The authors thank Allison Groseth for critical reading of the manuscript. This work was financially supported by the German Federal Ministry of Food and Agriculture (BMEL) based on a decision of the Parliament of the Federal Republic of Germany through the Federal Office for Agriculture and Food (BLE).

Samples were collected following the Njala University Institutional Review Board (NUIRB) protocol no. IRB00008861/FWA00018924.
1. RNA Extraction from Blood Samples
<ol>
	<li>Collect 3 mL of whole blood from the species to be analyzed into a blood collection tube prefilled with 6 mL of DNA/RNA stabilizing reagent (see Table of Materials) and mix by inverting 5 times. Store the blood sample for up to one month at 4 &#176;C.</li>
	<li>Transfer the contents of the blood collection tube into a 50 mL collection tube, add 120 &#181;L of proteinase K, and mix by vortexing for 5 s. Incubate the sample for 30 min at room temperature.</li>
	<li>Add 9 mL of isopropanol to the mixture and vortex for 5 s.</li>
	<li>Place a reservoir onto an RNA purification spin column (see Table of Materials) and place the assembly onto a vacuum manifold (see Table of Materials). Add the sample mixture into the reservoir. Apply a vacuum until all liquid has passed through the column.</li>
	<li>Alternatively, if no vacuum manifold is available, the blood can be passed through the column in 700 &#181;L portions by repeated centrifugation for 30 s at 12,000 x g with the flow-through discarded between centrifugation steps. However, this will require approximately 26 centrifugation steps.</li>
	<li>Place the RNA purification spin column into a collection tube and add 400 &#181;L DNA/RNA prep buffer (see Table of Materials). Centrifuge at 12,000 x g for 30 s and discard the flow-through.</li>
	<li>Add 400 &#181;L of DNA/RNA wash buffer (see Table of Materials) to the column, centrifuge at 12,000 x g for 30 s and discard the flow-through.</li>
	<li>Mix 5 &#181;L of DNase I (1 U/&#181;L) (see Table of Materials) with 75 &#181;L of DNA digestion buffer (see Table of Materials) and add the mixture onto the column. Incubate for 15 min at room temperature.</li>
	<li>Add 400 &#181;L of DNA/RNA prep buffer to the column and centrifuge at 12,000 x g for 30 s. Discard the flow-through.</li>
	<li>Wash the column with 700 &#181;L of DNA/RNA wash buffer and centrifuge at 12,000 x g for 30 s. Discard the flow-through.</li>
	<li>Repeat step 1.9 with 400 &#181;L of DNA/RNA wash buffer and centrifuge at 12,000 x g for 2 min to remove all residual wash buffer and to dry the column. When removing the column from the collection tube, make sure not to wet the underside of the column with the buffer in the collection tube.</li>
	<li>Place the column into a new 1.5 mL microcentrifuge tube and add 70 &#181;L of nuclease-free water. Incubate for 1 min at room temperature and centrifuge for 30 s at 12,000 x g. Store the RNA at -80 &#176;C until further use (or use immediately).
	<ol>
		<li>OPTIONAL: To quantify the RNA, take an aliquot and determine the concentration using a UV spectrophotometer (see Table of Materials).</li>
	</ol>
	</li>
</ol>
2. Reverse Transcription of NPC1 mRNA into cDNA
<ol>
	<li>In a 0.2 mL reaction tube, add 8 &#181;L of template RNA (1 pg to 2.5 &#181;g of RNA) and 1 &#181;L each of 10x DNase buffer and DNase enzyme (see Table of Materials). Incubate at 37 &#176;C for 2 min. Subsequently, centrifuge the reaction briefly and place it on ice.</li>
	<li>Add 4 &#181;L of reverse transcriptase master mix (see Table of Materials) and 6 &#181;L of nuclease-free water to the reaction tube and mix gently. Incubate the reaction in a thermocycler for 10 min at 25 &#176;C (for primer annealing), followed by 10 min at 50 &#176;C (for reverse transcription of RNA). To inactivate the enzyme, incubate for 5 min at 85 &#176;C.</li>
	<li>Transfer cDNA to a new 1.5 mL microcentrifuge tube and store at -80 &#176;C until further use (or use immediately).</li>
</ol>
3. Amplification of the NPC1 Open Reading Frame
<ol>
	<li>Initial amplification step
	<ol>
		<li>Set up a touchdown PCR15,16 to amplify the NPC1 cDNA with Primer Set 1 (see Table 1), using a hot start high fidelity DNA polymerase (see Table of Materials) with the appropriate reaction buffer in a 50 &#181;L reaction volume with 1 &#181;L template. If possible, set up the reaction on ice or in a 4 &#176;C cool block.</li>
		<li>Incubate the reaction in a thermocycler with an initial denaturation step of 30 s at 98 &#176;C, followed by 10 cycles with denaturation at 98 &#176;C for 10 s, primer annealing for 20 s at 65 &#176;C, lowering the temperature by 0.5 &#176;C per cycle, and elongation for 1 min at 72 &#176;C. Subsequently, run an additional 20 cycles with 10 s at 98 &#176;C, 20 s at 60 &#176;C, and 1 min at 72 &#176;C, followed by a final elongation step of 5 min at 72 &#176;C.</li>
	</ol>
	</li>
	<li>PCR purification using magnetic beads
	<ol>
		<li>Transfer 50 &#181;L of PCR product into a 1.5 mL DNA-low binding reaction tube (see Table of Materials). Resuspend magnetic beads (see Table of Materials) thoroughly by vortexing and add 50 &#181;L beads to the PCR reaction. Mix well. Incubate the sample on a rotating mixer (see Table of Materials) for 5 min at room temperature (at 15 rpm).</li>
		<li>Briefly spin down the sample and place the 1.5 mL microcentrifuge tube on a magnetic rack (see Table of Materials) to pellet the magnetic beads. Wait until the supernatant has been completely clarified before continuing with the next step.</li>
		<li>Aspirate the supernatant without disturbing the bead pellet and discard.</li>
		<li>Pipette 200 &#181;L of 70% ethanol into the reaction tube and incubate for 30 s. Aspirate the ethanol without disturbing the pellet and discard. Repeat for a total of two washes. Make sure that no ethanol is left. It may be necessary to first aspirate with a larger pipette (e.g., 1000 &#181;L), and then to remove any remaining ethanol droplets with a smaller pipette (e.g., 10 &#181;L).</li>
		<li>Air-dry the pellet for 1 min at room temperature.</li>
		<li>Remove the reaction tube from the magnetic rack, resuspend the pellet in 30 &#181;L of nuclease-free water and incubate for 2 min at room temperature.</li>
		<li>Place the reaction tube back on the magnetic rack and wait until the beads are completely pelleted.</li>
		<li>Remove the supernatant without disturbing the pellet and transfer it to a new 1.5 mL reaction tube.</li>
	</ol>
	</li>
	<li>Addition of barcode adapters by nested PCR
	<ol>
