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Late-onset retinal degeneration (L-ORD) is an autosomal dominant disorder caused by a missense substitution in CTRP5. Distinctive clinical features include sub-retinal pigment epithelium (RPE) deposits, choroidal neovascularization, and RPE atrophy. In induced pluripotent stem cells-derived RPE from L-ORD patients (L-ORD-iRPE), we show that the dominant pathogenic CTRP5 variant leads to reduced CTRP5 secretion. In silico modeling suggests lower binding of mutant CTRP5 to adiponectin receptor 1 (ADIPOR1). Downstream of ADIPOR1 sustained activation of AMPK renders it insensitive to changes in AMP/ATP ratio resulting in defective lipid metabolism, reduced Neuroprotectin D1(NPD1) secretion, lower mitochondrial respiration, and reduced ATP production. These metabolic defects result in accumulation of sub-RPE deposits and leave L-ORD-iRPE susceptible to dedifferentiation. Gene augmentation of L-ORD-iRPE with WT CTRP5 or modulation of AMPK, by metformin, re-sensitize L-ORD-iRPE to changes in cellular energy status alleviating the disease cellular phenotypes. Our data suggests a mechanism for the dominant behavior of CTRP5 mutation and provides potential treatment strategies for L-ORD patients.

Increases in the number of cell therapies in the preclinical and clinical phases have prompted the need for reliable and noninvasive assays to validate transplant function in clinical biomanufacturing. We developed a robust characterization methodology composed of quantitative bright-field absorbance microscopy (QBAM) and deep neural networks (DNNs) to noninvasively predict tissue function and cellular donor identity. The methodology was validated using clinical-grade induced pluripotent stem cell-derived retinal pigment epithelial cells (iPSC-RPE). QBAM images of iPSC-RPE were used to train DNNs that predicted iPSC-RPE monolayer transepithelial resistance, predicted polarized vascular endothelial growth factor (VEGF) secretion, and matched iPSC-RPE monolayers to the stem cell donors. DNN predictions were supplemented with traditional machine-learning algorithms that identified shape and texture features of single cells that were used to predict tissue function and iPSC donor identity. These results demonstrate noninvasive cell therapy characterization can be achieved with QBAM and machine learning., Introduction Advancements in developmental biology and regenerative medicine have helped produce cell-based therapies to treat retinal degeneration, neurodegeneration, cardiopathies, and other diseases by replacing damaged or degenerative native tissue with [...]

NANOG is a critical homeodomain transcription factor responsible for maintaining embryonic stem cell (ESC) self-renewal and pluripotency. In the present study, we isolated, sequenced, and characterized the NANOG gene in buffalo ESC-like cells. Here, we demonstrated that NANOG mRNA is expressed as multiple isoforms and uses four alternative transcriptional start sites (TSSs) and five different polyadenylation sites. The TSSs identified by 5′-RNA ligase-mediated rapid amplification of cDNA ends (RLM-5′-RACE) were positioned at 182, 95, 35, and 17 nucleotides upstream relative to the translation initiation codon. 3′-RACE experiment revealed the presence of tandem polyadenylation signals, which leads to the expression of at least five different 3′-untranslated regions (269, 314, 560, 566, and 829 nucleotides). Expression analysis showed that these alternatively polyadenylated transcripts expressed differentially. Sequence analysis showed that the open reading frame of buffalo NANOG codes for a 300-amino-acid-long protein. Further, results showed that alternative splicing leads to the expression of two types of transcript variants encoded by four and five exons. In silico analysis of cloned 5′-flanking region (3366 nucleotides upstream of translation start codon) identified several putative transcription factors binding sites in addition to a TATA box and CAAT box at −30 and −139 bp (upstream to the distal most TSS), respectively, in the buffalo NANOG promoter. [ABSTRACT FROM AUTHOR]

Here, we report the isolation and characterization of embryonic stem (ES) cell-like cells from cloned blastocysts, generated using fibroblasts derived from an adult buffalo (BAF). These nuclear transfer embryonic stem cell-like cells (NT-ES) grew in well-defined and dome-shaped colonies. The expression pattern of pluripotency marker genes was similar in both NT-ES and in vitro fertilization (IVF) embryo-derived embryonic stem cell-like cells (F-ES). Upon spontaneous differentiation via embryoid body formation, cells of different morphology were observed, among which predominant were endodermal-like and epithelial-like cell types. The ES cell-like cells could be passaged only mechanically and did not form colonies when plated as single cell suspension at different concentrations. When F-ES cell-like, NT-ES cell-like, and BAF cells of same genotype were used for hand-made cloning (HMC), no significant difference ( p>0.05) was observed in cleavage and blastocyst rate. Following transfer of HMC embryos to synchronized recipients, pregnancies were established only with F-ES cell-like and BAF cell-derived embryos, and one live calf was born from F-ES cell-like cells. Further, when transfected NT-ES cell-like cells and BAF were used for HMC, no significant difference ( p>0.05) was observed between cleavage and blastocyst rate. In conclusion, here we report for the first time the derivation of ES cell-like cells from an adult buffalo, and its genetic modification. We also report the birth of a live cloned calf from buffalo ES cell-like cells. [ABSTRACT FROM AUTHOR]

Interferon (IFN)-tau secreted only by ruminant endometrium, helps in maternal recognition of pregnancy and exhibit antiviral and antiproliferative activity. Among different types of IFN-tau, IFN-tau1c and IFN- tau3a are the most highly expressed isoforms. In the present study structure of INF-tau1c was predicted using homology modelling. The best model was selected based on overall stereo-chemical quality. The generated 3D structure of the Interferon-tau1c protein of Bos taurus was predicted using the ovine interferon-tau (PDB ID: 1B5L_A) as template. The structure comprises of 5 alpha helices separated by loop regions, which is similar to the one predicted for other IFNs. Molecular interactions of bovine IFN-tau1c with human interferon Type 1 receptor (IFNAR1) was explored in an attempt to predict human IFNAR1 binding sites of IFN-tau1c.