Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Transcriptome analysis of self-renewing human pancreatic progenitors derived from pluripotent stem cells

ABSTRACT: Human pluripotent stem cells were differentiated into PDX1+/NKX6-1+ Pancreatic Progenitors (PPd15 cells), which were subsequently captured and expanded in culture. These culture Pancreatic Progenitors (cPP cells) were capable of self-renewal and could be passaged up to 20 times. Furthermore, cPP cells were capable of differentiation into multiple pancreatic lineages, including c-peptide+ beta-like cells, both in vitro and in vivo.

INSTRUMENT(S): Illumina HiSeq 2500

ORGANISM(S): Homo sapiens

SUBMITTER: Jamie Trott

PROVIDER: E-MTAB-5731 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Long-Term Culture of Self-renewing Pancreatic Progenitors Derived from Human Pluripotent Stem Cells.

Trott Jamie J Tan Ee Kim EK Ong Sheena S Titmarsh Drew M DM Denil Simon L I J SLIJ Giam Maybelline M Wong Cheng Kit CK Wang Jiaxu J Shboul Mohammad M Eio Michelle M Cooper-White Justin J Cool Simon M SM Rancati Giulia G Stanton Lawrence W LW Reversade Bruno B Dunn N Ray NR

Stem cell reports 20170601 6

Pluripotent stem cells have been proposed as an unlimited source of pancreatic β cells for studying and treating diabetes. However, the long, multi-step differentiation protocols used to generate functional β cells inevitably exhibit considerable variability, particularly when applied to pluripotent cells from diverse genetic backgrounds. We have developed culture conditions that support long-term self-renewal of human multipotent pancreatic progenitors, which are developmentally more proximal t ...[more]

PMID: 28591650

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Project description:Calciprotein particles (CPPs) represent self-assembling scavengers of excessive Ca2+ and PO43- ions which are formed in the human serum under the guidance of acidic proteins termed mineral chaperones (e.g., fetuin-A and albumin). While protecting the human organism from extraskeletal calcification, circulating CPPs are internalised by Kupffer cells and endothelial cells (ECs) and induce calcium stress upon their dissolution in lysosomes, thereby causing a pro-inflammatory response through the inflammasome-dependent and inflammasome-independent mechanisms. In patients with hyperphosphatemia (e.g., those with end-stage renal disease), a considerable proportion of primary amorphous CPPs transforms into secondary crystallised CPPs which instigate stronger cytokine release and indicate critical depletion of mineral buffering systems. A number of reports documented that serum of patients with chronic kidney disease, arterial hypertension, coronary artery disease, cerebrovascular disease, and autoimmune disorders shows increased CPP generation that reflects uncurbed mineral stress in these clinical scenarios and emphasizes the need in the development of anti-CPP therapies. For the experiments, CPPs are routinely synthesised in vitro by the supersaturation of serum-supplemented cell culture medium with Ca2+ and PO43- ions, as artificially generated CPPs are similar to those isolated from calcified human tissues. Approximate concentration of CPPs in the human blood is 250 particles per µL (2.5 × 108 per L), as measured by fluorescent-labeled bisphosphonate OsteoSense 680EX (IVISense Osteo 680 fluorescent probe). The kinetics of CPP assembling and clearance is far from being fully understood, albeit it evidently depends on the amount of Ca2+ and PO43- ions and acidic serum proteins (especially fetuin-A and albumin), and several reports specified a role of Mg2+ ions, HCO3- ions, and pyrophosphate in these processes as intrinsic Ca2+ antagonists. Although previous studies delineated cytokines overproduced by ECs under CPP treatment (i.e., interleukin-6, interleukin-8, and monocyte chemoattractant protein 1) and itemised other pathological consequences of CPP internalisation (i.e., hampered NO biosynthesis, endothelial-to-mesenchymal transition, and impaired mechanotransduction), a little is known about the proteomic signatures of ECs to calcium stress. Here we for the first time performed an unbiased proteomic profiling of ECs treated with CPPs and revealed relative enrichment of the protein categories related to mitochondrial and lysosomal physiology after the CPP treatment.