		<li>Set up a 50 &#181;L touchdown PCR with hot start High-Fidelity DNA polymerase with 5x reaction buffer and Primer Set 2 (see Table 1). Primers in this set consist of a target sequence-specific region to allow binding of PCR products generated in step 3.2 (inside of the primer set 1 sequences), as well as an adapter sequence that is used as target in the subsequent barcoding PCR reaction (cf. section 4). If possible, set up the reaction on ice or in a 4 &#176;C cool block. Use 1 &#181;L of the purified PCR product prepared in section 3.2 as template.</li>
		<li>Incubate the reaction mix in a thermocycler using an initial denaturation step of 30 s at 98 &#176;C, followed by 10 cycles with denaturation at 98 &#176;C for 10 s, primer annealing for 20 s at 65 &#176;C, lowering the temperature by 0.5 &#176;C per cycle, and elongation for 1 min at 72 &#176;C. Subsequently, incubate the reaction for a further 30 cycles for 10 s at 98 &#176;C, 20 s at 71 &#176;C, and 1 min at 72 &#176;C, followed by a final elongation step of 5 min at 72 &#176;C.</li>
		<li>Clean up the PCR product using magnetic beads as described in section 3.2.</li>
	</ol>
	</li>
</ol>
4. Barcoding of NPC1 Amplicons
<ol>
	<li>For each PCR product generated in section 3, set up a barcoding PCR reaction in a 0.2 mL reaction tube using 50 &#181;L of Taq DNA polymerase 2x master mix (see Table of Materials), 2 &#181;L of one of the barcode primers from a PCR barcoding kit (see Table of Materials and Table 2), and 1 &#181;L of purified PCR product from step 3.3.2 as template. Add 47 &#181;L of nuclease free water to obtain a final volume of 100 &#181;L.</li>
	<li>Incubate the reaction in a thermocycler at 95 &#176;C for 3 min as an initial denaturation. Subsequently, run 15 cycles for 15 s at 95 &#176;C, 15 s at 62 &#176;C, and 1.5 min at 65 &#176;C. As a final elongation, incubate the reaction at 65 &#176;C for 5 min.</li>
	<li>Purify the PCR product as described under 3.2, but use 100 &#181;L of magnetic beads and elute in 30 &#181;L of nuclease-free water.</li>
	<li>If possible, quantify the sample using a UV spectrophotometer.</li>
</ol>
5. Library Preparation
<ol>
	<li>Combine an equal amount of barcoded DNA from each sample for a total of 1 &#181;g of DNA in a volume of 45 &#181;L (if necessary, add nuclease-free water) in a 0.2 mL reaction tube. If no UV spectrophotometer is available, use equal volumes of each sample. For dA-tailing, add 7 &#181;L of End-prep reaction buffer (see Table of Materials), 3 &#181;L of End-prep enzyme mix (see Table of Materials), and 5 &#181;L of nuclease-free water. Mix gently by flicking the tube.</li>
	<li>Incubate the reaction for 5 min at 20 &#176;C, followed by 5 min at 65 &#176;C in a thermocycler.</li>
	<li>Purify the reaction product as described in section 3.2, but use 60 &#181;L of magnetic beads and elute in 25 &#181;L of nuclease-free water.</li>
	<li>OPTIONAL: Take 1 &#181;L to quantify the concentration of the sample using a UV spectrophotometer. The total amount should be more than 700 ng.</li>
	<li>Combine 22.5 &#181;L of purified DNA from step 5.3 with 2.5 &#181;L of 1D2 adapter (see Table of Materials) and 25 &#181;L of blunt/TA ligase master mix (see Table of Materials) in a new 1.5 mL DNA-low binding reaction tube, mix gently by flicking, and briefly spin down. Incubate for 10 min at room temperature.</li>
	<li>Purify the reaction product as described in section 3.2, but use 20 &#181;L of magnetic beads, increase the incubation time for DNA binding to 10 min, perform two wash steps with 1 mL of ethanol each, and elute in 46 &#181;L of nuclease-free water.</li>
	<li>Combine 45 &#181;L of the reaction product from step 5.6 with 5 &#181;L of barcode adapter mix (see Table of Materials) and 50 &#181;L of blunt/TA ligase master mix in a DNA-low binding reaction tube. Mix gently by flicking and incubate for 10 min at room temperature.</li>
	<li>Purify the reaction product as described in section 3.2, but use 40 &#181;L of magnetic beads, do two wash steps with 140 &#181;L of ABB buffer (see Table of Materials) instead of ethanol, resuspend the beads by flicking and pellet on a magnetic rack. Elute in 15 &#181;L of elution buffer (see Table of Materials). Increase the incubation times for the initial binding of DNA to the beads as well as for the elution step to 10 min. Store the resulting product on ice or at 4 &#176;C until use.</li>
</ol>
6. Quality Check of Flow Cell
<ol>
	<li>Perform a quality check on the flow cell before use. To this end, connect the sequencing device to the host computer and open the software.</li>
	<li>Insert a flow cell (see Table of Materials) into the sequencing device and choose the flow cell type from the selector box and confirm by clicking Available.</li>
	<li>Click Check flow cell in the bottom of the screen and choose the correct flow cell type.</li>
	<li>Click Start test to start the quality check. A minimum of 800 active nanopores in total is required for the flow cell to be usable.</li>
</ol>
7. Loading the Flow Cell and Starting the Sequencing Run
<ol>
	<li>Open the priming port cover by sliding it in a clockwise direction. Set a P1000 pipette to 200 &#181;L and insert the tip into the priming port. Adjust the pipette to 230 &#181;L while keeping the tip in the priming port, to draw up 20-30 &#181;L buffer and remove any air bubbles.</li>
	<li>In a new 1.5 mL DNA-low binding reaction tube prepare the priming mix by combining 576 &#181;L of RBF buffer (see Table of Materials) with 624 &#181;L of nuclease-free water.</li>
	<li>Carefully pipette 800 &#181;L of the prepared priming mix into the priming port and wait 5 min. Lift the sample port cover, and pipette an additional 200 &#181;L of the prepared priming mix into the priming port.</li>
	<li>Pipette 35 &#181;L of RBF buffer into a new, clean 1.5 mL DNA low-binding reaction tube. Thoroughly mix LLB beads (see Table of Materials) by pipetting and add 25.5 &#181;L of the beads to the RBF buffer. Add 2.5 &#181;L nuclease-free water and 12 &#181;L of DNA library from step 5.8 and mix by pipetting.</li>
	<li>Add 75 &#181;L of the sample mixture in a slow dropwise fashion to the flow cell via the sample port.</li>
	<li>Replace the sample port cover, close the priming port, and close the lid of the sequencing device.</li>
	<li>Within the software, confirm that the flow cell is still available, open a new experiment, and set up the run parameters by selecting the kit used. Select live base-calling. Start the sequencing run by clicking Begin Experiment. Continue the sequencing run until sufficient experimental data is collected.</li>
</ol>

