PanglaoDB: a web server for exploration of mouse and human single-cell RNA sequencing data
Single-cell RNA sequencing is an increasingly used method to measure gene expression at the single cell level and build cell-type atlases of tissues. Hundreds of single-cell sequencing datasets have already been published. However, studies are frequently deposited as raw data, a format difficult to...
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Published in | Database : the journal of biological databases and curation Vol. 2019 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
England
Oxford University Press
2019
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Subjects | |
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Abstract | Single-cell RNA sequencing is an increasingly used method to measure gene expression at the single cell level and build cell-type atlases of tissues. Hundreds of single-cell sequencing datasets have already been published. However, studies are frequently deposited as raw data, a format difficult to access for biological researchers due to the need for data processing using complex computational pipelines. We have implemented an online database, PanglaoDB, accessible through a user-friendly interface that can be used to explore published mouse and human single cell RNA sequencing studies. PanglaoDB contains pre-processed and pre-computed analyses from more than 1054 single-cell experiments covering most major single cell platforms and protocols, based on more than 4 million cells from a wide range of tissues and organs. The online interface allows users to query and explore cell types, genetic pathways and regulatory networks. In addition, we have established a community-curated cell-type marker compendium, containing more than 6000 gene-cell-type associations, as a resource for automatic annotation of cell types. |
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AbstractList | Single-cell RNA sequencing is an increasingly used method to measure gene expression at the single cell level and build cell-type atlases of tissues. Hundreds of single-cell sequencing datasets have already been published. However, studies are frequently deposited as raw data, a format difficult to access for biological researchers due to the need for data processing using complex computational pipelines. We have implemented an online database, PanglaoDB, accessible through a user-friendly interface that can be used to explore published mouse and human single cell RNA sequencing studies. PanglaoDB contains pre-processed and pre-computed analyses from more than 1054 single-cell experiments covering most major single cell platforms and protocols, based on more than 4 million cells from a wide range of tissues and organs. The online interface allows users to query and explore cell types, genetic pathways and regulatory networks. In addition, we have established a community-curated cell-type marker compendium, containing more than 6000 gene-cell-type associations, as a resource for automatic annotation of cell types. |
Author | Gan, Li-Ming Björkegren, Johan L M Franzén, Oscar |
AuthorAffiliation | 1 Integrated Cardio Metabolic Centre (ICMC), Department of Medicine, Karolinska Institutet, Novum SE Huddinge, Sweden 2 Cardiovascular, Renal and Metabolism Translational Medicines Unit, Early Clinical Development, IMED Biotech Unit, AstraZeneca, Pepparedsleden, Mölndal, Sweden 3 Icahn Institute for Genomics and Multiscale Biology, Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY, USA |
