was applied, so no on-chip liquid manipulation and DNA purification were needed. To validate its application for genetic analysis, Synechocystis PCC 6803 cells were loaded on the chip from 1000 cells to one cell per droplet, and their 16S rRNA gene (two copies per cell) was analyzed on a commercially available ABI StepOne real-time PCR thermal cycler. The result showed that the device is capable of genetic analysis at single bacterial cell level with C(q) standard deviation less than 1.05 cycles. The successful rate of this chip-based operation is more than 85% at the single bacterial cell level.     

Identification of differential gene expression by high throughput analysis

High throughput analysis of differential gene expression is a powerful tool that can be applied to many areas in molecular cell biology, including differentiation, development, physiology, and pharmacology. In recent years, a variety of techniques have been developed to analyze differential gene expression, including comparative expressed sequence tag sequencing, differential display, representational difference analysis, cDNA or oligonucleotide arrays, and serial analysis of gene expression. This review explains the technologies, their scopes, impact on science, as well as their costs and possible limitations. The application of differential display is presented as a tool to identify genes induced by darkness or yellowing process in rice leaves.     

Expression profiling in cancer using cDNA microarrays

Currently there are over 1,000,000 human expressed sequence tag (EST) sequences available on the public database, representing perhaps 50-90% of all human genes. The cDNA microarray technique is a recently developed tool that exploits this wealth of information for the analysis of gene expression. In this method, DNA probes representing cDNA clones are arrayed onto a glass slide and interrogated with fluorescently labeled cDNA targets. The power of the technology is the ability to perform a genome-wide expression profile of thousands of genes in one experiment. In our review we describe the principles of the microarray technology as applied to cancer research, summarize the literature on its use so far, and speculate on the future application of this powerful technique.     

Expression Profiling of Bioactive Genes from a Medicinal Plant Nigella sativa L.

Plants respond to stress in part by modulating gene expression either constitutively or in an inducible manner which ultimately leads to the restoration of cellular homeostasis, detoxification of toxins, and recovery of growth. Upon introduction to various elicitors such as pathogen-associated molecular patterns, a massive reprogramming of plant gene expression is initiated. Differential display PCR offers rapid and multiple comparisons of gene expression to various stress durations and intensities. Nigella sativa has acclaimed many medicinal properties in traditional medicine. To explore the underlying molecular mechanisms in response to stress in the plants, Fusarium solani (a fungus) stress was induced at different time intervals ranging from 0 to 48 h. RNA was subjected to complementary DNA (cDNA) synthesis followed by PCR using different sets of anchored primers and arbitrary primers. The expression was visualized after silver staining on urea-PAGE. Out of the 23 upregulated re-amplified cDNA products, ten differential fragments showed significant homologies with domains related to cellular metabolism, signal transduction, and disease resistance. Such genes could be an informative source for developing genetically improved breeds under infectious stress.     

Genetic and expression alterations in association with the sarcomatous change of cholangiocarcinoma cells

Cholangiocarcinoma (CC) is an intrahepatic bile duct carcinoma with a high mortality rate and a poor prognosis. Sarcomatous change/epithelial mesenchymal transition (EMT) of CC frequently leads to aggressive intrahepatic spread and metastasis. The aim of this study was to identify the genetic alterations and gene expression pattern that might be associated with the sarcomatous change in CC. Previously, we established 4 human CC cell lines (SCK, JCK1, Cho-CK, and Choi-CK). In the present study, we characterized a typical sarcomatoid phenotype of SCK, and classified the other cell lines according to tumor cell differentiation (a poorly differentiated JCK, a moderately differentiated Cho-CK, and a well differentiated Choi-CK cells), both morphologically and immunocytologically. We further analyzed the genetic alterations of two tumor suppressor genes (p53 and FHIT) and the expression of Fas/FasL gene, well known CC-related receptor and its ligand, in these four CC cell lines. The deletion mutation of p53 was found in the sarcomatoid SCK cells. These cells expressed much less Fas/FasL mRNAs than did the other ordinary CC cells. We further characterize the gene expression pattern that is involved in the sarcomatous progression of CC, using cDNA microarrays that contained 18,688 genes. Comparison of the expression patterns between the sarcomatoid SCK cells and the differentiated Choi-CK cells enabled us to identify 260 genes and 247 genes that were significantly over-expressed and under-expressed, respectively. Northern blotting of the 14 randomly selected genes verified the microarray data, including the differential expressions of the LGALS1, TGFBI, CES1, LDHB, UCHL1, ASPH, VDAC1, VIL2, CCND2, S100P, CALB1, MAL2, GPX1, and ANXA8 mRNAs. Immunohistochemistry also revealed in part the differential expressions of these gene proteins. These results suggest that those genetic and gene expression alterations may be relevant to the sarcomatous change/EMT in CC cells.     