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TH participated in the Oxford Nanopore Technologies (ONT) MinION early access program from 2014 to 2015, and received MinION devices and flow cells for a previous study 7 performed by the National Institutes of Health, USA, free of charge or at reduced costs. He was invited by ONT to present part of that work at the London Calling 2015 meeting in London, UK, and ONT payed for transportation and accommodation. For the work presented in this manuscript, no benefits (e.g. hardware or reagents at reduced cost, travel reimbursements etc.) were obtained from ONT. AM, KF and RS have nothing to disclose.

Over the last two decades, sequencing of biological samples has become an increasingly important aspect of studies in a wide range of subject areas. The development of second-generation sequencing systems based on the sequencing of a dense array of DNA features using iterative cycles of enzymatic manipulation and image-based data acquisition1 has dramatically increased throughput compared to the traditional Sanger sequencing technique, and allows analysis of multiple samples as well as various nucleic acid species in a given sample in parallel4. However, for most of the commonly used second-generation systems, only short reads are produced, and all platforms rely on sensitive, bulky, and expensive equipment3,4.
In contrast to second-generation sequencing platforms, the sequencing device used in this protocol is based on nanopore technology. Here a single-stranded nucleic acid molecule passes through a nanopore, resulting in modulation of an ionic current that is also flowing through the same nanopore, and which can be measured and back-translated to infer the sequence of the nucleic acid molecule. This third-generation sequencing approach imparts a number of advantages over other approaches. The main advantages that are directly related to the unique working principle of this technology are the extremely long read length produced (read lengths of up to 8.8 x 105 nucleotides have been reported6), the ability to sequence not only DNA but also RNA directly, which was recently demonstrated for a complete influenza virus genome17, and the ability to analyze data in real-time as they are being generated, which allows rapid metagenomics detection of pathogens within minutes18. Additional practical advantages are the extremely small size of the nanopore sequencing device, allowing its use in any laboratory or on field missions to remote locations19,20, and the low price in comparison to other sequencing platforms. In terms of running costs, currently a new flow cell is required for each sequencing run, which results in costs of about $1,100 per run for the flow cell and library preparation reagents. These costs can be reduced in some cases by washing and reusing the flow cell, or by barcoding and sequencing multiple samples in a single run. Also, a novel type of flow cell is currently being beta-tested by a small number of laboratories, which will require the use of a flow cell adaptor (called a &#8220;flongle&#8221;), and should significantly reduce flow cell price and thus running costs.
The major shortcoming of nanopore sequencing remains its accuracy, with single read accuracies in the range of 83 to 86% being reported6,21,22, and most of the inaccuracies being caused by insertion/deletions (indels)5,21. However, high read depth can compensate for these inaccuracies, and a recent study suggested based on theoretical considerations that a read depth of &#62;10 might increase overall accuracy to &#62;99.8%21. Nevertheless, further improvements in accuracy will be needed, particularly if analysis is to be performed on a single molecule level rather than on a consensus sequence level. The use of 1D2 technology as described in this protocol, which is based on the addition of the 1D2 and barcode adapters (cf. section 5.5) that result in both strands of a single DNA molecule being sequenced by the same nanopore, increases read accuracy since information from both DNA strands can be used for sequence determination. Further, a workaround strategy that can be pursued in order to combine the advantages of nanopore sequencing (particularly long read length) with the higher accuracy of other sequencing technologies is to use nanopore sequencing information as a scaffold, which is then polished using sequencing data from other platforms6.
The most critical factor for the success of the protocol presented here is sample quality, and particularly the amount and quality of the extracted RNA. Proper storage and prompt extraction of the RNA help in achieving an adequate RNA yield. The use of appropriate blood collection tubes allows the storage of blood samples for up to one month, but blood clotting can be an issue, particularly when samples are being stored at elevated temperatures, which can be the case under field conditions. The second critical step is the amplification of target sequences, and particular under field conditions PCR reactions often perform less well than under standard laboratory conditions7. To this end, careful primer design and optimization is paramount to achieve robust amplification. Additionally, nested PCR approaches and touchdown PCR, as used in this protocol, can increase both specificity and sensitivity of target gene amplification4,7. Indeed, in our experience in Liberia and Guinea with this technology nested protocols were required under field conditions with field samples even for primer sets which allowed amplification of targets from laboratory samples and under laboratory conditions with a single round of PCR (7 and unpublished results).
In contrast to these more critical steps, library preparation and the sequencing run itself are rather robust procedures. However, under field conditions practical issues such as the availability of certain pieces of equipment can be problematic. For example, a UV spectrophotometer is needed to determine DNA concentrations prior to library preparation of barcoded samples. However, should such a device not be available under field conditions, an equal volume of each sample can simply be combined to make up the 45 &#181;L required for library preparation, with differences in sample input material then usually being mitigated by the large number of reads. Similarly, the need for internet connectivity for the sequencing run can be an issue, even though the base-calling no longer has to be performed online but can be done locally; however, this necessity can be removed under certain circumstances by the manufacturer if required.
In summary, the presented protocol allows relatively low-cost sequencing in locations with no access to traditional sequencing equipment, including in remote locations. It can easily be adapted to any target RNA or DNA, thus allowing researchers to answer numerous biological questions.

