Scalable single-cell RNA sequencing from full transcripts with Smart-seq3xpress
Michael Hagemann-Jensen, Christoph Ziegenhain & Rickard Sandberg
Nat Biotechnology (2022). https://doi.org/10.1038/s41587-022-01311-4
Molecular spikes: a gold standard for single-cell RNA counting
Christoph Ziegenhain , Gert-Jan Hendriks, Michael Hagemann-Jensen and Rickard Sandberg
Nature Methods (2022) https://doi.org/10.1038/s41592-022-01446-x
Transcriptional kinetics and molecular functions of long noncoding RNAs
Per Johnsson, Christoph Ziegenhain, Leonard Hartmanis, Gert-Jan Hendriks, Michael Hagemann-Jensen, Bjorn Reinius and Rickard Sandberg
Nature Genetics (2022). https://doi.org/10.1038/s41588-022-01014-1
Phenotypic variation of transcriptomic cell types in mouse motor cortex
Federico Scala, Dmitry Kobak, Matteo Bernabucci, Yves Bernaerts, Cathryn René Cadwell, Jesus Ramon Castro, Leonard Hartmanis, Xiaolong Jiang, Sophie Laturnus, Elanine Miranda, Shalaka Mulherkar, Zheng Huan Tan, Zizhen Yao, Hongkui Zeng, Rickard Sandberg, Philipp Berens, Andreas S Tolias
Nature (2020). https://doi.org/10.1038/s41586-020-2907-3
Single-cell RNA counting at allele and isoform resolution using Smart-seq3
Michael Hagemann-Jensen, Christoph Ziegenhain, Ping Chen, Daniel Ramsköld, Gert-Jan Hendriks, Anton J. M. Larsson, Omid R. Faridani & Rickard Sandberg
Nature Biotechnology 2020. https://doi.org/10.1038/s41587-020-0497-0
Genomic encoding of transcriptional burst kinetics
Larsson, AJM; Johnsson, P; Hagemann-Jensen, M; Hartmanis, L; Faridani, OR; Reinius, B; Segerstolpe, Å; Rivera, CM; Ren, B; Sandberg, R
Nature, 2019, 251-254.
NASC-seq monitors RNA synthesis in single cells
Hendriks, GJ; Jung, LA; Larsson, AJM; Lidschreiber, M; Andersson Forsman, O; Lidschreiber, K; Cramer, P; Sandberg, R
Nature communications, 2019, 3138-.
X-chromosome upregulation is driven by increased burst frequency
Larsson, AJM; Coucoravas, C; Sandberg, R; Reinius, B
Nature Structural & Molecular Biology, 2019, 963-969.
Computational correction of index switching in multiplexed sequencing libraries
Larsson, AJM; Stanley, G; Sinha, R; Weissman, IL; Sandberg, R
Nature methods, 2018, 305-307.
Identification of spatial expression trends in single-cell gene expression data
Edsgärd, D; Johnsson, P; Sandberg, R
Nature methods, 2018, 339-342.
Analysis of allelic expression patterns in clonal somatic cells by single-cell RNA-seq
Reinius, B; Mold, JE; Ramsköld, D; Deng, Q; Johnsson, P; Michaëlsson, J; Frisén, J; Sandberg, R
Nature genetics, 2016, 1430-1435.
Electrophysiological, transcriptomic and morphologic profiling of single neurons using Patch-seq
Cadwell, CR; Palasantza, A; Jiang, X; Berens, P; Deng, Q; Yilmaz, M; Reimer, J; Shen, S; Bethge, M; Tolias, KF; Sandberg, R*; Tolias, AS*
Nature biotechnology, 2016, 199-203.
scphaser: haplotype inference using single-cell RNA-seq data
Edsgärd, D; Reinius, B; Sandberg, R
Bioinformatics (Oxford, England), 2016, 3038-40.
Single-Cell RNA-Seq Reveals Lineage and X Chromosome Dynamics in Human Preimplantation Embryos
Petropoulos, S; Edsgärd, D; Reinius, B; Deng, Q; Panula, SP; Codeluppi, S; Plaza Reyes, A; Linnarsson, S; Sandberg, R*; Lanner, F*
Cell, 2016, 1012-26.
Single-cell sequencing of the small-RNA transcriptome
Faridani, OR; Abdullayev, I; Hagemann-Jensen, M; Schell, JP; Lanner, F; Sandberg, R
Nature biotechnology, 2016, 1264-1266.
Single-Cell Transcriptome Profiling of Human Pancreatic Islets in Health and Type 2 Diabetes
Segerstolpe, Å; Palasantza, A; Eliasson, P; Andersson, EM; Andréasson, AC; Sun, X; Picelli, S; Sabirsh, A; Clausen, M; Bjursell, MK; Smith, DM; Kasper, M; Ämmälä, C; Sandberg, R
Cell metabolism, 2016, 593-607.
Random monoallelic expression of autosomal genes: stochastic transcription and allele-level regulation
Reinius, B; Sandberg, R
Nature reviews. Genetics, 2015, 653-64.
Entering the era of single-cell transcriptomics in biology and medicine
Sandberg, R
Nature Methods, 2014, 22-4.
Single-cell RNA-seq reveals dynamic, random monoallelic gene expression in mammalian cells
Deng, Q; Ramsköld, D; Reinius, B; Sandberg, R
Science (New York, N.Y.), 2014, 193-6.
Tn5 transposase and tagmentation procedures for massively scaled sequencing projects
Picelli, S; Björklund, AK; Reinius, B; Sagasser, S; Winberg, G; Sandberg, R
Genome research, 2014, 2033-40.
Smart-seq2 for sensitive full-length transcriptome profiling in single cells
Picelli, S; Björklund, ÅK; Faridani, OR; Sagasser, S; Winberg, G; Sandberg, R
Nature methods, 2013, 1096-8.
Full-length mRNA-Seq from single-cell levels of RNA and individual circulating tumor cells
Ramsköld, D; Luo, S; Wang, YC; Li, R; Deng, Q; Faridani, OR; Daniels, GA; Khrebtukova, I; Loring, JF; Laurent, LC; Schroth, GP; Sandberg, R
Nature biotechnology, 2012, 777-82.
Alternative isoform regulation in human tissue transcriptomes
Wang, ET; Sandberg, R; Luo, SJ; Khrebtukova, I; Zhang, L; Mayr, C; Kingsmore, SF; Schroth, GP; Burge, CB
Nature, 2008, 470-6.
Proliferating cells express mRNAs with shortened 3 ' untranslated regions and fewer microRNA target sites
Sandberg, R; Neilson, JR; Sarma, A; Sharp, PA; Burge, CB
Science, 2008, 1643-7.
© 2022 Sandberg lab at Karolinska Institutet, Stockholm, Sweden.