Nanopore Long-Read RNAseq Reveals Widespread Transcriptional Variation Among the Surface Receptors of Individual B cells

Understanding gene regulation and function requires a genome-wide method capable of capturing both gene expression levels and isoform diversity at the single cell level. Short-read RNAseq, while the current standard for gene expression quantification, is limited in its ability to resolve complex isoforms because it fails to sequence full-length cDNA copies of RNA molecules. Here, we investigated whether RNAseq using the long-read single-molecule Oxford Nanopore MinION sequencing technology (ONT RNAseq) would be able to identify and quantify complex isoforms without sacrificing accurate gene expression quantification. After successfully benchmarking our experimental and computational approaches on a mixture of synthetic transcripts, we analyzed individual murine B1a cells using a new cellular indexing strategy. Using the Mandalorion analysis pipeline we developed, we identified thousands of unannotated transcription start and end sites, as well as hundreds of alternative splicing events in these B1a cells. We also identified hundreds of genes expressed across B1a cells that displayed multiple complex isoforms, including several B cell specific surface receptors and the antibody heavy chain (IGH) locus. Our results show that not only can we identify complex isoforms, but also quantify their expression, at the single cell level.

[1]  James J Collins,et al.  Microbial Environments Confound Antibiotic Efficacy Antibiotics Induce Metabolic Stress , 2022 .

[2]  G. Nolan,et al.  Mapping normal and cancer cell signalling networks: towards single-cell proteomics , 2006, Nature Reviews Cancer.

[3]  Tom H. Pringle,et al.  The human genome browser at UCSC. , 2002, Genome research.

[4]  Cesare Furlanello,et al.  A promoter-level mammalian expression atlas , 2015 .

[5]  Ning Ma,et al.  IgBLAST: an immunoglobulin variable domain sequence analysis tool , 2013, Nucleic Acids Res..

[6]  Alvin T. Liem,et al.  Bacterial and viral identification and differentiation by amplicon sequencing on the MinION nanopore sequencer , 2015, GigaScience.

[7]  Rona S. Gertner,et al.  Single-cell transcriptomics reveals bimodality in expression and splicing in immune cells , 2013, Nature.

[8]  John F. Mulley,et al.  Assessing the utility of the Oxford Nanopore MinION for snake venom gland cDNA sequencing , 2015, PeerJ.

[9]  Burkhard Morgenstern,et al.  AUGUSTUS: a web server for gene finding in eukaryotes , 2004, Nucleic Acids Res..

[10]  David Haussler,et al.  Transcriptome and Genome Conservation of Alternative Splicing Events in Humans and Mice , 2003, Pacific Symposium on Biocomputing.

[11]  F. Tang,et al.  Development and applications of single-cell transcriptome analysis , 2011, Nature Methods.

[12]  Scott A. Rifkin,et al.  Imaging individual mRNA molecules using multiple singly labeled probes , 2008, Nature Methods.

[13]  Tanneguy Redarce,et al.  Automatic Lip-Contour Extraction and Mouth-Structure Segmentation in Images , 2011, Computing in Science & Engineering.

[14]  D. Cooper,et al.  The mutational spectrum of single base-pair substitutions in mRNA splice junctions of human genes: Causes and consequences , 1992, Human Genetics.

[15]  Christopher J. Lee,et al.  Multiple sequence alignment using partial order graphs , 2002, Bioinform..

[16]  E. Forsberg,et al.  ROBO4-Mediated Vascular Integrity Regulates the Directionality of Hematopoietic Stem Cell Trafficking , 2015, Stem cell reports.

[17]  Travis E. Oliphant,et al.  Python for Scientific Computing , 2007, Computing in Science & Engineering.

[18]  M. Schatz,et al.  Algorithms Gage: a Critical Evaluation of Genome Assemblies and Assembly Material Supplemental , 2008 .

[19]  John D. Hunter,et al.  Matplotlib: A 2D Graphics Environment , 2007, Computing in Science & Engineering.

[20]  David Bryder,et al.  Transcription factor profiling in individual hematopoietic progenitors by digital RT-PCR , 2006, Proceedings of the National Academy of Sciences.

[21]  Åsa K. Björklund,et al.  Smart-seq2 for sensitive full-length transcriptome profiling in single cells , 2013, Nature Methods.

[22]  Christopher J. Lee,et al.  A genomic view of alternative splicing , 2002, Nature Genetics.

[23]  Thomas C. Südhof,et al.  Cartography of neurexin alternative splicing mapped by single-molecule long-read mRNA sequencing , 2014, Proceedings of the National Academy of Sciences.

[24]  Evan Z. Macosko,et al.  Highly Parallel Genome-wide Expression Profiling of Individual Cells Using Nanoliter Droplets , 2015, Cell.

[25]  Björn Usadel,et al.  Trimmomatic: a flexible trimmer for Illumina sequence data , 2014, Bioinform..