AuthorAffiliation_xml | – name: 2 Cardiovascular, Renal and Metabolism Translational Medicines Unit, Early Clinical Development, IMED Biotech Unit, AstraZeneca, Pepparedsleden, Mölndal, Sweden – name: 1 Integrated Cardio Metabolic Centre (ICMC), Department of Medicine, Karolinska Institutet, Novum SE Huddinge, Sweden – name: 3 Icahn Institute for Genomics and Multiscale Biology, Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY, USA |
Author_xml | – sequence: 1 givenname: Oscar surname: Franzén fullname: Franzén, Oscar organization: Integrated Cardio Metabolic Centre (ICMC), Department of Medicine, Karolinska Institutet, Novum SE Huddinge, Sweden – sequence: 2 givenname: Li-Ming surname: Gan fullname: Gan, Li-Ming organization: Cardiovascular, Renal and Metabolism Translational Medicines Unit, Early Clinical Development, IMED Biotech Unit, AstraZeneca, Pepparedsleden, Mölndal, Sweden – sequence: 3 givenname: Johan L M surname: Björkegren fullname: Björkegren, Johan L M organization: Icahn Institute for Genomics and Multiscale Biology, Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY, USA |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/30951143$$D View this record in MEDLINE/PubMed http://kipublications.ki.se/Default.aspx?queryparsed=id:141080532$$DView record from Swedish Publication Index |
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Cites_doi | 10.1371/journal.pone.0012776 10.1186/1471-2105-9-559 10.1016/j.cell.2014.08.009 10.1073/pnas.1104182108 10.1186/s12864-017-3911-3 10.1186/gb-2009-10-3-r29 10.1101/gr.104471.109 10.1038/nmeth.4463 10.1093/nar/gks1145 10.1186/1471-2105-13-136 10.1093/bioinformatics/bty916 10.1093/nar/gkx949 10.1093/nar/gkx1126 10.1093/nar/gkn660 10.1016/j.cels.2015.12.004 10.3390/genes8120368 10.1016/j.molcel.2015.04.005 10.1093/nar/gkt214 10.1038/sdata.2017.112 10.1093/bioinformatics/btp352 10.1093/bioinformatics/btr064 10.1038/nmeth.3317 10.1016/j.cell.2016.12.016 10.1038/nbt.4096 10.1093/nar/gky900 10.1038/nmeth.2772 10.1186/s13059-016-0927-y 10.1371/journal.pcbi.1003731 10.1093/nar/gkq1019 10.1093/nar/30.1.207 10.1101/gr.209601.116 10.1111/j.2517-6161.1995.tb02031.x 10.1093/nar/gkv1249 10.1016/j.cell.2015.05.002 10.1038/nprot.2014.006 10.1101/gr.135350.111 10.1093/bioinformatics/btv098 |
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References | Gotea ( key 2019040506400116400_ref37) 2010; 20 Scholer-Dahirel ( key 2019040506400116400_ref21) 2011; 108 Grant ( key 2019040506400116400_ref35) 2011; 27 Lun ( key 2019040506400116400_ref39) 2016; 5 Chronis ( key 2019040506400116400_ref16) 2017; 168 Huynh-Thu ( key 2019040506400116400_ref26) 2010; 5 Kulakovskiy ( key 2019040506400116400_ref30) 2016; 44 Smith ( key 2019040506400116400_ref13) 2017; 27 Butler ( key 2019040506400116400_ref17) 2018; 36 Noguchi ( key 2019040506400116400_ref34) 2017; 4 Macosko ( key 2019040506400116400_ref4) 2015; 161 Picelli ( key 2019040506400116400_ref5) 2014; 9 Cao ( key 2019040506400116400_ref6) 2017; 8 Edgar ( key 2019040506400116400_ref8) 2002; 30 Leinonen ( key 2019040506400116400_ref9) 2011; 39 Li ( key 2019040506400116400_ref10) 2009; 25 Kolodziejczyk ( key 2019040506400116400_ref1) 2015; 58 Tarca ( key 2019040506400116400_ref20) 2012; 13 van der Maaten ( key 2019040506400116400_ref18) 2008; 9 Abugessaisa ( key 2019040506400116400_ref7) 2018; 46 Benjamini ( key 2019040506400116400_ref22) 1995; 57 McInnes ( key 2019040506400116400_ref19) 2018 Newburger ( key 2019040506400116400_ref32) 2009; 37 Liao ( key 2019040506400116400_ref12) 2013; 41 Tarasov ( key 2019040506400116400_ref11) 2015; 31 Liberzon ( key 2019040506400116400_ref38) 2015; 1 Zhang ( key 2019040506400116400_ref41) 2019; 47 Aibar ( key 2019040506400116400_ref23) 2017; 14 Fulton ( key 2019040506400116400_ref28) 2009; 10 Khan ( key 2019040506400116400_ref29) 2018; 46 Langfelder ( key 2019040506400116400_ref27) 2008; 9 Pachkov ( key 2019040506400116400_ref31) 2013; 41 Moerman ( key 2019040506400116400_ref25) 2018 Kim ( key 2019040506400116400_ref14) 2015; 12 Islam ( key 2019040506400116400_ref2) 2014; 11 Babbi ( key 2019040506400116400_ref40) 2017; 18 Harrow ( key 2019040506400116400_ref15) 2012; 22 Janky ( key 2019040506400116400_ref24) 2014; 10 Bacher ( key 2019040506400116400_ref3) 2016; 17 Weirauch ( key 2019040506400116400_ref33) 2014; 158 Jayaram ( key 2019040506400116400_ref36) 2016 |
