Comparison and Optimization of hiPSC Forebrain Cortical Differentiation Protocols

Several protocols have been developed for human induced pluripotent stem cell neuronal differentiation. We compare several methods for forebrain cortical neuronal differentiation by assessing cell morphology, immunostaining and gene expression. We evaluate embryoid aggregate vs. monolayer with dual SMAD inhibition differentiation protocols, manual vs. AggreWell aggregate formation, plating substrates, neural progenitor cell (NPC) isolation methods, NPC maintenance and expansion, and astrocyte co-culture. The embryoid aggregate protocol, using a Matrigel substrate, consistently generates a high yield and purity of neurons. NPC isolation by manual selection, enzymatic rosette selection, or FACS all are efficient, but exhibit some differences in resulting cell populations. Expansion of NPCs as neural aggregates yields higher cell purity than expansion in a monolayer. Finally, co-culture of iPSC-derived neurons with astrocytes increases neuronal maturity by day 40. This study directly compares commonly employed methods for neuronal differentiation of iPSCs, and can be used as a resource for choosing between various differentiation protocols.     

Circadian gene variants and susceptibility to type 2 diabetes: a pilot study

Background

Disruption of endogenous circadian rhythms has been shown to increase the risk of developing type 2 diabetes, suggesting that circadian genes might play a role in determining disease susceptibility. We present the results of a pilot study investigating the association between type 2 diabetes and selected single nucleotide polymorphisms (SNPs) in/near nine circadian genes. The variants were chosen based on their previously reported association with prostate cancer, a disease that has been suggested to have a genetic link with type 2 diabetes through a number of shared inherited risk determinants.

Methodology/Principal Findings

The pilot study was performed using two genetically homogeneous Punjabi cohorts, one resident in the United Kingdom and one indigenous to Pakistan. Subjects with (N = 1732) and without (N = 1780) type 2 diabetes were genotyped for thirteen circadian variants using a competitive allele-specific polymerase chain reaction method. Associations between the SNPs and type 2 diabetes were investigated using logistic regression. The results were also combined with in silico data from other South Asian datasets (SAT2D consortium) and white European cohorts (DIAGRAM+) using meta-analysis. The rs7602358G allele near PER2 was negatively associated with type 2 diabetes in our Punjabi cohorts (combined odds ratio [OR] = 0.75 [0.66–0.86], p = 3.18×10⁻⁵), while the BMAL1 rs11022775T allele was associated with an increased risk of the disease (combined OR = 1.22 [1.07–1.39], p = 0.003). Neither of these associations was replicated in the SAT2D or DIAGRAM+ datasets, however. Meta-analysis of all the cohorts identified disease associations with two variants, rs2292912 in CRY2 and rs12315175 near CRY1, although statistical significance was nominal (combined OR = 1.05 [1.01–1.08], p = 0.008 and OR = 0.95 [0.91–0.99], p = 0.015 respectively).

Conclusions/significance

None of the selected circadian gene variants was associated with type 2 diabetes with study-wide significance after meta-analysis. The nominal association observed with the CRY2 SNP, however, complements previous findings and confirms a role for this locus in disease susceptibility.     

The SET8 H4K20 protein lysine methyltransferase has a long recognition sequence covering seven amino acid residues

The SET8 histone lysine methyltransferase, which monomethylates the histone 4 lysine 20 residue plays important roles in cell cycle control and genomic stability. By employing peptide arrays we have shown that it has a long recognition sequence motif covering seven amino acid residues, viz. R¹⁷–H¹⁸–(R¹⁹KY)–K²⁰–(V²¹ILFY)–(L²²FY)–R²³. Celluspots peptide array methylation studies confirmed specific monomethylation of H4K20 and revealed that the symmetric and asymmetric methylation on R¹⁷ of the H4 tail inhibits methylation on H4K20. Similarly, dimethylation of the R located at the −3 position also reduced methylation of p53 K382 which had been shown previously to be methylated by SET8. Based on the derived specificity profile, we identified 4 potential non-histone substrate proteins. After relaxing the specificity profile, we identified several more candidate substrates and showed efficient methylation of 20 novel non-histone peptides by SET8. However, apart from H4 and p53 none of the identified novel peptide targets was methylated at the protein level. Since H4 and p53 both contain the target lysine in an unstructured part of the protein, we conclude that the long recognition sequence of SET8 makes it difficult to methylate a lysine in a folded region of a protein, because amino acid side chains essential for recognition will be buried.     

