Project description:We introduce single-cell Proteoform imaging Mass Spectrometry (scPiMS), which realizes the benefit of direct solvent extraction and MS detection of intact proteins from single cells drop casted onto glass slides. Sampling and detection of whole proteoforms by individual ion mass spectrometry enables a scalable approach to single-cell proteomics. This new scPiMS platform addresses the throughput bottleneck in single cell proteomics and boosts cell processing rate by several fold while accessing protein composition with higher coverage.
Project description:A cell suspension was prepared from wild-type P14 mouse retinas, and single-cell mRNAseq libraries were generated with Drop-Seq. Drop-Seq was performed on four separate days using the same age (P14) and strain (C57BL/6). On day 1, replicate 1 was obtained. On day 2, replicates 2 and 3 were obtained. On day 3, replicates 4-6 were obtained. On day 4, replicate 7 was obtained.
Project description:A single cell suspension was generated from IDOL KO and Control mouse hypothalami, and single-cell mRNAseq libraries were generated with Drop-Seq.
Project description:Cell suspensions were prepared from mouse lungs dissociated at baseline or 14 days after intratracheal bleomycin injury, and single cell mRNA-seq libraries were generated with Drop-seq.
Project description:A single cell suspension was generated from 24hr TBI and Sham mouse hippocampi, and single-cell mRNAseq libraries were generated with Drop-Seq.
Project description:We developed the first droplet-based single-cell total-RNA-seq method. We refer to this platform as Multiple Annealing and Tailing-based Quantitative scRNA-seq in Droplet (MATQ-Drop). With the detection of nascent RNA species, we showed that the cell atlas of human brain samples could be effectively constructed based on nascent RNA species. Furthermore, we observed that only lncRNA species are sufficient to construct the cell atlas, suggesting that MATQ-Drop allows a large-scale identification of the cell-type-specific lncRNA species. Beyond total-RNA profiling for single nuclei, we also showed that MATQ-Drop could be used to profile the transcripts in different neuronal sub-compartments. Based on transcriptome profiling, we were able to determine different types of sub-compartments—in particular, synapses. Here we have referred to the transcriptome of individual synapses as the synaptome, and we identified different subtypes of pre-synapses and post-synapses. Furthermore, between pre-synapses and post-synapses, as well as between pre-synapses and the nuclei, we were able to identify different functional enrichments. Our result unveils unprecedented new insights about gene expression in individual synapses. It also demonstrates the feasibility of using MATQ-drop to profile the transcriptome of sub-cellular compartments.