References_xml | – volume: 5 year: 2010 ident: key 2019040506400116400_ref26 article-title: Inferring regulatory networks from expression data using tree-based methods publication-title: PLoS ONE doi: 10.1371/journal.pone.0012776 contributor: fullname: Huynh-Thu – volume: 9 start-page: 559 year: 2008 ident: key 2019040506400116400_ref27 article-title: WGCNA: an R package for weighted correlation network analysis publication-title: BMC Bioinformatics doi: 10.1186/1471-2105-9-559 contributor: fullname: Langfelder – volume: 158 start-page: 1431 year: 2014 ident: key 2019040506400116400_ref33 article-title: Determination and inference of eukaryotic transcription factor sequence specificity publication-title: Cell doi: 10.1016/j.cell.2014.08.009 contributor: fullname: Weirauch – volume: 108 start-page: 17135 year: 2011 ident: key 2019040506400116400_ref21 article-title: Maintenance of adenomatous polyposis coli (APC)-mutant colorectal cancer is dependent on Wnt/beta-catenin signaling publication-title: Proc. Natl. Acad. Sci. U. S. A. doi: 10.1073/pnas.1104182108 contributor: fullname: Scholer-Dahirel – volume: 18 start-page: 554 year: 2017 ident: key 2019040506400116400_ref40 article-title: eDGAR: a database of disease-gene associations with annotated relationships among genes publication-title: BMC Genomics doi: 10.1186/s12864-017-3911-3 contributor: fullname: Babbi – volume: 10 start-page: R29 year: 2009 ident: key 2019040506400116400_ref28 article-title: TFCat: the curated catalog of mouse and human transcription factors publication-title: Genome Biol. doi: 10.1186/gb-2009-10-3-r29 contributor: fullname: Fulton – volume: 20 start-page: 565 year: 2010 ident: key 2019040506400116400_ref37 article-title: Homotypic clusters of transcription factor binding sites are a key component of human promoters and enhancers publication-title: Genome Res. doi: 10.1101/gr.104471.109 contributor: fullname: Gotea – volume: 14 start-page: 1083 year: 2017 ident: key 2019040506400116400_ref23 article-title: SCENIC: single-cell regulatory network inference and clustering publication-title: Nat. Methods doi: 10.1038/nmeth.4463 contributor: fullname: Aibar – volume: 41 start-page: D214 year: 2013 ident: key 2019040506400116400_ref31 article-title: SwissRegulon, a database of genome-wide annotations of regulatory sites: recent updates publication-title: Nucleic Acids Res. doi: 10.1093/nar/gks1145 contributor: fullname: Pachkov – volume: 13 start-page: 136 year: 2012 ident: key 2019040506400116400_ref20 article-title: Down-weighting overlapping genes improves gene set analysis publication-title: BMC Bioinformatics doi: 10.1186/1471-2105-13-136 contributor: fullname: Tarca – year: 2018 ident: key 2019040506400116400_ref25 article-title: GRNBoost2 and Arboreto: efficient and scalable inference of gene regulatory networks publication-title: Bioinformatics doi: 10.1093/bioinformatics/bty916 contributor: fullname: Moerman – start-page: 1298 year: 2016 ident: key 2019040506400116400_ref36 article-title: Evaluating tools for transcription factor binding site prediction publication-title: BMC Bioinformatics contributor: fullname: Jayaram – volume: 