Literature DB >> 27275414

Combined sequencing of mRNA and DNA from human embryonic stem cells.

Florian Mertes1, Heiner Kuhl2, Wasco Wruck3, Hans Lehrach1, James Adjaye3.   

Abstract

Combined transcriptome and whole genome sequencing of the same ultra-low input sample down to single cells is a rapidly evolving approach for the analysis of rare cells. Besides stem cells, rare cells originating from tissues like tumor or biopsies, circulating tumor cells and cells from early embryonic development are under investigation. Herein we describe a universal method applicable for the analysis of minute amounts of sample material (150 to 200 cells) derived from sub-colony structures from human embryonic stem cells. The protocol comprises the combined isolation and separate amplification of poly(A) mRNA and whole genome DNA followed by next generation sequencing. Here we present a detailed description of the method developed and an overview of the results obtained for RNA and whole genome sequencing of human embryonic stem cells, sequencing data is available in the Gene Expression Omnibus (GEO) database under accession number GSE69471.

Entities:  

Keywords:  Embryonic stem cells; Next generation sequencing; RNA and whole-genome sequencing; Single cell; Ultra-low input sequencing

Year:  2016        PMID: 27275414      PMCID: PMC4880790          DOI: 10.1016/j.gdata.2016.04.014

Source DB:  PubMed          Journal:  Genom Data        ISSN: 2213-5960


Direct link to deposited data

http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE69471.

Experimental design, materials and methods

For RNA and DNA extraction, 150 to 200 cells were collected from undifferentiated colonies by mechanical fragmentation using a StemProEZPassage Disposable Stem Cell Passaging Tool (Invitrogen, cat# 23181-010). For amplified cDNA, a customized version of the μMACS SuperAmp Kit (Miltenyi Biotec) and for WGA DNA the REPLI-g Midi Kit (Qiagen) was used. An overview of the combined processing of RNA and DNA is depicted in Fig. 1.
Fig. 1

Workflow for combined isolation and amplification of mRNA and whole-genome DNA derived from sample material. Adapted from Mertes et al. [1], BMC Genomics, CC BY 4.0.

Amplified cDNA

Oligo-dT magnetic micro beads were applied to the lysed cell suspension for mRNA binding and transferred to low volume flow-through columns located in a magnetic field. On column cDNA synthesis was performed by applying 20 μL of reaction mixture (2 μL 10 × Reverse Transcriptase Buffer (Ambion), 0.5 mM dNTPs, 1 μg T4 Gene 32 Protein (NEB), 400 U M-MLV Reverse Transcriptase (Enzymatics), 20 U RNase Inhibitor (Ambion)) at 42 °C for 60 min. The cDNA together with magnetic beads was collected by centrifugation followed by 3′-tailing according to the manufacturer. PCR amplification was performed by the addition of 76.5 μL reaction mixture (14 μL 5 × Phusion HF buffer (Finnzymes), 0.5 mM dNTPs, 60 μL resuspended μMACS SuperAmp PCR mix, 2 U PhusionTaq (Finnzymes)) with the following cycling conditions: 78 °C for 30 s, 95 °C for 1 min, [98 °C for 3 s, 64 °C for 30 s, 72 °C for 2 min] × 40 cycles, 72 °C for 5 min.

Whole genome amplified DNA

Genomic DNA was retained from the eluate of the first wash step of the amplified cDNA procedure. DNA was ethanol precipitated by the addition of 0.1 volume of 3 M sodium acetate solution and 5 μg glycogen (Ambion), the precipitated pellet was resuspended in 10 μL of Elution Buffer (Qiagen). WGA was performed for 16 h at 30 °C according to the manufacturer.

NGS library preparation

Multiplex libraries with and insert size range of 150–300 base pairs were prepared according to the Illumina TruSeq DNA Sample Preparation Guide. Sample were pooled with a ratio of 3:1:1 (wgaDNA:mRNA1:mRNA2) for cluster generation. Paired-end sequencing with 100 base pairs was performed on a single lane of an Illumina HiSeq 2000 instrument.

Data analysis

RNA-seq and genomic data was mapped to the human genome with identical parameters by Tophat and bowtie respectively. Picard was used to estimate duplicate read counts. Sequencing coverage was calculated via IGVtools from (exon) aligned BAM files with transcript window size of 25 bp for RNA-seq and 10,000 bp for genome sequencing. Individual transcript coverage calculations were based on ENSEMBL V74 with exon unions of human genes for plus and minus strand separately. Transcript coverage was calculated for transcript size intervals of 0–1 kb, 1–2 kb, 2–3 kb, 3–4 kb, 4–5 kb and 5–15 kb based on 40 equally sized bins for each transcript. Results are summarized in Fig. 2.
Fig. 2

RNA-seq and whole genome sequencing coverage. (A) Read coverage across transcript length separated by overall transcript length ranges in base pairs (kb) from below 1 kb and up to 15 kb. (B) Read coverage of genomic DNA for individual chromosomes shown as Manhattan plot. Adapted from Mertes et al. [1], BMC Genomics, CC BY 4.0.

Discussion

We describe here a data set for the combined analysis of transcriptome and genome sequencing data derived from minute amounts of human embryonic stem cells. With the presented method we could show, that the preparation of material in the sub-colony range can be analyzed on the RNA and DNA level in a single approach. The results show that the method is robust as well as sensitive. A detailed discussion of the data presented, can be found in the research article “Combined ultra-low input mRNA and whole-genome sequencing of human embryonic stem cells” [1]. The sequencing data is available in the Gene Expression Omnibus (GEO) database under accession number GSE69471.
Specifications
Organism/cell line/tissueHuman embryonic stem cells (line H1)
SexMale
Sequencer or array typeIllumina HiSeq 2000
Data formatRaw
Experimental factorsStandard cell culture
Experimental featuresCombined DNA and RNA extraction from 150–200 cells, conversion to amplified cDNA and WGA-DNA, paired end sequencing
ConsentNA
Sample source locationWiCell Research Institute, Madison, WI, United States
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1.  Combined ultra-low input mRNA and whole-genome sequencing of human embryonic stem cells.

Authors:  Florian Mertes; Björn Lichtner; Heiner Kuhl; Mirjam Blattner; Jörg Otte; Wasco Wruck; Bernd Timmermann; Hans Lehrach; James Adjaye
Journal:  BMC Genomics       Date:  2015-11-12       Impact factor: 3.969

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