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accession-icon SRP060478
Single Cell Sequencing Identifies Key Epigenetic Regulators in Nuclear Transfer Mediated Reprogramming [RNA-seq]
  • organism-icon Mus musculus
  • sample-icon 116 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

Differentiated cell can be reprogrammed into totipotent embryo through somatic cell nuclear transfer (SCNT). However, this process is highly inefficient and most cloned embryos arrest at certain developmental stages. Through single cell sequencing combined with embryo biopsy, here we generate a global map of DNA methylome and RNA transcriptome for SCNT embryos with distinct developmental fates. We subsequently demonstrate that the unfaithful reactivation of two histone demethylases, Kdm4b and Kdm5b, accounts for the arrest of cloned embryos at 2-cell and 4-cell stage, respectively. Ectopic expression of Kdm4b and Kdm5b in SCNT can remove H3K9me3 barrier, restore the transcription profile and facilitate the blastocyst developmental efficiency over 95%. Moreover, these cloned embryos can further support full-term development and the derivation of SCNT-embryonic stem cells with greater efficiency. Our study reveals that histone methylation reset is crucial for the development of SCNT embryos, which provides a clue to further improve therapeutic cloning. Overall design: For SCNT embryos or injected SCNT embryos 3-8 replicates were performed for each stage . As the control, 3-6 replicates were performed for each stage of wild type samples

Publication Title

Identification of key factors conquering developmental arrest of somatic cell cloned embryos by combining embryo biopsy and single-cell sequencing.

Sample Metadata Fields

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accession-icon SRP103839
Single-cell Multi-omics Sequencing and Analyses of Human Colorectal Cancer
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon

Description

Although genomic instability, epigenetic abnormality, and gene expression dysregulation are hallmarks of colorectal cancer, these features have not been simultaneously analyzed at single-cell resolution. Using optimized single-cell multi-omics sequencing together with multi-regional sampling of the primary tumor, lymphatic and distant metastases, we provide insights beyond intratumoral heterogeneity. Genome-wide DNA methylation levels were relatively consistent within a single genetic sub-lineage. The genome-wide DNA demethylation patterns of cancer cells were consistent in all 10 sequenced patients. Our work demonstrates the feasibility of reconstructing genetic lineages, and tracing their epigenomic and transcriptomic dynamics with single-cell multi-omics sequencing. Overall design: Single cell RNA-seq and Bisulfite-seq on whole cells or by TrioSeq2. [scTrioSeq2Rna and scTrioSeq2Met Samples] Sample Title structure: Library_PatientID_SamplingPositions_CellID SamplingPositions abbreviations: PT: Primary Tumor LN: Lymph Node metastasis ML: Liver Metastasis MP: Post-treatment Liver Metastasis

Publication Title

Single-cell multiomics sequencing and analyses of human colorectal cancer.

Sample Metadata Fields

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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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