Researchers studying gene expression have access to vast amounts of data from cells or tissues. This is thanks to advances in ...

Single-cell multiomics sequencing techniques have rapidly developed in the past few years. Among these techniques, single-cell cellular indexing of transcriptomes and epitopes (CITE-seq) allows ...

Rising demand for precision medicine & groundbreaking innovations in RNA sequencing drive growth in oncology, drug discovery, & personalized therapies. Akash Anand SNS Insider Pvt. Ltd 415-230-0044 ...

Single-cell RNA sequencing (scRNA-seq) research of mouse and human CD8 + T cells revealed a surprising ... By default, we employ a global-scaling normalization method “LogNormalize” that normalizes ...

Abstract: Accurate cell classification is crucial but expensive for large-scale single-cell RNA sequencing (scRNA-seq ... Nevertheless, the rising scale of scRNA-seq data presents challenges to ...

retriever generates disease-specific transcriptional drug response signatures by merging transcriptional signatures over time, concentration, and cell-type. These signatures can then be matched to ...

Single-cell and bulk RNA sequencing data generated in this study are deposited at the National Omics ... Detailed information of patient enrolment, sample processing and purity assessment is provided ...

Here, we present a robust method for isolating nuclei for snRNA-seq, which enhances the quality of nuclear RNA and preserves nucleus integrity across various tissue types. Using this method, we have ...

Our results revealed that single-cell RNA sequencing can be employed in detection of rare tumour types (eg ... was classified in the putative non-malignant group (online supplementary figure S3D), ...

引言近年来，单细胞RNA测序技术（scRNA-seq）在揭示复杂生物系统和探索遗传学及临床研究中取得了突破性进展。然而，仅依赖单一的转录组信息往往难以区分分子相似但功能差异显著的细胞类别。因此，融合多种模态信息的单细胞测序技术逐渐成为研究热点，通过同时获取单个细胞的多维数据，研究人员能够更全面地解析细胞状态及其 ...