Sequencing is a powerful and important tool in biological and biomedical research. It allows analysis of genomes, genetic variations, and RNA expression profiles, and thus plays an important role in the investigation of human and animal diseases alike1,2. Sanger sequencing, one of the oldest methods available for DNA sequencing, is still routinely used to this day and has been a corner-stone of molecular biology. Over the past 50 years, this technology has been improved to achieve read-lengths of more than 1,000 nt and an accuracy as high as 99.999%1. However, Sanger sequencing also has limitations. Sequencing a larger set of samples or the analysis of whole genomes with this method is time consuming and expensive1,3. Second-generation (next-generation) DNA sequencing methods such as 454 pyrosequencing and Illumina technology have allowed us to significantly reduce the cost and workload required for sequencing in the last decade, and have led to a tremendous increase in the amount of biological sequence information available4. Nevertheless, individual sequencing runs using these second-generation technologies are expensive, and sequencing under field conditions is challenging, as the necessary equipment is bulky and fragile (similar to Sanger sequencing devices), and often has to be calibrated and serviced by specially trained personnel. Also, for many of the second-generation technologies read-lengths are rather limited, which often makes downstream bioinformatics analysis of these data challenging.
Third-generation sequencing using pocket-sized nanopore sequencing devices (see Table of Materials) can serve as an alternative to these established sequencing platforms. In these devices a single-stranded DNA or RNA molecule passes through a nanopore simultaneously with an ionic current that is then measured by a sensor (Figure 1). As the strand traverses the nanopore, the modulation of the current by the nucleotides present in the pore at any given time is detected, and computationally back-translated into the nucleotide sequence5. Because of this operational principle, nanopore sequencing allows both the generation of very long reads (close to 1 x 106 nucleotides6) and the analysis of sequencing data in real time. Barcoding is possible by attaching defined nucleotide sequences to the nucleic acids in a sample, which allows analysis of multiple samples in a single sequencing run, thus increasing sample throughput and lowering per sample costs. Due to their high portability and ease of use, nanopore sequencing devices have been used successfully in the field during the recent Ebola virus disease epidemic in West Africa, highlighting their suitability for rapid deployment into remote regions7,8.
Here, we describe a detailed field-compatible protocol for the sequencing of mRNA encoding for the Niemann-Pick C1 (NPC1) protein, which is the obligate entry receptor for filoviruses such as ebolaviruses, and has been shown to limit species susceptibility to these viruses9,10. The protocol encompasses extraction of whole RNA from blood samples, specific amplification of NPC1 mRNA by RT-PCR, barcoding of samples, library preparation and sequencing with a nanopore sequencing device. Data analysis cannot be discussed due to space limitations, although some basic directions are provided in the representative results; however, the interested reader is referred to a previous publication11 for a more detailed description of the workflow we used, as well as to publications by others12,13,14 for detailed information regarding the analysis tools used in this workflow.

