Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

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Natural cardiogenesis-based template predicts cardiogenic potential of induced pluripotent stem cell lines

ABSTRACT: Rationale: Cardiac development is a complex process that results in the first integrated, multi-lineage embryonic tissue. Imperfect developmental progression leads to congenital heart disease, the most common birth defect with developmental corruption affecting more than 1% of all live births. Interrogation of individual genes has provided the backbone for cardiac developmental biology, yet a comprehensive transcriptome derived from natural cardiogenesis is required to establish an unbiased roadmap to gauge innate developmental milestones necessary for stem cell-based differentiation and in vitro disease modeling. Objective: Establish a contextual expression database of spatial-temporal cardiac structures, and validate a predictive tool to diagnose and predict cardiogenic outcomes from individual pluripotent stem cell lines. Methods and Results: Stage-specific cardiac structures were dissected from eight distinctive embryonic time points to produce a genome-wide expressome analysis across the spectrum of early to late cardiogenesis. Hierarchical clustering of the time course dataset demonstrated discrete gene expression profiles during natural embryonic development. In reference to the native cardiogenic expression roadmap, disruptive iPSC-derived cardiac expression profiles were revealed from pro-cardiogenic 3-factor (SOX2, OCT4, KLF4) compared to non-cardiogenic 4-factor (addition of c-MYC) reprogramming regimens upon stage-specific differentiation. Expression of cardiac-related genes from 3F-iPSC differentiated in vitro at day 0, 5, and 11 recapitulated expression of natural embryos at days 0, E7.5-E8.5, and E14.5-E18.5, respectively. In contrast, 4F-iPSC demonstrated variable gastrulation gene expression profiles beginning at day 5 of differentiation. Differential gene expression within the pluripotent ground state between the archetypical high cardiogenic potential of embryonic stem cells recapitulated in 3F-iPSC vs. the low cardiogenic potential of 4F-iPSC revealed 23 distinguishing candidate genes. Upon subsequent differentiation, cell line-specific gene expression differences were magnified to 399 genes at day 5 and 726 genes at day 11. A confirmed panel of 20 genes, differentially expressed between high and low cardiogenic cell lines, was transformed into a predictive score that was sufficient to correctly rank independent iPSC lines according to cardiogenic potential. Conclusions: Transcriptome analysis attuned to the embryonic developing heart provides a robust platform to probe coordinated cardiac specification and maturation from stem cell-based cardiogenesis model systems. Based on this genome-wide expressome roadmap, a panel of pre-cardiac genes was extracted that allowed differential prognosis of cardiogenic competency from individual reprogrammed cell lines at the pluripotent state. The overall experimental design includes 3 time points (Day0, Day5, Day11) and 3 different stem cell lines: R1 embryonic stem cells (ESCs), H9 induced pluripotent stem cells (H9-iPSCs) generated/reprogrammed by 3 transcription factors (called 3F-iPSCs), and 19BL induced pluripotent stem cells (19BL-iPSCs) generated/reprogrammed by 4 transcription factors (called 4F-iPSC). At each time point, each cell line has 3 biological replicates. In total, there are 27 samples. R1-embryonic stem cells (R1-ESCs): Day0 undifferentiated ESCs - 3 biological replicates, Differentiated for 5 days (Day5) - 3 biological replicates, Differentiated for 11 days (Day11) - 3 biological replicates. 3F-iPSC (H9 iPSCs): Day 0 undifferentiated - 3 biological replicates, Differentiated for 5 days (Day5) - 3 biological replicates, Differentiated for 11 days (Day11) - 3 biological replicates. 4F-iPSC (19BL-iPSCs): Day0 undifferentiated - 3 biological replicates, Differentiated for 5 days (Day5) - 3 biological replicates, Differentiated for 11 days (Day11) - 3 biological replicates.

ORGANISM(S): Mus musculus

SUBMITTER: XING LI

PROVIDER: E-GEOD-43197 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Natural cardiogenesis-based template predicts cardiogenic potential of induced pluripotent stem cell lines.