5-Aza-2′-Deoxycytidine and Valproic Acid in Combination with CHIR99021 and A83-01 Induce Pluripotency Genes Expression in Human Adult Somatic Cells

A generation of induced pluripotent stem cells (iPSC) by ectopic expression of OCT4, SOX2, KLF4, and c-MYC has established promising opportunities for stem cell research, drug discovery, and disease modeling. While this forced genetic expression represents an advantage, there will always be an issue with genomic instability and transient pluripotency genes reactivation that might preclude their clinical application. During the reprogramming process, a somatic cell must undergo several epigenetic modifications to induce groups of genes capable of reactivating the endogenous pluripotency core. Here, looking to increase the reprograming efficiency in somatic cells, we evaluated the effect of epigenetic molecules 5-aza-2′-deoxycytidine (5AZ) and valproic acid (VPA) and two small molecules reported as reprogramming enhancers, CHIR99021 and A83-01, on the expression of pluripotency genes and the methylation profile of the OCT4 promoter in a human dermal fibroblasts cell strain. The addition of this cocktail to culture medium increased the expression of OCT4, SOX2, and KLF4 expression by 2.1-fold, 8.5-fold, and 2-fold, respectively, with respect to controls; concomitantly, a reduction in methylated CpG sites in OCT4 promoter region was observed. The epigenetic cocktail also induced the expression of the metastasis-associated gene S100A4. However, the epigenetic cocktail did not induce the morphological changes characteristic of the reprogramming process. In summary, 5AZ, VPA, CHIR99021, and A83-01 induced the expression of OCT4 and SOX2, two critical genes for iPSC. Future studies will allow us to precise the mechanisms by which these compounds exert their reprogramming effects.     

Microfluidic array cytometer based on refractive optical tweezers for parallel trapping, imaging and sorting of individual cells

Analysis of genetic and functional variability in populations of living cells requires experimental techniques capable of monitoring cellular processes such as cell signaling of many single cells in parallel while offering the possibility to sort interesting cell phenotypes for further investigations. Although flow cytometry is able to sequentially probe and sort thousands of cells per second, dynamic processes cannot be experimentally accessed on single cells due to the sub-second sampling time. Cellular dynamics can be measured by image cytometry of surface-immobilized cells, however, cell sorting is complicated under these conditions due to cell attachment. We here developed a cytometric tool based on refractive multiple optical tweezers combined with microfluidics and optical microscopy. We demonstrate contact-free immobilization of more than 200 yeast cells into a high-density array of optical traps in a microfluidic chip. The cell array could be moved to specific locations of the chip enabling us to expose in a controlled manner the cells to reagents and to analyze the responses of individual cells in a highly parallel format using fluorescence microscopy. We further established a method to sort single cells within the microfluidic device using an additional steerable optical trap. Ratiometric fluorescence imaging of intracellular pH of trapped yeast cells allowed us on the one hand to measure the effect of the trapping laser on the cells' viability and on the other hand to probe the dynamic response of the cells upon glucose sensing.     

Nanolitre droplet array for real time reverse transcription polymerase chain reaction

Recently, more and more effort has been put into the miniaturization of genetic tests such as quantitative PCR (qPCR), because it is no doubt a powerful tool for molecular diagnosis and quantitative biology. In this paper, we developed a low density nanolitre droplet array generated on a chemical modified silicon chip for gene quantification. Reliable and sensitive two step real time qRT-PCR assay for microRNA measurement was performed within 500 nL droplets. It has a dynamic range of six orders of magnitude, allowing for the quantification of microRNA input from 10(3) to 10(9) copies per reaction. We successfully applied the platform for quantitative measurement of mir-122 across five cultured cell lines. The minimum total RNA input was as low as 1 pg per assay, which showed great potential for gene quantification at single cell level. We envision the droplet based qPCR chip would be a universal and low-cost platform for gene quantification in ordinary biological laboratories.     

Characterization of Giant Modular PKSs Provides Insight into Genetic Mechanism for Structural Diversification of Aminopolyol Polyketides

Polyketides form many clinically valuable compounds. However, manipulation of their biosynthesis remains highly challenging. An understanding of gene cluster evolution provides a rationale for reprogramming of the biosynthetic machinery. Herein, we report characterization of giant modular polyketide synthases (PKSs) responsible for the production of aminopolyol polyketides. Heterologous expression of over 150 kbp polyketide gene clusters successfully afforded their products, whose stereochemistry was established by taking advantage of bioinformatic analysis. Furthermore, phylogenetic analysis of highly homologous but functionally diverse domains from the giant PKSs demonstrated the evolutionary mechanism for structural diversification of polyketides. The gene clusters characterized herein, together with their evolutionary insights, are promising genetic building blocks for de novo production of unnatural polyketides.     

Metabolomics analysis reveals Oct4 overexpression drives metabolic reprogramming and enhanced glycolysis and pentose phosphate pathway in lung adenocarcinoma cells

Poor prognosis in the underlying mechanisms involved in lung adenocarcinoma and its treatment leads to low survival rates in patients. Emerging evidence indicates that cancer is primarily a metabolic disease and metabolic reprogramming is a well-established hallmark and driving force of cancer. Oct4, acting as an oncogene, is a major regulator of cell pluripotency. It can reprogram the differentiated cells into cancer stem cells (CSCs) and plays an oncogenic role when pathologically hijacked. However, data that Oct4, the genetic reprogramming factor, could induce metabolic reprogramming have been very limited, and the direct evidence in metabolic level whether Oct4 reprograms metabolome is lacking. In the present study, integrated untargeted and targeted metabolomics analyses were utilized to investigate metabolic changes induced by Oct4 overexpression in lung adenocarcinoma cells. The results suggested that elevated expression levels of Oct4 drive metabolic reprogramming. Oct4 overexpression redirects glucose catabolism to glycolysis pathway and to the oxidative pentose phosphate pathway (PPP). This study identifies unique pathways that are candidate therapeutic targets for the treatment of lung adenocarcinoma. This study also aims to improve our understanding of the cancer-promoting activity of Oct4 and help identify novel diagnostic and therapeutic strategies for cancer treatment.