<table border="1" fo:keep-together.within-page="1" fo:keep-with-next.within-page="always">
	<tbody>
		<tr>
			<td>1D2 adapter, barcode adapter mix, ABB buffer, elution buffer, RBF buffer, LBB beads</td>
			<td>Oxford Nanopore Technologies</td>
			<td>SQK-LSK308</td>
			<td>1D&#178; Sequencing Kit</td>
		</tr>
		<tr>
			<td>blood collection tube with DNA/RNA stabilizing reagent</td>
			<td>Zymo Research</td>
			<td>R1150</td>
			<td>DNA/RNA Shield - Blood Collection Tube</td>
		</tr>
		<tr>
			<td>blunt/TA ligase master mix</td>
			<td>New England Biolabs</td>
			<td>M0367S</td>
			<td>Blunt/TA Ligase Master Mix</td>
		</tr>
		<tr>
			<td>DNA-low binding reaction tube</td>
			<td>Eppendorf</td>
			<td>30108051</td>
			<td>DNA LoBind Tube</td>
		</tr>
		<tr>
			<td>DNase buffer and DNase</td>
			<td>ThermoFisher Scientific</td>
			<td>11766050</td>
			<td>SuperScript&#8482; IV VILO&#8482; Master Mix with ezDNase&#8482; Enzyme</td>
		</tr>
		<tr>
			<td>flow cell</td>
			<td>Oxford Nanopore Technologies</td>
			<td>FLO-MIN105.24</td>
			<td>flow cell R9.4</td>
		</tr>
		<tr>
			<td>hot start high fidelity DNA polymerase</td>
			<td>New England Biolabs</td>
			<td>M0493L</td>
			<td>Q5 Hot Start High-Fidelity DNA Polymerase (500 U)</td>
		</tr>
		<tr>
			<td>magnetic beads</td>
			<td>Beckman Coulter</td>
			<td>A63881</td>
			<td>Agencourt AMPure XP beads</td>
		</tr>
		<tr>
			<td>magnetic rack</td>
			<td>ThermoFisher Scientific</td>
			<td>12321D</td>
			<td>DynaMag-2 Magnet</td>
		</tr>
		<tr>
			<td>nanopore sequencing device</td>
			<td>Oxford Nanopore Technologies</td>
			<td>-</td>
			<td>MinION Mk 1B</td>
		</tr>
		<tr>
			<td>PCR barcoding kit</td>
			<td>Oxford Nanopore Technologies</td>
			<td>EXP-PBC001</td>
			<td>PCR Barcoding Kit I (R9)</td>
		</tr>
		<tr>
			<td>reverse transcriptase master mix</td>
			<td>ThermoFisher Scientific</td>
			<td>11766050</td>
			<td>SuperScript&#8482; IV VILO&#8482; Master Mix with ezDNase&#8482; Enzyme</td>
		</tr>
		<tr>
			<td>RNA purification spin column, DNA/RNA prep buffer, DNA/RNA wash buffer, DNase I, DNA digestion buffer</td>
			<td>Zymo Research</td>
			<td>R1151</td>
			<td>Quick-DNA/RNA Blood Tube Kit</td>
		</tr>
		<tr>
			<td>rotating mixer</td>
			<td>ThermoFisher Scientific</td>
			<td>15920D</td>
			<td>HulaMixer Sample Mixer</td>
		</tr>
		<tr>
			<td>Taq DNA polymerase</td>
			<td>New England Biolabs</td>
			<td>M0287S</td>
			<td>LongAmp Taq 2X Master Mix</td>
		</tr>
		<tr>
			<td>Ultra II End-prep kit</td>
			<td>New England Biolabs</td>
			<td>E7546S</td>
			<td>NEBNext Ultra II End-Repair/dA-tailing Modul</td>
		</tr>
		<tr>
			<td>UV spectrophotometer</td>
			<td>Implen</td>
			<td>-</td>
			<td>NanoPhotometer</td>
		</tr>
		<tr>
			<td>vacuum manifold</td>
			<td>Zymo Research</td>
			<td>S7000</td>
			<td>EZ-Vac Vacuum Manifold</td>
		</tr>
	</tbody>
</table>

sequencing of mrna from whole blood using nanopore sequencing

Sequencing in remote locations and resource-poor settings presents unique challenges. Nanopore sequencing can be successfully used under such conditions, and was deployed to West Africa during the recent Ebola virus epidemic, highlighting this possibility. In addition to its practical advantages (low cost, ease of equipment transport and use), this technology also provides fundamental advantages over second-generation sequencing approaches, particularly the very long read length, ability to directly sequence RNA, and real-time availability of data. Raw read accuracy is lower than with other sequencing platforms, which represents the main limitation of this technology; however, this can be partially mitigated by the high read depth generated. Here, we present a field-compatible protocol for sequencing of the mRNAs encoding for Niemann-Pick C1, which is the cellular receptor for ebolaviruses. This protocol encompasses extraction of RNA from animal blood samples, followed by RT-PCR for target enrichment, barcoding, library preparation, and the sequencing run itself, and can be easily adapted for use with other DNA or RNA targets.