46 start-page: D781 year: 2018 ident: key 2019040506400116400_ref7 article-title: SCPortalen: human and mouse single-cell centric database publication-title: Nucleic Acids Res. doi: 10.1093/nar/gkx949 contributor: fullname: Abugessaisa – volume: 46 start-page: D260 year: 2018 ident: key 2019040506400116400_ref29 article-title: JASPAR 2018: update of the open-access database of transcription factor binding profiles and its web framework publication-title: Nucleic Acids Res. doi: 10.1093/nar/gkx1126 contributor: fullname: Khan – volume: 37 start-page: D77 year: 2009 ident: key 2019040506400116400_ref32 article-title: UniPROBE: an online database of protein binding microarray data on protein-DNA interactions publication-title: Nucleic Acids Res. doi: 10.1093/nar/gkn660 contributor: fullname: Newburger – volume: 1 start-page: 417 year: 2015 ident: key 2019040506400116400_ref38 article-title: The molecular signatures database (MSigDB) hallmark gene set collection publication-title: Cell Syst. doi: 10.1016/j.cels.2015.12.004 contributor: fullname: Liberzon – volume: 8 start-page: 368 year: 2017 ident: key 2019040506400116400_ref6 article-title: scRNASeqDB: a database for RNA-Seq based gene expression profiles in human single cells publication-title: Genes doi: 10.3390/genes8120368 contributor: fullname: Cao – volume: 58 start-page: 610 year: 2015 ident: key 2019040506400116400_ref1 article-title: The technology and biology of single-cell RNA sequencing publication-title: Mol. Cell. doi: 10.1016/j.molcel.2015.04.005 contributor: fullname: Kolodziejczyk – volume: 41 start-page: e108 year: 2013 ident: key 2019040506400116400_ref12 article-title: The subread aligner: fast, accurate and scalable read mapping by seed-and-vote publication-title: Nucleic Acids Res. doi: 10.1093/nar/gkt214 contributor: fullname: Liao – volume: 4 start-page: 170112 year: 2017 ident: key 2019040506400116400_ref34 article-title: FANTOM5 CAGE profiles of human and mouse samples publication-title: Sci. Data. doi: 10.1038/sdata.2017.112 contributor: fullname: Noguchi – volume: 25 start-page: 2078 year: 2009 ident: key 2019040506400116400_ref10 article-title: The sequence alignment/map format and SAMtools publication-title: Bioinformatics doi: 10.1093/bioinformatics/btp352 contributor: fullname: Li – volume: 27 start-page: 1017 year: 2011 ident: key 2019040506400116400_ref35 article-title: FIMO: scanning for occurrences of a given motif publication-title: Bioinformatics doi: 10.1093/bioinformatics/btr064 contributor: fullname: Grant – volume: 12 start-page: 357 year: 2015 ident: key 2019040506400116400_ref14 article-title: HISAT: a fast spliced aligner with low memory requirements publication-title: Nat. Methods doi: 10.1038/nmeth.3317 contributor: fullname: Kim – volume: 168 start-page: 442 year: 2017 ident: key 2019040506400116400_ref16 article-title: Cooperative binding of transcription factors orchestrates reprogramming publication-title: Cell doi: 10.1016/j.cell.2016.12.016 contributor: fullname: Chronis – year: 2018 ident: key 2019040506400116400_ref19 article-title: UMAP: uniform manifold approximation and projection for dimension reduction contributor: fullname: McInnes – volume: 36 start-page: 411 year: 2018 ident: key 2019040506400116400_ref17 article-title: Integrating single-cell transcriptomic data across different conditions, technologies, and species publication-title: Nat. Biotechnol. doi: 10.1038/nbt.4096 contributor: fullname: Butler – volume: 47 start-page: D721 year: 2019 ident: key 2019040506400116400_ref41 article-title: CellMarker: a manually curated resource of cell markers in human and mouse publication-title: Nucleic Acids Res. doi: 