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Reassessment of marker genes in human induced pluripotent stem cells for enhanced quality control
by
Diecke, Sebastian
, Rossi, Andrea
, Dobner, Jochen
, Krutmann, Jean
, Prigione, Alessandro
in
13
/ 13/100
/ 13/106
/ 14
/ 38
/ 38/39
/ 38/77
/ 45
/ 49
/ 631/532/1360
/ 631/532/2064/2158
/ 631/61
/ Biomarkers
/ Biomarkers - metabolism
/ Cell differentiation
/ Cell Differentiation - genetics
/ Cell fate
/ Cell Line
/ Ectoderm
/ Ectoderm - cytology
/ Ectoderm - metabolism
/ Endoderm
/ Endoderm - cytology
/ Endoderm - metabolism
/ Gene Expression Profiling - methods
/ Gene sequencing
/ Genes
/ Humanities and Social Sciences
/ Humans
/ Induced Pluripotent Stem Cells - cytology
/ Induced Pluripotent Stem Cells - metabolism
/ Learning algorithms
/ Machine Learning
/ Mesoderm
/ Mesoderm - cytology
/ Mesoderm - metabolism
/ multidisciplinary
/ Nanog Homeobox Protein - genetics
/ Nanog Homeobox Protein - metabolism
/ Organoids
/ Organoids - metabolism
/ Pax6 protein
/ Pluripotency
/ Quality Control
/ Science
/ Science (multidisciplinary)
/ Standardization
/ Stem cells
/ T-Box Domain Proteins
/ Transcriptome
/ Transcriptomes
2024
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Reassessment of marker genes in human induced pluripotent stem cells for enhanced quality control
by
Diecke, Sebastian
, Rossi, Andrea
, Dobner, Jochen
, Krutmann, Jean
, Prigione, Alessandro
in
13
/ 13/100
/ 13/106
/ 14
/ 38
/ 38/39
/ 38/77
/ 45
/ 49
/ 631/532/1360
/ 631/532/2064/2158
/ 631/61
/ Biomarkers
/ Biomarkers - metabolism
/ Cell differentiation
/ Cell Differentiation - genetics
/ Cell fate
/ Cell Line
/ Ectoderm
/ Ectoderm - cytology
/ Ectoderm - metabolism
/ Endoderm
/ Endoderm - cytology
/ Endoderm - metabolism
/ Gene Expression Profiling - methods
/ Gene sequencing
/ Genes
/ Humanities and Social Sciences
/ Humans
/ Induced Pluripotent Stem Cells - cytology
/ Induced Pluripotent Stem Cells - metabolism
/ Learning algorithms
/ Machine Learning
/ Mesoderm
/ Mesoderm - cytology
/ Mesoderm - metabolism
/ multidisciplinary
/ Nanog Homeobox Protein - genetics
/ Nanog Homeobox Protein - metabolism
/ Organoids
/ Organoids - metabolism
/ Pax6 protein
/ Pluripotency
/ Quality Control
/ Science
/ Science (multidisciplinary)
/ Standardization
/ Stem cells
/ T-Box Domain Proteins
/ Transcriptome
/ Transcriptomes
2024
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Reassessment of marker genes in human induced pluripotent stem cells for enhanced quality control
by
Diecke, Sebastian
, Rossi, Andrea
, Dobner, Jochen
, Krutmann, Jean
, Prigione, Alessandro
in
13
/ 13/100
/ 13/106
/ 14
/ 38
/ 38/39
/ 38/77
/ 45
/ 49
/ 631/532/1360
/ 631/532/2064/2158
/ 631/61
/ Biomarkers
/ Biomarkers - metabolism
/ Cell differentiation
/ Cell Differentiation - genetics
/ Cell fate
/ Cell Line
/ Ectoderm
/ Ectoderm - cytology
/ Ectoderm - metabolism
/ Endoderm
/ Endoderm - cytology
/ Endoderm - metabolism
/ Gene Expression Profiling - methods
/ Gene sequencing
/ Genes
/ Humanities and Social Sciences
/ Humans
/ Induced Pluripotent Stem Cells - cytology
/ Induced Pluripotent Stem Cells - metabolism
/ Learning algorithms
/ Machine Learning
/ Mesoderm
/ Mesoderm - cytology
/ Mesoderm - metabolism
/ multidisciplinary
/ Nanog Homeobox Protein - genetics
/ Nanog Homeobox Protein - metabolism
/ Organoids
/ Organoids - metabolism
/ Pax6 protein
/ Pluripotency
/ Quality Control
/ Science
/ Science (multidisciplinary)
/ Standardization
/ Stem cells
/ T-Box Domain Proteins
/ Transcriptome
/ Transcriptomes
2024
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Reassessment of marker genes in human induced pluripotent stem cells for enhanced quality control
Journal Article
Reassessment of marker genes in human induced pluripotent stem cells for enhanced quality control
2024
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Overview
Human induced pluripotent stem cells (iPSCs) have great potential in research, but pluripotency testing faces challenges due to non-standardized methods and ambiguous markers. Here, we use long-read nanopore transcriptome sequencing to discover 172 genes linked to cell states not covered by current guidelines. We validate 12 genes by qPCR as unique markers for specific cell fates: pluripotency (
CNMD
,
NANOG
,
SPP1
), endoderm (
CER1
,
EOMES
,
GATA6
), mesoderm (
APLNR
,
HAND1
,
HOXB7
), and ectoderm (
HES5
,
PAMR1
,
PAX6
). Using these genes, we develop a machine learning-based scoring system, “hiPSCore”, trained on 15 iPSC lines and validated on 10 more. hiPSCore accurately classifies pluripotent and differentiated cells and predicts their potential to become specialized 2D cells and 3D organoids. Our re-evaluation of cell fate marker genes identifies key targets for future studies on cell fate assessment. hiPSCore improves iPSC testing by reducing time, subjectivity, and resource use, thus enhancing iPSC quality for scientific and medical applications.
Quality control, including pluripotency testing of human iPSCs lacks standardization. Here, authors identify and validate gene markers to develop the machine learning-based hiPSCore to streamline pluripotency testing and elevate iPSC quality.
Publisher
Nature Publishing Group UK,Nature Publishing Group,Nature Portfolio
Subject
/ 13/100
/ 13/106
/ 14
/ 38
/ 38/39
/ 38/77
/ 45
/ 49
/ 631/61
/ Cell Differentiation - genetics
/ Ectoderm
/ Endoderm
/ Gene Expression Profiling - methods
/ Genes
/ Humanities and Social Sciences
/ Humans
/ Induced Pluripotent Stem Cells - cytology
/ Induced Pluripotent Stem Cells - metabolism
/ Mesoderm
/ Nanog Homeobox Protein - genetics
/ Nanog Homeobox Protein - metabolism
/ Science
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