Martinez-Fernandez Almudena A Li Xing X Hartjes Katherine A KA Terzic Andre A Nelson Timothy J TJ

Circulation. Cardiovascular genetics 20130914 5

<h4>Background</h4>Cardiac development is a complex process resulting in an integrated, multilineage tissue with developmental corruption in early embryogenesis leading to congenital heart disease. Interrogation of individual genes has provided the backbone for cardiac developmental biology, yet a comprehensive transcriptome derived from natural cardiogenesis is required to gauge innate developmental milestones.<h4>Methods and results</h4>Stage-specific cardiac structures were dissected from 8 d ...[more]

PMID: 24036272

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Project description:Rationale: Cardiac development is a complex process that results in the first integrated, multi-lineage embryonic tissue. Imperfect developmental progression leads to congenital heart disease, the most common birth defect with developmental corruption affecting more than 1% of all live births. Interrogation of individual genes has provided the backbone for cardiac developmental biology, yet a comprehensive transcriptome derived from natural cardiogenesis is required to establish an unbiased roadmap to gauge innate developmental milestones necessary for stem cell-based differentiation and in vitro disease modeling. Objective: Apply the contextual expression database of spatial-temporal cardiac structures (published in another manuscript by Li X. from the same group) to diagnose and predict cardiogenic outcomes from individual pluripotent stem cell lines. Methods and Results: Stage-specific cardiac structures were dissected from eight distinctive embryonic time points to produce a genome-wide expressome analysis across the spectrum of early to late cardiogenesis. Hierarchical clustering of the time course dataset demonstrated discrete gene expression profiles during natural embryonic development. In reference to the native cardiogenic expression roadmap, disruptive iPSC-derived cardiac expression profiles were revealed from pro-cardiogenic 3-factor (SOX2, OCT4, KLF4) compared to non-cardiogenic 4-factor (addition of c-MYC) reprogramming regimens upon stage-specific differentiation. Expression of cardiac-related genes from 3F-iPSC differentiated in vitro at day 0, 5, and 11 recapitulated expression of natural embryos at days 0, E7.5-E8.5, and E14.5-E18.5, respectively. In contrast, 4F-iPSC demonstrated variable gastrulation gene expression profiles beginning at day 5 of differentiation. Differential gene expression within the pluripotent ground state between the archetypical high cardiogenic potential of embryonic stem cells recapitulated in 3F-iPSC vs. the low cardiogenic potential of 4F-iPSC revealed 23 distinguishing candidate genes. Upon subsequent differentiation, cell line-specific gene expression differences were magnified to 399 genes at day 5 and 726 genes at day 11. A confirmed panel of 20 genes, differentially expressed between high and low cardiogenic cell lines, was transformed into a predictive score that was sufficient to correctly rank independent iPSC lines according to cardiogenic potential. Conclusions: Transcriptome analysis attuned to the embryonic developing heart provides a robust platform to probe coordinated cardiac specification and maturation from stem cell-based cardiogenesis model systems. Based on this genome-wide expressome roadmap, a panel of pre-cardiac genes was extracted that allowed differential prognosis of cardiogenic competency from individual reprogrammed cell lines at the pluripotent state.

