Sven Schuierer

Sven Schuierer


Research Focus & Metrics

Academic Career Length

17Years (2010-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
1 September 2020 in Cell
Verified
Journal Article
Open access
CCCameron S. Cowan
Cameron S. Cowan
MRMagdalena Renner
Magdalena Renner
MGMartina De Gennaro
Martina De Gennaro
BGBrigitte Gross-Scherf
Brigitte Gross-Scherf
DGDavid Goldblum
David Goldblum
BRBotond Roska
Botond Roska
Human organoids recapitulating the cell-type diversity and function of their target organ are valuable for basic and translational research. We developed light-sensitive human retinal organoids with multiple nuclear and synaptic layers and functional synapses. We sequenced the RNA of 285,441 single cells from these organoids at seven developmental time points and from the periphery, fovea, pigment epithelium and choroid of light-responsive adult human retinas, and performed histochemistry. Cell types in organoids matured in vitro to a stable “developed” state at a rate similar to human retina development in vivo. Transcriptomes of organoid cell types converged toward the transcriptomes of adult peripheral retinal cell types. Expression of disease-associated genes was cell-type-specific in adult retina, and cell-type specificity was retained in organoids. We implicate unexpected cell types in diseases such as macular degeneration. This resource identifies cellular targets for studying disease mechanisms in organoids and for targeted repair in human retinas.

30 May 2022 in Nature Biotechnology
Verified
Journal Article
Open access
PDF file
VHVincent Hahaut
Vincent Hahaut
DPDinko Pavlinic
Dinko Pavlinic
WCWalter Carbone
Walter Carbone
SSSven Schuierer
Sven Schuierer
PBPierre Balmer
Pierre Balmer
SPSimone Picelli
Simone Picelli
We present FLASH-seq (FS), a full-length single-cell RNA sequencing (scRNA-seq) method with increased sensitivity and reduced hands-on time compared to Smart-seq3. The entire FS protocol can be performed in ~4.5 hours, is simple to automate and can be easily miniaturized to decrease resource consumption. The FS protocol can also use unique molecular identifiers (UMIs) for molecule counting while displaying reduced strand-invasion artifacts. FS will be especially useful for characterizing gene expression at high resolution across multiple samples.

5 June 2017 in BMC Genomics
Verified
Journal Article
Open access
PDF file
SSSven Schuierer
Sven Schuierer
WCWalter Carbone
Walter Carbone
JKJudith Knehr
Judith Knehr
VPVirginie Petitjean
Virginie Petitjean
AFAnita Fernandez
Anita Fernandez
GRGuglielmo Roma
Guglielmo Roma
RNA-sequencing (RNA-seq) has emerged as one of the most sensitive tool for gene expression analysis. Among the library preparation methods available, the standard poly(A) + enrichment provides a comprehensive, detailed, and accurate view of polyadenylated RNAs. However, on samples of suboptimal quality ribosomal RNA depletion and exon capture methods have recently been reported as better alternatives. We compared for the first time three commercial Illumina library preparation kits (TruSeq Stranded mRNA, TruSeq Ribo-Zero rRNA Removal, and TruSeq RNA Access) as representatives of these three different approaches using well-established human reference RNA samples from the MAQC/SEQC consortium on a wide range of input amounts (from 100 ng down to 1 ng) and degradation levels (intact, degraded, and highly degraded). We assessed the accuracy of the generated expression values by comparison to gold standard TaqMan qPCR measurements and gained unprecedented insight into the limits of applicability in terms of input quantity and sample quality of each protocol. We found that each protocol generates highly reproducible results (R 2 > 0.92) on intact RNA samples down to input amounts of 10 ng. For degraded RNA samples, Ribo-Zero showed clear performance advantages over the other two protocols as it generated more accurate and better reproducible gene expression results even at very low input amounts such as 1 ng and 2 ng. For highly degraded RNA samples, RNA Access performed best generating reliable data down to 5 ng input. We found that the ribosomal RNA depletion protocol from Illumina works very well at amounts far below recommendation and over a good range of intact and degraded material. We also infer that the exome-capture protocol (RNA Access, Illumina) performs better than other methods on highly degraded and low amount samples.

9 December 2019 in Nature Chemical Biology
Verified
Journal Article
Closed access
PDF file
NRNathan T. Ross
Nathan T. Ross
FLFelix Lohmann
Felix Lohmann
SCSeth Carbonneau
Seth Carbonneau
AFAleem Fazal
Aleem Fazal
WWWilhelm A. Weihofen
Wilhelm A. Weihofen
RBRohan E. J. Beckwith
Rohan E. J. Beckwith

1 October 2021 in Cell Stem Cell
Verified
Journal Article
Closed access
TSTianliang Sun
Tianliang Sun
SAStefano Annunziato
Stefano Annunziato
SBSebastian Bergling
Sebastian Bergling
CSCaibin Sheng
Caibin Sheng
VOVanessa Orsini
Vanessa Orsini
JTJan S. Tchorz
Jan S. Tchorz

17 July 2019 in Genome Biology
Verified
Journal Article
Open access
PDF file
RWRebekka Wegmann
Rebekka Wegmann
MNMarilisa Neri
Marilisa Neri
SSSven Schuierer
Sven Schuierer
BBBilada Bilican
Bilada Bilican
HHHuyen Hartkopf
Huyen Hartkopf
CKCaroline Gubser Keller
Caroline Gubser Keller
We develop CellSIUS (Cell Subtype Identification from Upregulated gene Sets) to fill a methodology gap for rare cell population identification for scRNA-seq data. CellSIUS outperforms existing algorithms for specificity and selectivity for rare cell types and their transcriptomic signature identification in synthetic and complex biological data. Characterization of a human pluripotent cell differentiation protocol recapitulating deep-layer corticogenesis using CellSIUS reveals unrecognized complexity in human stem cell-derived cellular populations. CellSIUS enables identification of novel rare cell populations and their signature genes providing the means to study those populations in vitro in light of their role in health and disease.