Project description:Pancreatic cancer is the fourth leading cause of cancer death. Lack of early detection technology for pancreatic cancer invariably leads to a typical clinical presentation of incurable disease at initial diagnosis. Oral fluid (saliva) meets the demand for non-invasive, accessible, and highly efficient diagnostic medium. The level of salivary analytes, such as mRNA and microflora, vary upon disease onset; thus possess valuable signatures for early detection and screening. In this study, we evaluated the performance and translational utilities of the salivary transcriptomic and microbial biomarkers for non-invasive detection of early pancreatic cancer. Two biomarker discovery technologies were used to profile transcriptome in saliva supernatant and microflora in saliva pellet. The Affymetrix Human Genome U133 Plus 2.0 Array was used to discover altered gene expression in saliva supernatant. The Human Oral Microbe Identification Microarray (HOMIM) was used to investigate microflora shift in saliva pellet. Biomarkers selected from both studies were subjected to an independent clinical validation using a cohort of 30 early pancreatic cancer, 30 chronic pancreatitis and 30 healthy matched-control saliva samples. Two panels of salivary biomarkers, including eleven mRNA biomarkers and two microbial biomarkers were discovered and validated for pancreatic cancer detection. The logistic regression model with the combination of three mRNA biomarkers (ACRV1, DMXL2 and DPM1) yielded a ROC-plot AUC value of 0.974 (95% CI, 0.896 to 0.997; P < 0.0001) with 93.3% sensitivity and 90% specificity in distinguishing pancreatic cancer patients from healthy subjects. The logistic regression model with the combination of two bacterial biomarkers (Neisseria elongata and Streptococcus mitis) yielded a ROC-plot AUC value of 0.895 (95% CI, 0.784 to 0.961; P < 0.0001) with 96.4% sensitivity and 82.1% specificity in distinguishing pancreatic cancer patients from healthy subjects. Importantly, the logistic regression model with the combination of four biomarkers (mRNA biomarkers, ACRV1, DMXL2 and DPM1; bacterial biomarker, S. mitis) could differentiate pancreatic cancer patients from all non-cancer subjects (chronic pancreatitis and healthy control), yielding a ROC-plot AUC value of 0.949 (95% CI, 0.877 to 0.985; P < 0.0001) with 92.9% sensitivity and 85.5% specificity. This study comprehensively compared the salivary transcriptome and microflora between pancreatic cancer and control subjects. We have discovered and validated eleven mRNA biomarkers and two microbial biomarkers for early detection of pancreatic cancer in saliva. The logistic regression model with four salivary biomarkers can detect pancreatic cancer specifically without the complication of chronic pancreatitis. This is the first report demonstrating the value of multiplex salivary biomarkers for the non-invasive detection of a high impact systemic cancer. Keywords: Salivary biomarker, pancreatic cancer, early detection, salivary transcriptome, salivary microflora This study, which was approved by the UCLA Institutional Review Board, started sample collection in February 2006 and ended in April 2008. It had a discovery and verification phase, followed by an independent validation phase. All patients with clinically diagnosed early or locally advanced pancreatic cancer, chronic pancreatitis and matched healthy control were recruited from the UCLA Medical Center. The controls were matched for gender, age, ethnicity and smoking history. We chose early and locally advanced pancreatic cancers because they were considered early stage diseases. All patients were recently diagnosed with primary disease, and had not received any prior treatment in the form of chemotherapy, radiotherapy, surgery, or alternative remedies. No subjects had a history of prior malignancy, immunodeficiency, autoimmune disorders, hepatitis, or HIV infection. Written informed consent was obtained from all patients who agreed to serve as saliva donors. Unstimulated saliva samples were collected and processed as previously described. The saliva bank of pancreatic disease at the UCLA Dental Research Institute has collected 283 saliva samples since 2006. Of these, 114 samples, from 42 pancreatic cancer patients, 30 chronic pancreatitis patients and 42 healthy control subjects, met the following eligibility criteria: the disease subjectsâ?? samples were obtained immediately after primary diagnosis from patients without evidence of metastasis; the saliva sample was free of blood (Table 1 in accompanying manuscript). Of the 114 samples, 12 pancreatic cancer samples and 12 healthy control samples were chosen for the discovery and verification phase. The transcriptomic approach profiled the saliva supernatant samples from 12 pancreatic cancer patients and 12 healthy control subjects using the Affymetrix Human Genome U133 Plus 2.0 Array platform.

Dataset Information

Transcriptome analysis of self-renewing human pancreatic progenitors derived from pluripotent stem cells

Publications

Long-Term Culture of Self-renewing Pancreatic Progenitors Derived from Human Pluripotent Stem Cells.

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