In a representative experiment to test the presented protocol we extracted the RNA from 10 different blood samples of five animal species (i.e., 2 individuals per species (goat, sheep, swine, dog, cattle)) (Table 3). RNA yields and quality following extraction can vary widely, in particular due to differences in sample handling and storage. In our representative experiment, we observed RNA concentrations between 43 ng and 543 ng per &#181;L (Table 3). Also, after amplification by RT-PCR, gel analysis of the NPC-1 PCR-products showed various outcomes (Figure 2), with markedly weaker bands for samples BC01 and BC02 (both goat). These differences were most likely caused by differences in sample quality, although differences in PCR efficacy due to differences in primer binding to the NPC1 gene of different species cannot be excluded. However, these differences in yield and/or amplification efficiency did not markedly impact the overall sequencing outcome. Further, an additional non-specific PCR product occurred in sample BC10 (cattle). In contrast to Sanger sequencing, such non-specific products do not negatively influence the results of nanopore sequencing, as these reads are discarded during mapping of the obtained reads to a reference sequence as part of the data analysis.
Prior to each sequencing run, a quality check of the flow cell to be used is strongly recommended, with a minimum requirement of 800 total pores. In our representative experiment, this quality check returned 1,102 pores available for sequencing. Since the data are provided in real time and can be analyzed immediately, the length of a sequencing run can be adjusted for the individual application (i.e., until sufficient sequencing data is produced for the desired analysis). In our experiments, sequencing runs are typically performed overnight, and in the case of our representative experiment we obtained approximately 1.4 million reads during such a 14 h run.
Depending on the type of data analysis to be performed, it can be advisable to process only a subset of the obtained reads. In the case of our representative experiment, a subset of 10,000 reads was selected for further analysis. To this end, the fastq files generated during the sequencing run were further processed in an Ubuntu 18.04 LTS environment, and demultiplexed using flexbar v3.0.3 with parameters optimized for demultiplexing of nanopore sequencing data (barcode-tail-length 300, barcode-error-rate 0.2, barcode-gap-penalty -1)12. After demultiplexing, read mapping and consensus generation can then be done using a number of different tools, but a detailed discussion of the bioinformatics aspect of nanopore sequencing goes beyond the scope of this manuscript. However, in the case of our representative results, read mapping to a reference sequence was performed using Geneious 10.2.3. Of the 10,000 reads analyzed, 5,457 showed a length between 1,750 and 2,000 nucleotides, which matches the expected sizes for the PCR fragments amplified as part of our workflow (1,769 nt, Figure 3). An additional peak in the length distribution of reads was observed between 250 to 500 nucleotides, which can be attributed to unspecific PCR products. Demultiplexing of reads allowed the assignment of 87.6% of the reads to one of the 10 barcodes/samples analyzed (Figure 4). The proportion of demultiplexed reads for each barcode ranged from 3.4% for barcode 1 to 16.9% for barcode 10; however, due to the overall large number of reads this still allowed meaningful consensus calling with a high read depth even for these lower abundance barcode datasets. Indeed, mapping of the sorted reads to a reference sequence of NPC1 resulted in between 31.7% (barcode 2) and 100% (barcode 7 and 8) of reads mapping to the reference, giving a read depth of more than 90 reads at any position for each sample. This is then more than adequate to allow confident consensus base-calling with a negligible error rate.
<img alt="Figure 1" class="xfigimg" src="/files/ftp_upload/59377/59377fig1.jpg" /> 
Figure 1: Schematic representation of DNA sequencing using nanopore technology. A single-stranded DNA molecule passes through a nanopore embedded in an electrically resistant membrane, with a helicase regulating the transition speed. An ionic current simultaneously passes through the pore and is continuously measured. Modulations of the current caused by the nucleotides present in the pore are detected and computationally back-translated into the nucleotide sequence of the DNA strand. <a href="https://jove.unicartagenaproxy.elogim.com/files/ftp_upload/59377/59377fig1large.jpg" target="_blank">Please click here to view a larger version of this figure.</a>
<img alt="Figure 2" class="xfigimg" src="/files/ftp_upload/59377/59377fig2.jpg" /> 
Figure 2: Amplification of PCR products of Niemann-Pick C1 from mRNA. mRNA was isolated from goat (BC01 and 02), sheep (BC03 and 04), swine (BC05 and 06), dog (BC07 and 08), and cattle (BC09 and 10). Nested PCR products were separated in a 0.8% agarose gel in 1x TAE buffer (prepared from 50x TAE buffer: 242.28 g of Tris base, 57.1 mL of glacial acetic acid, 100 mL of 0.5 M EDTA, dH2O to 1 L, pH adjusted to 8.0) for 45 min at 100 V and stained with Sybr Safe. <a href="https://jove.unicartagenaproxy.elogim.com/files/ftp_upload/59377/59377fig2large.jpg" target="_blank">Please click here to view a larger version of this figure.</a>
<img alt="Figure 3" class="xfigimg" src="/files/ftp_upload/59377/59377fig3.jpg" /> 
Figure 3: Read-length distribution of 10,000 reads from the representative experiment. The number of reads obtained having a given read length interval is indicated. <a href="https://jove.unicartagenaproxy.elogim.com/files/ftp_upload/59377/59377fig3large.jpg" target="_blank">Please click here to view a larger version of this figure.</a>
<img alt="Figure 4" class="xfigimg" src="/files/ftp_upload/59377/59377fig4.jpg" /> 
Figure 4: Distribution of reads after demultiplexing. The number and percentage of demultiplexed (grey) and mapped reads (black) for each barcode are shown. <a href="https://jove.unicartagenaproxy.elogim.com/files/ftp_upload/59377/59377fig4large.jpg" target="_blank">Please click here to view a larger version of this figure.</a>
Table 1: Overview of primer sets used. Initial amplification of target sequences was performed with Primer Set 1. Primer Set 2 was then used for nested amplification and adapter addition. Adapters are indicated in red. <a href="https://jove.unicartagenaproxy.elogim.com/files/ftp_upload/59377/table_1.xlsx">Please click here to download this file.</a>
Table 2: Overview of barcode sequences. Individual barcodes were used to identify each sequenced sample. <a href="https://jove.unicartagenaproxy.elogim.com/files/ftp_upload/59377/table_2.xlsx">Please click here to download this file.</a>
Table 3: RNA concentrations obtained following extraction from blood samples sequenced in the representative experiment. The RNA concentrations of two individuals from each of five species are shown, and the ratios of the optical densities at 260/280 nm and 260/230 nm are indicated. <a href="https://jove.unicartagenaproxy.elogim.com/files/ftp_upload/59377/table_3.xlsx">Please click here to download this file.</a>

Watch this Scientific Journal Video about Sequencing of mRNA from Whole Blood using Nanopore Sequencing at JoVE.com

Sequencing of mRNA from Whole Blood using Nanopore Sequencing

Nanopore sequencing is a novel technology that allows cost-effective sequencing in remote locations and resource-poor settings. Here, we present a protocol for sequencing of mRNAs from whole blood that is compatible with such conditions.

Sequencing in remote locations and resource-poor settings presents unique challenges. Nanopore sequencing can be successfully used under such conditions, ...

sequencing-of-mrna-from-whole-blood-using-nanopore-sequencing

Universidad de Cartagena UDEC

Research

JoVE Journal

Genetics

13.5K Views.  Friedrich-Loeffler-Institut. Nanopore sequencing is a novel technology that allows cost-effective sequencing in remote locations and resource-poor settings. Here, we present a protocol for sequencing of mRNAs from whole blood that is compatible with such conditions.

Video: Sequencing of mRNA from Whole Blood using Nanopore Sequencing

Methyl-binding DNA capture Sequencing for Patient Tissues

Methylation is one of the essential epigenetic modifications to the DNA, which is responsible for the precise regulation of genes required for stable development and differentiation of different tissue types. Dysregulation of this process is often the hallmark of various diseases like cancer. Here, we outline one of the recent sequencing techniques, Methyl-Binding DNA Capture sequencing (MBDCap-seq), used to quantify methylation in various normal and disease tissues for large patient cohorts. We describe a detailed protocol of this affinity enrichment approach along with a bioinformatics pipeline to achieve optimal quantification. This technique has been used to sequence hundreds of patients across various cancer types as a part of the 1,000 methylome project (Cancer Methylome System).

Here we present a protocol to investigate genome wide DNA methylation in large scale clinical patient screening studies using the Methyl-Binding DNA Capture sequencing (MBDCap-seq or MBD-seq) technology and the subsequent bioinformatics analysis pipeline.

Methylation is one of the essential epigenetic modifications to the DNA, which is responsible for the precise regulation of genes required for stable ...