Project description:The differentiation capability of induced pluripotent stem cells (iPSCs) towards certain cell types for disease modelling and drug screening assays might be influenced by their somatic cell of origin. Here, we have compared the neural induction of human iPSCs generated from either fetal neural stem cells (fNSCs), dermal fibroblasts or CD34+ hematopoietic stem cells. Neural progenitor cells (NSCs) and neurons could be generated at similar efficiencies from all iPSCs. Whole genome transcriptome analysis and an expression analysis of neural genes in iPSC-derived NSCs revealed a separation of neuroectoderm- from mesoderm-derived cells. Furthermore, we found genes, which were similarly expressed between fNSCs and neuroectoderm- but not mesoderm-derived NSCs. Notably, these neural signatures were retained after transplantation into the cortex of mice and paralleled with increased survival and integration of neuroectoderm-derived cells in vivo. These results indicated distinct origin- dependent neural cell identities in differentiated human iPSCs both in vitro and in vivo. RNA samples for microarray analysis were prepared using RNeasy columns (Qiagen, Germany) with on-column DNA digestion. 300 ng of total RNA per sample were used as the input in the linear amplification protocol (Ambion), which involved the synthesis of T7-linked double-stranded cDNAs and 12hrs of in vitro transcription incorporating biotin-labeled nucleotides. Purified and labeled cRNA was then hybridized for 18 hrs onto HumanHT-12 v4 expression BeadChips (Illumina, USA) following the manufacturer's instructions. After the recommended washing, the chips were stained with streptavidin-Cy3 (GE Healthcare) and scanned using the iScan reader (Illumina) and the accompanying software. The samples were exclusively hybridized as biological replicates. The RNA samples from in vivo transplanted and FACS sorted cells were amplified using the TargetAmp 2-Round Biotin-aRNA Amplification Kit 3.0 (Epicentre, USA) from 100 pg to 50 microg. 43 samples were analyzed Fib, Human fibroblast F134, 2 replicates CD34+, Human Cord Blood CD34+ Hematopoyetic Stem Cell (HSC), 1 replicate fNSC, Human fetal Neural Stem Cells (NSC), 1 replicate fNSC-1FiPSCa-NSC, Human one factor (POU5F1) fetal Neural Stem Cell (NSC) induced reprogrammed cell (iPSC) clone a, in vitro differentiated to NSC, 2 replicates fNSC-1FiPSCb-NSC, Human one factor (POU5F1) fetal Neural Stem Cell (NSC) induced reprogrammed cell (iPSC) clone b, in vitro differentiated to NSC, 2 replicates fNSC-2FiPSCa-NSC, Human two factors (POU5F1, KLF4) fetal Neural Stems Cell (NSC) induced reprogrammed cell (iPSC) clone a, in vitro differentiated to NSC, 2 replicates CD34-2FiPSCa-NSC, Human two factors (POU5F1, KLF4) cord blood CD34+ Hematopoyetic Stem Cell (HSC) induced reprogrammed cell (iPSC) clone a, in vitro differentiated to NSC, 2 replicates CD34-4FiPSCa-NSC, Human four factors (POU5F1, KLF4, SOX2, CMYC) cord blood CD34+ Hematopoyetic Stem Cell (HSC) induced reprogrammed cell (iPSC) clone a, in vitro differentiated to NSC, 2 replicates CD34-4FiPSCb-NSC, Human four factors (POU5F1, KLF4, SOX2, CMYC) cord blood CD34+ Hematopoyetic Stem Cell (HSC) induced reprogrammed cell (iPSC) clone b, in vitro differentiated to NSC, 2 replicates Fib-4FiPSCa-NSC, Human four factors (POU5F1, KLF4, SOX2, CMYC) fibroblast induced reprogrammed cell (iPSCs) clone a, in vitro differentiated to NSC, 2 replicates Fib-4FiPSCb-NSC, Human four factors (POU5F1, KLF4, SOX2, CMYC) fibroblast induced reprogrammed cell (iPSCs) clone b, in vitro differentiated to NSC, 2 replicates Fib-4FiPSCc-NSC, Human four factors (POU5F1, KLF4, SOX2, CMYC) fibroblast induced reprogrammed cell (iPSCs) clone c, in vitro differentiated to NSC, 1 replicate H1-ESC-NSC, Human H1 embryonic stem cell (ESC), in vitro differentiated to NSC, 2 replicates HUES6-ESC-NSC, Human HUES6 embryonic stem cell (ESC), in vitro differentiated to NSC, 1 replicate fNSC-1FiPSCa, Human one factor (POU5F1) fetal Neural Stem Cell (NSC) induced reprogrammed cell (iPSC) clone a, 1 replicate fNSC-1FiPSCb, Human one factor (POU5F1) fetal Neural Stem Cell (NSC) induced reprogrammed cell (iPSC) clone b, 1 replicate fNSC-2FiPSCa, Human two factors (POU5F1, KLF4) fetal Neural Stems Cell (NSC) induced reprogrammed cell (iPSC) clone a, 1 replicate CD34-2FiPSCa, Human two factors (POU5F1, KLF4) cord blood CD34+ Hematopoyetic Stem Cell (HSC) induced reprogrammed cell (iPSC) clone a, 1 replicate CD34-4FiPSCa, Human four factors (POU5F1, KLF4, SOX2, CMYC) cord blood CD34+ Hematopoyetic Stem Cell (HSC) induced reprogrammed cell (iPSC) clone a, 1 replicate CD34-4FiPSCb, Human four factors (POU5F1, KLF4, SOX2, CMYC) cord blood CD34+ Hematopoyetic Stem Cell (HSC) induced reprogrammed cell (iPSC) clone b, 1 replicate Fib-4FiPSCa, Human four factors (POU5F1, KLF4, SOX2, CMYC) fibroblast induced reprogrammed cell (iPSCs) clone a, 1 replicate Fib-4FiPSCb, Human four factors (POU5F1, KLF4, SOX2, CMYC) fibroblast induced reprogrammed cell (iPSCs) clone b, 1 replicate H1-ESC, Human H1 embryonic stem cell (ESC), 3 replicates HUESC6-ESC, Human HUESC6 embryonic stem cell (ESC) , 2 replicates Fib-4FiPSCa-NSC-In Vivo, Human four factors (POU5F1, KLF4, SOX2, CMYC) fibroblast induced reprogrammed cell (iPSCs) clone a, in vivo differentiated to NSC, 2 replicates fNSC-1FiPSCa-NSC-In Vivo, Human one factor (POU5F1) fetal Neural Stem Cell (NSC) induced reprogrammed cell (iPSC) clone a, in vivo differentiated to NSC, 4 replicates