Wavelet-based estimation of hemodynamic response function from fMRI data

We present a new algorithm to estimate hemodynamic response function (HRF) and drift components of fMRI data in wavelet domain. The HRF is modeled by both parametric and nonparametric models. The functional Magnetic resonance Image (fMRI) noise is modeled as a fractional brownian motion (fBm). The HRF parameters are estimated in wavelet domain by exploiting the property that wavelet transforms with a sufficient number of vanishing moments decorrelates a fBm process. Using this property, the noise covariance matrix in wavelet domain can be assumed to be diagonal whose entries are estimated using the sample variance estimator at each scale. We study the influence of the sampling rate of fMRI time series and shape assumption of HRF on the estimation performance. Results are presented by adding synthetic HRFs on simulated and null fMRI data. We also compare these methods with an existing method,(1) where correlated fMRI noise is modeled by a second order polynomial functions.     

Amphiphilic block copolymers enhance cellular uptake and nuclear entry of polyplex-delivered DNA

This work for the first time demonstrates that synthetic polymers enhance uptake and nuclear import of plasmid DNA (pDNA) through the activation of cellular trafficking machinery. Nonionic block copolymers of poly(ethylene oxide) and poly(propylene oxide), Pluronics, are widely used as excipients in pharmaceutics. We previously demonstrated that Pluronics increase the phosphorylation of IkappaB and subsequent NFkappaB nuclear localization as well as upregulate numerous NFkappaB-related genes. In this study, we show that Pluronics enhance gene transfer by pDNA/polycation complexes ("polyplexes") in a promoter-dependent fashion. Addition of Pluronic P123 or P85 to polyethyleneimine-based polyplexes had little effect on polyplex particle size but significantly enhanced pDNA cellular uptake, nuclear translocation, and gene expression in several cell lines. When added to polyplex-transfected cells after transfection, Pluronics enhanced nuclear import of pDNA containing NFkappaB binding sites, but have no effect on import of pDNA without these sites. Altogether, our studies suggest that Pluronics rapidly activate NFkappaB, which binds cytosolic pDNA that possesses promoters containing NFkappaB binding sites and consequently increase nuclear import of pDNA through NFkappaB nuclear translocation.     

QSAR studies on CCR2 antagonists with chiral sensitive hologram descriptors

Chemokines are small molecular weight water-soluble proteins playing a key role in immunomodulation and host-defense mechanisms. CCR2 receptor is targeted for diseases like arthritis, multiple sclerosis, vascular disease, obesity, and type 2 diabetes. Reported, herein are the QSAR studies performed on a diverse set of enantiopure analogues reported as CCR2 antagonists by hologram analysis. The best model highlights the importance of chirality feature in comparison with the other models developed without the chirality. The validated model showed high internal and external predictive power. The robustness of the model was achieved with good statistical r(2) of 0.945 and cross-validated r(cv)(2) of 0.837. The challenging test predictivity of the model was confirmed with r(pred)(2) of 0.807. The fragment fingerprints help in understanding essential pharmacophoric features for CCR2 antagonism and provide basis for SAR of the molecules. The 2D contribution maps with fragment information will be useful for the design of novel CCR2 antagonists having improved efficacy.     

Peroxisomes in mouse and human lung: their involvement in pulmonary lipid metabolism

Only sparse information is available from the literature on the peroxisomal compartment and its enzyme composition in mouse and human lungs. Therefore, in the present investigation we have characterized peroxisomes in different cell types of adult mouse (C57BL/6J) and human lungs in a comprehensive study using a variety of light-, fluorescence- and electron microscopic as well as biochemical techniques and by the use of various peroxisomal marker proteins (Pex13p, Pex14p, ABCD3, beta-oxidation enzymes and catalase). In contrast to previous reports, we have found that peroxisomes are present in all cell types in human and mouse lungs. However, they differ significantly and in a cell-type-specific manner in their structure, numerical abundance and enzyme composition. Whereas catalase showed significant differences between distinct cell types, Pex14p proved to be the marker of choice for labeling all lung peroxisomes. In alveolar type II cells and alveolar macrophages peroxisomes contained significant amounts of the lipid transporter ABCD3 and beta-oxidation enzymes, suggesting their involvement in the modification and recycling of surfactant lipids and in the control of lipid mediators and ligands for nuclear receptors of the PPAR family. Possible connections between ROS and lipid metabolism of lung peroxisomes are discussed.