Detection of Copy Number Alterations Using Single Cell Sequencing

Detection of genomic changes at single cell resolution is important for characterizing genetic heterogeneity and evolution in normal tissues, cancers, and microbial populations. Traditional methods for assessing genetic heterogeneity have been limited by low resolution, low sensitivity, and/or low specificity. Single cell sequencing has emerged as a powerful tool for detecting genetic heterogeneity with high resolution, high sensitivity and, when appropriately analyzed, high specificity. Here we provide a protocol for the isolation, whole genome amplification, sequencing, and analysis of single cells. Our approach allows for the reliable identification of megabase-scale copy number variants in single cells. However, aspects of this protocol can also be applied to investigate other types of genetic alterations in single cells.

Single cell sequencing is an increasingly popular and accessible tool for addressing genomic changes at high resolution. We provide a protocol that uses single cell sequencing to identify copy number alterations in single cells.

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Purification of High Molecular Weight Genomic DNA from Powdery Mildew for Long-Read Sequencing

The powdery mildew fungi are a group of economically important fungal plant pathogens. Relatively little is known about the molecular biology and genetics of these pathogens, in part due to a lack of well-developed genetic and genomic resources. These organisms have large, repetitive genomes, which have made genome sequencing and assembly prohibitively difficult. Here, we describe methods for the collection, extraction, purification and quality control assessment of high molecular weight genomic DNA from one powdery mildew species, Golovinomyces cichoracearum. The protocol described includes mechanical disruption of spores followed by an optimized phenol/chloroform genomic DNA extraction. A typical yield was 7 &#181;g DNA per 150 mg conidia. The genomic DNA that is isolated using this procedure is suitable for long-read sequencing (i.e., &#62; 48.5 kbp). Quality control measures to ensure the size, yield, and purity of the genomic DNA are also described in this method. Sequencing of the genomic DNA of the quality described here will allow for the assembly and comparison of multiple powdery mildew genomes, which in turn will lead to a better understanding and improved control of this agricultural pathogen.

Described here is a method for the extraction, purification, and quality control of genomic DNA from the obligate biotrophic fungal pathogen, powdery mildew, for use in long-read genome sequencing.

The powdery mildew fungi are a group of economically important fungal plant pathogens. Relatively little is known about the molecular biology and genetics ...

Retrospective MicroRNA Sequencing: Complementary DNA Library Preparation Protocol Using Formalin-fixed Paraffin-embedded RNA Specimens

&#8211;Archived, clinically classified formalin-fixed paraffin-embedded (FFPE) tissues can provide nucleic acids for retrospective molecular studies of cancer development. By using non-invasive or pre-malignant lesions from patients who later develop invasive disease, gene expression analyses may help identify early molecular alterations that predispose to cancer risk. It has been well described that nucleic acids recovered from FFPE tissues have undergone severe physical damage and chemical modifications, which make their analysis difficult and generally requires adapted assays. MicroRNAs (miRNAs), however, which represent a small class of RNA molecules spanning only up to ~18&#8211;24 nucleotides, have been shown to withstand long-term storage and have been successfully analyzed in FFPE samples. Here we present a 3&#39; barcoded complementary DNA (cDNA) library preparation protocol specifically optimized for the analysis of small RNAs extracted from archived tissues, which was recently demonstrated to be robust and highly reproducible when using archived clinical specimens stored for up to 35 years. This library preparation is well adapted to the multiplex analysis of compromised/degraded material where RNA samples (up to 18) are ligated with individual 3&#39; barcoded adapters and then pooled together for subsequent enzymatic and biochemical preparations prior to analysis. All purifications are performed by polyacrylamide gel electrophoresis (PAGE), which allows size-specific selections and enrichments of barcoded small RNA species. This cDNA library preparation is well adapted to minute RNA inputs, as a pilot polymerase chain reaction (PCR) allows determination of a specific amplification cycle to produce optimal amounts of material for next-generation sequencing (NGS). This approach was optimized for the use of degraded FFPE RNA from specimens archived for up to 35 years and provides highly reproducible NGS data.

Formalin-fixed paraffin-embedded specimens represent a valuable source of molecular biomarkers of human diseases. Here we present a laboratory-based cDNA library preparation protocol, initially designed with fresh frozen RNA, and optimized for the analysis of archived microRNAs from tissues stored up to 35 years.

&#8211;Archived, clinically classified formalin-fixed paraffin-embedded (FFPE) tissues can provide nucleic acids for retrospective molecular studies of ...

Rare Event Detection Using Error-corrected DNA and RNA Sequencing

Conventional next-generation sequencing techniques (NGS) have allowed for immense genomic characterization for over a decade. Specifically, NGS has been used to analyze the spectrum of clonal mutations in malignancy. Though far more efficient than traditional Sanger methods, NGS struggles with identifying rare clonal and subclonal mutations due to its high error rate of ~0.5&#8211;2.0%. Thus, standard NGS has a limit of detection for mutations that are &#62;0.02 variant allele fraction (VAF). While the clinical significance for mutations this rare in patients without known disease remains unclear, patients treated for leukemia have significantly improved outcomes when residual disease is &#60;0.0001 by flow cytometry. In order to mitigate this artefactual background of NGS, numerous methods have been developed. Here we describe a method for Error-corrected DNA and RNA Sequencing (ECS), which involves tagging individual molecules with both a 16 bp random index for error-correction and an 8 bp patient-specific index for multiplexing. Our method can detect and track clonal mutations at variant allele fractions (VAFs) two orders of magnitude lower than the detection limit of NGS and as rare as 0.0001 VAF.

Next-generation sequencing (NGS) is a powerful tool for genomic characterization that is limited by the high error rate of the platform (~0.5&#8211;2.0%). We describe our methods of error-corrected sequencing that allow us to obviate the NGS error rate and detect mutations at variant allele fractions as rare as 0.0001.

Conventional next-generation sequencing techniques (NGS) have allowed for immense genomic characterization for over a decade. Specifically, NGS has been ...