Project description:The National Institute of Health (NIH) Library of integrated network-based cellular signatures (LINCS) program is premised on generation of a publicly available data resource composed of cell-based biochemical responses or “signatures” to genetic or environmental perturbations. The NeuroLINCS center focuses on human induced pluripotent stem cells (iPSCs) derived from patients with motor neuron disease and the relevant differentiated neuronal cell cultures originating from patients and healthy controls. To establish a robust data generation process we strive to provide i) workflows for the generation of various multi-omic and functional assays for iPSC-derived motor and cortical neurons, ii) public annotated data sets and iii) relevant and targetable biological pathways of two motor neuron disorders, spinal muscular atrophy (SMA) and amyotrophic lateral sclerosis (ALS). Multi-omic assays are performed on aliquots of the same biological specimen and omic data integration analyses have been performed on both iPSCs and iPSC-derived motor neuron (iMN) cultures (unpublished results) Epigenomics, transcriptomics and proteomics data were collected for iPSC cultures originating from 12 individual human iPSC lines. Although iPSCs do not manifest a neurological disease state, they may be explored for asymptomatic biological defects that could ultimately be involved in disease in the context of neuronal tissues. Here we describe the biological diversity of the proteome among 12 individual genetic backgrounds and multiple cell growth replicates of iPSCs. By first defining aspects of non-disease specific biological and technical variability, true disease specific signatures of each omic assay may be extracted with greater clarity. These experiments are part of the transition of discovery proteomics to large data sets consisting of genetically diverse specimens for whole proteome analyses. Through the NIH LINCS program, the multi-omic data sets generated by NeuroLINCS are a public resource provided in tiers of data levels to enable broad applicability throughout the scientific community. From the DIA-MS proteomic analysis of iPSCs originating from 6 cell lines of district genetic backgrounds, 39 proteins recognized iPSC or embryonic stem cell markers were reproducibly quantified with consistent expression levels across all lines analyzed. Another set of consistently quantified proteins extracted from the analyses are more diverse, with little or no known direct associations to iPSCs. Interestingly, some are associated with cancer in the literature, not surprising in that malignancies are known to transition to a less differentiated, more pluripotent biological state to enable increased cell division and metastasis. Possibly even more interesting, as it is less well studied than cancer is the appearance of iPSC proteins quantified that are associated with oocyte health and fertility. Another sub-category of iPSC quantified proteins maybe considered typical housekeeping proteins of cellular metabolism, cell division and cell structure and morphology though as a public resource to be compared with other human tissue or organ cell types many allow the level of expression or isoform specificity to be unique of iPSCs. The data quality assessments and metadata provided make these DIA-MS analyses of 6 cell lines as iPSCs a rich public resource.

Dataset Information

Natural cardiogenesis-based template predicts cardiogenic potential of induced pluripotent stem cell lines

Publications

Natural cardiogenesis-based template predicts cardiogenic potential of induced pluripotent stem cell lines.

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