Project description:We performed single cell transcriptomic profiling of induced human pluripotent stem cells (iPSCs)-derived type 2 alveolar epithelial cells (iAT2). iPSCs stably expressed CRISPRi (dCas9-KRAB) under the control of doxycyline. iAT2s were transduced with a lentivirus expressing gRNA targeting the transcriptional start site of ADGRG6. Cells were treated with or without doxycyline to intiate CRISPRi-knockdown. Prior to capture, cells were labelled with hashing antibodies (HTO). Cells were captured for 10x Genomics Single cell capture (V3 protocol), and GEX and HTO libraries were sequenced. HTODemux function was used to demultiplex the samples. Knockdown of ADGRG6 caused cells to cluster separately from wild-type cells.
Project description:We tried to understand the N-glycoproteom molecular differences between induced pluripotent stem cells and embryonic stem cells. This is important to improve the reprograming process and induced pluripotency in the context of post translational protein N-glycosylation
Project description:Single-cell proteomics (SCP) promises to revolutionize biomedicine by providing an unparalleled view of the proteome in individual cells. Here, we present a high-sensitivity SCP workflow identifying >5000 proteins in individual HeLa cells. It also facilitated direct detection of post-translational modifications (PTMs) in single-cells, negating the need for specific PTM-enrichment. Our study demonstrates the feasibility of processing up to 80 label-free SCP samples per day. An optimized tissue dissociation buffer enabled effective single cell disaggregation of drug-treated cancer cell spheroids, refining overall SCP analysis. Analyzing non-directed induced pluripotent stem cell (iPSC) differentiation, we consistently quantified stem cell markers OCT4 and SOX2 in hiPSCs and lineage markers like GATA4 (mesoderm), HAND1 (endoderm) and MAP2 (ectoderm) in different embryoid body cells. Our workflow sets a new benchmark in SCP for sensitivity and throughput, with broad applications in basic biology and biomedicine for identification of cell type-specific markers and therapeutic targets.
Project description:Single-cell proteomics (SCP) promises to revolutionize biomedicine by providing an unparalleled view of the proteome in individual cells. Here, we present a high-sensitivity SCP workflow identifying >5000 proteins in individual HeLa cells. It also facilitated direct detection of post-translational modifications (PTMs) in single-cells, negating the need for specific PTM-enrichment. Our study demonstrates the feasibility of processing up to 80 label-free SCP samples per day. An optimized tissue dissociation buffer enabled effective single cell disaggregation of drug-treated cancer cell spheroids, refining overall SCP analysis. Analyzing non-directed induced pluripotent stem cell (iPSC) differentiation, we consistently quantified stem cell markers OCT4 and SOX2 in hiPSCs and lineage markers like GATA4 (mesoderm), HAND1 (endoderm) and MAP2 (ectoderm) in different embryoid body cells. Our workflow sets a new benchmark in SCP for sensitivity and throughput, with broad applications in basic biology and biomedicine for identification of cell type-specific markers and therapeutic targets.
Project description:Single-cell proteomics (SCP) promises to revolutionize biomedicine by providing an unparalleled view of the proteome in individual cells. Here, we present a high-sensitivity SCP workflow identifying >5000 proteins in individual HeLa cells. It also facilitated direct detection of post-translational modifications (PTMs) in single-cells, negating the need for specific PTM-enrichment. Our study demonstrates the feasibility of processing up to 80 label-free SCP samples per day. An optimized tissue dissociation buffer enabled effective single cell disaggregation of drug-treated cancer cell spheroids, refining overall SCP analysis. Analyzing non-directed induced pluripotent stem cell (iPSC) differentiation, we consistently quantified stem cell markers OCT4 and SOX2 in hiPSCs and lineage markers like GATA4 (mesoderm), HAND1 (endoderm) and MAP2 (ectoderm) in different embryoid body cells. Our workflow sets a new benchmark in SCP for sensitivity and throughput, with broad applications in basic biology and biomedicine for identification of cell type-specific markers and therapeutic targets.
Project description:We performed single cell transcriptomic profiling of induced human pluripotent stem cells (iPSCs)-derived type 2 alveolar epithelial cells (iAT2). iPSCs stably expressed CRISPRi (dCas9-KRAB) under the control of doxycyline. iAT2s were transduced with a lentivirus expressing gRNA targeting the transcriptional start site of DSP. Cells were treated with or without doxycyline to intiate CRISPRi-knockdown. Prior to capture, cells were labelled with hashing antibodies (HTO). Cells were captured for 10x Genomics Single cell capture (V3 protocol), and GEX and HTO libraries were sequenced. HTODemux function was used to demultiplex the samples. Knockdown of DSP caused cells to cluster separately from wild-type cells.