Ultralow Input Genome Sequencing Library Preparation from a Single Tardigrade Specimen

Tardigrades are microscopic animals that enter an ametabolic state called anhydrobiosis when facing desiccation and can return to their original state when water is supplied. The genomic sequencing of microscopic animals such as tardigrades risks bacterial contamination that sometimes leads to erroneous interpretations, for example, regarding the extent of horizontal gene transfer in these animals. Here, we provide an ultralow input method to sequence the genome of the tardigrade, Hypsibius dujardini, from a single specimen. By employing rigorous washing and contaminant exclusion along with an efficient extraction of the 50 ~ 200 pg genomic DNA from a single individual, we constructed a library sequenced with a DNA sequencing instrument. These libraries were highly reproducible and unbiased, and an informatics analysis of the sequenced reads with other H. dujardini genomes showed a minimal amount of contamination. This method can be applied to unculturable tardigrades that could not be sequenced using previous methods.

Contamination during the genomic sequencing of microscopic organisms remains a large problem. Here, we show a method to sequence the genome of a tardigrade from a single specimen with as little as 50 pg of genomic DNA without whole genome amplification to minimize the risk of contamination.

Tardigrades are microscopic animals that enter an ametabolic state called anhydrobiosis when facing desiccation and can return to their original state ...

Isolating, Sequencing and Analyzing Extracellular MicroRNAs from Human Mesenchymal Stem Cells

Extracellular and circulating RNAs (exRNA) are produced by many cell types of the body and exist in numerous bodily fluids such as saliva, plasma, serum, milk and urine. One subset of these RNAs are the posttranscriptional regulators &#8211; microRNAs (miRNAs). To delineate the miRNAs produced by specific cell types, in vitro culture systems can be used to harvest and profile exRNAs derived from one subset of cells. The secreted factors of mesenchymal stem cells are implicated in alleviating numerous diseases and is used as the in vitro model system here. This paper describes the process of collection, purification of small RNA and library generation to sequence extracellular miRNAs. ExRNAs from culture media differ from cellular RNA by being low RNA input samples, which calls for optimized procedures. This protocol provides a comprehensive guide to small exRNA sequencing from culture media, showing quality control checkpoints at each step during exRNA purification and sequencing.

This protocol demonstrates how to purify extracellular microRNAs from cell culture media for small RNA library construction and next generation sequencing. Various quality control checkpoints are described to allow readers to understand what to expect when working with low input samples like exRNAs.

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Semiconductor Sequencing for Preimplantation Genetic Testing for Aneuploidy

Chromosomal aneuploidy, one of the main causes leading to embryonic development arrest, implantation failure, or pregnancy loss, has been well documented in human embryos. Preimplantation genetic testing for aneuploidy (PGT-A) is a genetic test that significantly improves reproductive outcomes by detecting chromosomal abnormalities of embryos. Next-generation sequencing (NGS) provides a high-throughput and cost-effective approach for genetic analysis and has shown clinical applicability in PGT-A. Here, we present a rapid and low-cost semiconductor sequencing-based NGS method for screening of aneuploidy in embryos. The first step of the workflow is whole genome amplification (WGA) of the biopsied embryo specimen, followed by construction of sequencing library, and subsequent sequencing on the semiconductor sequencing system. Generally, for a PGT-A application, 24 samples can be loaded and sequenced on each chip generating 60&#8722;80 million reads at an average read length of 150 base pairs. The method provides a refined protocol for performing template amplification and enrichment of sequencing library, making the PGT-A detection reproducible, high-throughput, cost-efficient, and timesaving. The running time of this semiconductor sequencer is only 2&#8722;4 hours, shortening the turnaround time from receiving samples to issuing reports into 5 days. All these advantages make this assay an ideal method to detect chromosomal aneuploidies from embryos and thus, facilitate its wide application in PGT-A.

Here, we introduce a semiconductor sequencing method for preimplantation genetic testing for aneuploidy (PGT-A) with the advantages of short turnaround time, low cost, and high throughput.

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Single-cell RNA Sequencing and Analysis of Human Pancreatic Islets

Pancreatic islets comprise of endocrine cells with distinctive hormone expression patterns. The endocrine cells show functional differences in response to normal and pathological conditions. The goal of this protocol is to generate high-quality, large-scale transcriptome data of each endocrine cell type with the use of a droplet-based microfluidic single-cell RNA sequencing technology. Such data can be utilized to build the gene expression profile of each endocrine cell type in normal or specific conditions. The process requires careful handling, accurate measurement, and rigorous quality control. In this protocol, we describe detailed steps for human pancreatic islets dissociation, sequencing, and data analysis. The representative results of about 20,000 human single islet cells demonstrate the successful application of the protocol.

Here, we present a protocol to generate high-quality, large-scale transcriptome data of single cells from isolated human pancreatic islets using a droplet-based microfluidic single-cell RNA sequencing technology.

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A Complete Pipeline for Isolating and Sequencing MicroRNAs, and Analyzing Them Using Open Source Tools

Half of all human transcripts are thought to be regulated by microRNAs. Therefore, quantifying microRNA expression can reveal underlying mechanisms in disease states and provide therapeutic targets and biomarkers. Here, we detail how to accurately quantify microRNAs. Briefly, this method describes isolating microRNAs, ligating them to adaptors suitable for high-throughput sequencing, amplifying the final products, and preparing a sample library. Then, we explain how to align the obtained sequencing reads to microRNA hairpins, and quantify, normalize, and calculate their differential expression. Versatile and robust, this combined experimental workflow and bioinformatic analysis enables users to begin with tissue extraction and finish with microRNA quantification.

Here, we describe a step-by-step strategy for isolating small RNAs, enriching for microRNAs, and preparing samples for high-throughput sequencing. We then describe how to process sequence reads and align them to microRNAs, using open source tools.

Half of all human transcripts are thought to be regulated by microRNAs. Therefore, quantifying microRNA expression can reveal underlying mechanisms in ...