10.1093/nar/gky900 contributor: fullname: Zhang – volume: 11 start-page: 163 year: 2014 ident: key 2019040506400116400_ref2 article-title: Quantitative single-cell RNA-seq with unique molecular identifiers publication-title: Nat. Methods doi: 10.1038/nmeth.2772 contributor: fullname: Islam – volume: 17 start-page: 63 year: 2016 ident: key 2019040506400116400_ref3 article-title: Design and computational analysis of single-cell RNA-sequencing experiments publication-title: Genome Biol. doi: 10.1186/s13059-016-0927-y contributor: fullname: Bacher – volume: 10 start-page: e1003731 year: 2014 ident: key 2019040506400116400_ref24 article-title: iRegulon: from a gene list to a gene regulatory network using large motif and track collections publication-title: PLoS Comput. Biol. doi: 10.1371/journal.pcbi.1003731 contributor: fullname: Janky – volume: 39 start-page: D19 year: 2011 ident: key 2019040506400116400_ref9 article-title: The sequence read archive publication-title: Nucleic Acids Res. doi: 10.1093/nar/gkq1019 contributor: fullname: Leinonen – volume: 30 start-page: 207 year: 2002 ident: key 2019040506400116400_ref8 article-title: Gene expression omnibus: NCBI gene expression and hybridization array data repository publication-title: Nucleic Acids Res. doi: 10.1093/nar/30.1.207 contributor: fullname: Edgar – volume: 27 start-page: 491 year: 2017 ident: key 2019040506400116400_ref13 article-title: UMI-tools: modeling sequencing errors in unique molecular identifiers to improve quantification accuracy publication-title: Genome Res. doi: 10.1101/gr.209601.116 contributor: fullname: Smith – volume: 57 start-page: 289 year: 1995 ident: key 2019040506400116400_ref22 article-title: Controlling the false discovery rate: a practical and powerful approach to multiple testing publication-title: J. R. Stat. Soc. B. Methodol. doi: 10.1111/j.2517-6161.1995.tb02031.x contributor: fullname: Benjamini – volume: 44 start-page: D116 year: 2016 ident: key 2019040506400116400_ref30 article-title: HOCOMOCO: expansion and enhancement of the collection of transcription factor binding sites models publication-title: Nucleic Acids Res. doi: 10.1093/nar/gkv1249 contributor: fullname: Kulakovskiy – volume: 161 start-page: 1202 year: 2015 ident: key 2019040506400116400_ref4 article-title: Highly parallel genome-wide expression profiling of individual cells using Nanoliter droplets publication-title: Cell doi: 10.1016/j.cell.2015.05.002 contributor: fullname: Macosko – volume: 5 start-page: 2122 year: 2016 ident: key 2019040506400116400_ref39 article-title: A step-by-step workflow for low-level analysis of single-cell RNA-seq data with bioconductor publication-title: F1000Res contributor: fullname: Lun – volume: 9 start-page: 171 year: 2014 ident: key 2019040506400116400_ref5 article-title: Full-length RNA-seq from single cells using smart-seq2 publication-title: Nat. Protoc. doi: 10.1038/nprot.2014.006 contributor: fullname: Picelli – volume: 22 start-page: 1760 year: 2012 ident: key 2019040506400116400_ref15 article-title: GENCODE: the reference human genome annotation for the ENCODE project publication-title: Genome Res. doi: 10.1101/gr.135350.111 contributor: fullname: Harrow – volume: 9 start-page: 2579 year: 2008 ident: key 2019040506400116400_ref18 article-title: Visualizing data using t-SNE publication-title: J. Mach. Learn. Res. contributor: fullname: van der Maaten – volume: 31 start-page: 2032 year: 2015 ident: key 2019040506400116400_ref11 article-title: Sambamba: fast processing of NGS alignment formats publication-title: Bioinformatics doi: 10.1093/bioinformatics/btv098 contributor: fullname: Tarasov |
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