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accession-icon SRP136263
Human Cellular Model of Hypoxic Brain Injury of Prematurity
  • organism-icon Homo sapiens
  • sample-icon 41 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 4000

Description

Extremely premature birth is associated with an increased risk for hypoxic brain injury due to lung immaturity and this results in severe long-term neurodevelopmental impairments. The susceptible cell types in the cerebral cortex at this critical developmental time point and the molecular mechanisms underlying associated gray matter defects in premature infants are not known. Here, we used a human three-dimensional (3D) cellular system to study the effect of changes in oxygen tension on the mid-gestation human cerebral cortex. We identified specific defects in intermediate progenitors, a cortical cell type associated with the expansion of the human cerebral cortex, and show that these are related to the unfolded protein response (UPR) and cell cycle changes. Moreover, we verify these findings in human primary cortical tissue and demonstrate that a modulator of the UPR pathway can prevent the reduction in intermediate progenitors following hypoxia. We anticipate that this human cellular platform will be useful in studying other environmental and genetic factors underlying brain injury in premature infants. We investigated the transcriptional changes associated with exposure to <1% O2 by performing RNA sequencing. Overall design: RNA-seq, 101 bp singlepaired-end reads; minimum of 40 million high quality reads per sample) at 24 and 48 hours (middle and end of <1% O2 for hypoxic condition), as well as after 72 hours of re-oxygenation at 21% O2.

Publication Title

Human 3D cellular model of hypoxic brain injury of prematurity.

Sample Metadata Fields

Subject, Time

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accession-icon SRP149174
Differentiation and maturation of oligodendrocytes in human three-dimensional neural cultures
  • organism-icon Homo sapiens
  • sample-icon 262 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 4000

Description

We report a method for deriving oligodendrocyte lineage cells from human pluripotent stem cells (hPSCs) in three-dimensional (3D) culture called human oligodendrocyte spheroids (hOLS). To characterize oligodendrocyte-lineage cells in hOLS, we isolated O4+ cells by immunopanning and performed deep single cell RNA sequencing. We sequenced 295 cells and compared their profiles to unsorted cells isolated from primary human fetal cortex, primary human adult cortex, and hCS. Clustering of all cells using the t-distributed stochastic neighbor embedding (tSNE) approach revealed a distinct populations of SOX10+ oligodendrocytes, within which the O4+ cells derived from hOLS clustered most closely to oligodendrocyte progenitor cells (OPCs) and mature oligodendrocytes from the primary human adult cortical tissue. Additionally, subpopulations of OPCs, newly formed oligodendrocytes, and myelinating oligodendrocytes derived were observed in the hOLS-derived cluster. To further assess the state of oligodendrocyte-lineage cells in hOLS, we performed a Monocle analysis which revealed a spectrum of oligodendrocyte-lineage stages in hOLS ranging from dividing cells that closely resembled primary OPCs to mature cells that closely resembled primary oligodendrocytes. Overall design: Examination of gene expression in single oligodendrocyte-lineage cells derived from human pluripotent stem cells in three-dimensional culture

Publication Title

Differentiation and maturation of oligodendrocytes in human three-dimensional neural cultures.

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refine.bio is a repository of uniformly processed and normalized, ready-to-use transcriptome data from publicly available sources. refine.bio is a project of the Childhood Cancer Data Lab (CCDL)

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Cite refine.bio

Casey S. Greene, Dongbo Hu, Richard W. W. Jones, Stephanie Liu, David S. Mejia, Rob Patro, Stephen R. Piccolo, Ariel Rodriguez Romero, Hirak Sarkar, Candace L. Savonen, Jaclyn N. Taroni, William E. Vauclain, Deepashree Venkatesh Prasad, Kurt G. Wheeler. refine.bio: a resource of uniformly processed publicly available gene expression datasets.
URL: https://www.refine.bio

Note that the contributor list is in alphabetical order as we prepare a manuscript for submission.

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