Project description:Sample multiplexed scRNA-seq is a promising strategy to overcome current barriers in high cost and potential technical variations by multiple scRNA-seq tests. In this study, we developed a highly efficienct novel sample barcode labeling method using DNA-encoded Lipid Nanoparticles ('Nanocoding') that could label cells with minimal dependence on their type or sample conditions. This method provids a roubust and general protocol for sample barcoding and multiplexing in scRNA-seq. We demonstrated the performance of Nanocoding through three scRNA-seq studies, which include: 1. mouse spleen cells mix (one dataset including 6 mouse spleen tissues samples); 2. HeLa-mouse Stromal Vascular Fraction(SVF) cells mix (one dataset containing mixed HeLa cell and SVF cell); 3. Aged-Young SVF cells mix (one dataset containing two SVF samples) tests. These studies showcased the biomodal distribution of barcode counts in different models with high signal-to-background ratio, as well as pan-cell labeling activity for efficient and accurate sample-multiplexing. By using Nanocoding, we profiled obsity and age related change in lipid metabolism associated genes or inflammatory related features, in various cell types from spleen or adipose tissues.
Project description:UV cross-linking and immunoprecipitation (CLIP) methodologies enable the identification of RNA binding sites of RNA-binding proteins (RBPs). Despite improvements in the library preparation of RNA fragments, the current enhanced CLIP (eCLIP) protocol still requires ~4 days of hands-on time and lacks the ability to scale. We present a new method termed antibody barcode CLIP (ABC) that utilizes DNA-barcoded antibodies to multiplex CLIP detection methods. We demonstrate the scalability and simplicity of ABC by performing CLIP on multiple RBPs simultaneously, minimizing sample-to-sample variation, and maintaining the same material requirement for a single eCLIP experiment.
Project description:These datasets are test datasets of sample-multiplexed scRNA-seq, consisting of cDNA (transcriptome) and sample barcode read files: Three-sample multiplexing experiment (JS009) is a MULTI-seq dataset containing mesenchyme embryonic hind limb bud cells, embryonic stem (ES) cells, and NIH3T3 cells. Each cell sample was labelled with a distinct MULTI-seq barcode. The barcode sequences were, CATAGAGC, TCCTCGAA, and GTGTACCT for the limb bud mesenchyme cells, the ES cells, and the NIH3T3 cells, respectively. Two-sample multiplexing experiment (JS010) is a CellPlex detaset, containing ES cells and NIH3T3 cells. Each cell sample was labelled with the 3'CellPlex Kit (10X Genomics). NIH3T3 cells and ES cells were labelled with CMO301 and CMO302, respectively.
Project description:BACKGROUND: The multiplexing becomes the major limitation of the next-generation sequencing (NGS) in application to low complexity samples. Physical space segregation allows limited multiplexing, while the existing barcode approach only permits simultaneously analysis of up to several dozen samples. RESULTS: Here we introduce pair-barcode sequencing (PBS), an economic and flexible barcoding technique that permits parallel analysis of large-scale multiplexed samples. In two pilot runs using SOLiD sequencer (Applied Biosystems Inc.), 32 independent pair-barcoded miRNA libraries were simultaneously discovered by the combination of 4 unique forward barcodes and 8 unique reverse barcodes. Over 174,000,000 reads were generated and about 64% of them are assigned to both of the barcodes. After mapping all reads to pre-miRNAs in miRBase, different miRNA expression patterns are captured from the two clinical groups. The strong correlation using different barcode pairs and the high consistency of miRNA expression in two independent runs demonstrates that PBS approach is valid. CONCLUSIONS: By employing PBS approach in NGS, large-scale multiplexed pooled samples could be practically analyzed in parallel so that high-throughput sequencing economically meets the requirements of samples which are low sequencing throughput demand.
Project description:High-throughput single-cell assays increasingly require special consideration in experimental design, sample multiplexing, batch effect removal, and data interpretation. Here, we describe a lentiviral barcode-based multiplexing approach, CellTag Indexing, which uses predefined genetic barcodes that are also heritable, enabling cell populations to be tagged, pooled, and tracked over time in the same experimental replicate. We demonstrate the utility of CellTag Indexing by sequencing transcriptomes using a variety of cell types, including long-term tracking of cell engraftment and differentiation in vivo. Together, this presents CellTag Indexing as a broadly applicable genetic multiplexing tool that is complementary with existing single-cell technologies.
Project description:Barcode-based multiplexing methods can be used to increase throughput and reduce batch effects in large single-cell genomics studies. To evaluate methods for demultiplexing barcode-multiplexed data, we generated a dataset by labeling samples separately with barcode-tagged antibodies, mixing those samples, and progressively overloading a droplet-based scRNA-seq system.
Project description:In MINUTE-ChIP, native chromatin is fragmented using Micrococcal nuclease, and subsequently blunted and ligated to double-stranded DNA adaptors that include a T7 RNA polymerase promoter and a sample barcode sequence. Finally, samples are combined and subsequent ChIP reactions are performed with the pooled samples. ChIP material is prepared into an Illumina-compatible library using linear amplification by virtue of T7 RNA polymerase, reverse transcription and a low-cycle library PCR amplification. Native MINUTE-ChIP is based on Mint-ChIP, developed by the Bernstein lab (van Galen et al., 2016; PMID: 26687680). We have introduce unique molecule (UMI) counting and paired-end mapping of the chromatin fragments to this method, which we then termed MINUTE-ChIP for multiplexed indexed unique molecule T7 amplification end-to-end sequencing. Here, we generate a standard curve for H3K27me3 and demonstrate that MINUTE-ChIP has a large linear dynamic range, thus MINUTE-ChIP quantitation is proportional to real quantities.