[26]  Skipper Seabold,et al.  Statsmodels: Econometric and Statistical Modeling with Python , 2010, SciPy.

[27]  Aaron R. Quinlan,et al.  Poretools: a toolkit for analyzing nanopore sequence data , 2014, bioRxiv.

[28]  N. Friedman,et al.  Trinity: reconstructing a full-length transcriptome without a genome from RNA-Seq data , 2011, Nature Biotechnology.

[29]  Eric T. Wang,et al.  Alternative Isoform Regulation in Human Tissue Transcriptomes , 2008, Nature.

[30]  L. Penland,et al.  Novel Exons and Splice Variants in the Human Antibody Heavy Chain Identified by Single Cell and Single Molecule Sequencing , 2015, PloS one.

[31]  Steven R. Head,et al.  Technical Variations in Low-Input RNA-seq Methodologies , 2014, Scientific Reports.

[32]  C. Larabell,et al.  Progressive Chromatin Condensation and H3K9 Methylation Regulate the Differentiation of Embryonic and Hematopoietic Stem Cells , 2015, Stem cell reports.

[33]  L. Hammarström,et al.  In vivo expression of human immunoglobulin germ‐line mRNA in normal and in immunodeficient individuals , 1994, Clinical and experimental immunology.

[34]  S. Stamm,et al.  Function of Alternative Splicing , 2004 .

[35]  Chandra Sekhar Pedamallu,et al.  A Pan-Cancer Analysis of Transcriptome Changes Associated with Somatic Mutations in U2AF1 Reveals Commonly Altered Splicing Events , 2014, PloS one.

[36]  W. J. Kent,et al.  BLAT--the BLAST-like alignment tool. , 2002, Genome research.

[37]  Donald Sharon,et al.  A single-molecule long-read survey of the human transcriptome , 2013, Nature Biotechnology.

[38]  Benedict Paten,et al.  Improved data analysis for the MinION nanopore sequencer , 2015, Nature Methods.

[39]  F S Fay,et al.  Visualization of single RNA transcripts in situ. , 1998, Science.

[40]  Yin Hu,et al.  Robust detection of alternative splicing in a population of single cells , 2016, Nucleic acids research.

[41]  Thomas R. Gingeras,et al.  STAR: ultrafast universal RNA-seq aligner , 2013, Bioinform..

[42]  C. Ponting,et al.  G&T-seq: parallel sequencing of single-cell genomes and transcriptomes , 2015, Nature Methods.

[43]  Jonathan M. Mudge,et al.  Creating reference gene annotation for the mouse C57BL6/J genome assembly , 2015, Mammalian Genome.

[44]  Gaël Varoquaux,et al.  The NumPy Array: A Structure for Efficient Numerical Computation , 2011, Computing in Science & Engineering.

[45]  Eric Jones,et al.  SciPy: Open Source Scientific Tools for Python , 2001 .

[46]  E. Forsberg,et al.  A Transient Developmental Hematopoietic Stem Cell Gives Rise to Innate-like B and T Cells. , 2016, Cell stem cell.

[47]  E. Forsberg,et al.  To B1a or not to B1a: do hematopoietic stem cells contribute to tissue-resident immune cells? , 2016, Blood.

[48]  Åsa K. Björklund,et al.  Tn5 transposase and tagmentation procedures for massively scaled sequencing projects , 2014, Genome research.

[49]  B. Graveley,et al.  Determining exon connectivity in complex mRNAs by nanopore sequencing , 2015, Genome Biology.

[50]  Jiannis Ragoussis,et al.  Benchmarking of the Oxford Nanopore MinION sequencing for quantitative and qualitative assessment of cDNA populations , 2016, Scientific Reports.

[51]  T. Graf,et al.  Heterogeneity of embryonic and adult stem cells. , 2008, Cell stem cell.

[52]  B. Wold,et al.  Single-cell analysis of regulatory gene expression in quiescent and activated mouse skeletal muscle satellite cells. , 1997, Developmental biology.

[53]  Cole Trapnell,et al.  Transcript assembly and quantification by RNA-Seq reveals unannotated transcripts and isoform switching during cell differentiation. , 2010, Nature biotechnology.

[54]  E. Forsberg,et al.  Flk2/Flt3 promotes both myeloid and lymphoid development by expanding non-self-renewing multipotent hematopoietic progenitor cells. , 2014, Experimental hematology.

[55]  T. Blauwkamp,et al.  Comprehensive transcriptome analysis using synthetic long-read sequencing reveals molecular co-association of distant splicing events , 2015, Nature Biotechnology.

[56]  Gioele La Manno,et al.  Quantitative single-cell RNA-seq with unique molecular identifiers , 2013, Nature Methods.

[57]  N. Neff,et al.  Reconstructing lineage hierarchies of the distal lung epithelium using single cell RNA-seq , 2014, Nature.

[58]  N. Neff,et al.  Quantitative assessment of single-cell RNA-sequencing methods , 2013, Nature Methods.