Ramsköld, Daniel

Full-length mRNA-Seq from single-cell levels of RNA and individual circulating tumor cells

Ramsköld, D., Luo, S., Wang, Y.-C., Li, R., Deng, Q., Faridani, O. R., Daniels, G. A., Khrebtukova, I., Loring, J. F., Laurent, L. C., et al. (2012) · Nature Biotechnology

Single-cell and spatial transcriptomicsGenomics and Phylogenetic Studies

Cited by 1,609

Single-Cell RNA-Seq Reveals Dynamic, Random Monoallelic Gene Expression in Mammalian Cells

Deng, Q., Ramsköld, D., Reinius, B., & Sandberg, R. (2014) · Science

Genetic Syndromes and ImprintingGenomics and Chromatin Dynamics

Cited by 1,345

An Abundance of Ubiquitously Expressed Genes Revealed by Tissue Transcriptome Sequence Data

Ramsköld, D., Wang, E. T., Burge, C. B., & Sandberg, R. (2009) · PLoS Computational Biology

Genomics and Phylogenetic StudiesGene expression and cancer classification

Cited by 820

Single-cell RNA counting at allele and isoform resolution using Smart-seq3

Hagemann-Jensen, M., Ziegenhain, C., Chen, P., Ramsköld, D., Hendriks, G.-J., Larsson, A. J. M., Faridani, O. R., & Sandberg, R. (2020) · Nature Biotechnology

Single-cell and spatial transcriptomicsGenomics and Phylogenetic Studies

Cited by 700

Analysis of allelic expression patterns in clonal somatic cells by single-cell RNA–seq

Reinius, B., Mold, J. E., Ramsköld, D., Deng, Q., Johnsson, P., Michaëlsson, J., Frisén, J., & Sandberg, R. (2016) · Nature Genetics

Genetic Syndromes and ImprintingSingle-cell and spatial transcriptomics

Cited by 149