Version for device: MinION
This kit is available on the Legacy page of the store. We are in the process of gathering data to support the upgrade of this protocol to our latest chemistry. Further information regarding protocol upgrades will be provided on the Community as soon as they are available over the next few months. For further information on please see the product update page.
To enable the support for the rapidly expanding user requests, the team at Oxford Nanopore Technologies have put together a partially automated end-to-end workflow based on the ARTIC Network protocols and analysis methods.
We have developed this automated protocol on the Hamilton NGS Star 96 liquid handling robot. The protocol begins with manual preparation of the RNA samples, which includes reverse transcription and tiled PCR. The remainder of the library preparation is automated with minimal hands-on time which is required for sample quantification and deck re-loading.
While this protocol is available in the Nanopore Community, we kindly ask users to ensure they are citing the members of the ARTIC network who have been behind the development of these methods.
This protocol is based on the ARTIC amplicon sequencing protocol for MinION for nCoV-2019 by Josh Quick. The protocol generates 400 bp amplicons in a tiled fashion across the whole SARS-CoV-2 genome. Some example data is shown in the Downstream analysis and expected results section, this is generated using human coronavirus 229E to show what would be expected when running this protocol with SARS-CoV-2 samples.
Primers were designed by Josh Quick using Primal Scheme; the primer sequences can be found here.
Steps in the sequencing workflow:
Prepare for your experiment
you will need to:
Prepare your library
You will need to:
Note: On the Hamilton software, each step of the protocol is set up as a process. Currently, the off-deck section comprises Processes 1-2.
Note: Timings are dependent on number of samples and include hands on time, such as deck loading and sample quantification
Sequencing and analysis
You will need to:
Process | X96 samples |
---|---|
Reverse transcription | ~20 minutes |
PCR tiling | ~260 minutes |
Note: Manual preparation timings are for X96 samples. However, PCR tiling can take between ~200-260 minutes depending on the number of samples prepared.
Process | X24 samples | X48 samples | X96 samples | Hands-on time |
---|---|---|---|---|
Deck set-up | ~30 minutes | |||
Process 3: PCR tiling clean-up |
~53 minutes | ~60 minutes | ~60 minutes | |
Quantification | ~20 minutes | |||
Deck loading | ~30 minutes | |||
Processes 4-8: End-prep and native barcode ligation |
~200 minutes | ~240 minutes | ~280 minutes | |
Quantification | ~10 minutes | |||
Deck loading | ~30 minutes | |||
Processes 10-11: Adapter ligation and clean-up |
~90 minutes | ~90 minutes | ~90 minutes | |
Quantification | ~10 minutes | |||
Total | 5 hours 43 minutes | 6 hours 30 minutes | 7 hours | 2 hours 10 minutes |
This protocol requires total RNA extracted from samples that have been screened by a suitable qPCR assay. Here we demonstrate the level of sensitivity and specificity by titrating total RNA extracted from cell culture infected with Human coronavirus 229E spiked into 100 ng human RNA extracted from GM12878 to give approximate figures.
Although not tested here, work performed by Josh Quick et al. on the Zika virus gives approximate dilution factors that may help reduction of inhibiting compounds that can be co-extracted from samples.
Note: this is a guideline and not currently tested for SARS-CoV-2.
qPCR ct | Dilution factor |
---|---|
18–35 | none |
15–18 | 1:10 |
12–15 | 1:100 |
When processing multiple samples at once, we recommend making master mixes with an additional 10% of the volume. We also recommend using pre- and post-PCR hoods when handling master mixes and samples. It is important to clean and/or UV irradiate these hoods between sample batches. Furthermore, to track and monitor cross-contamination events, it is important to run a negative control reaction at the reverse transcription stage using nuclease-free water instead of sample, and carrying this control through the rest of the prep.
To minimise the chance of pipetting errors when preparing primer mixes, we recommend ordering the tiling primers from IDT in a lab-ready format at 100 µM.
This protocol should only be used in combination with:
Where sample RNA is added to the below reaction, it is likely advantageous to follow the dilution guidelines proposed by Josh Quick:
qPCR Ct | Dilution factor |
---|---|
18–35 | none |
15–18 | 1:10 |
12–15 | 1:100 |
If the sample has a low copy number (ct 18–35) use up to 16 µl of sample. Use nuclease-free water to make up any remaining volume. Take note to be aware that co-extracted compounds may inhibit reverse transcription and PCR.
Two worklist input excel files are required prior to running the protocol on the Hamilton NGS Star: one for processes03 to 08 and another for processes10 to 11. These will contain information regarding the appropriate number of samples, well identifiers and source concentration. In the first worklist, the target well is the well for pooled samples at the end of Process07. A maximum of 24 samples should be combined to make each pool, so for 96 samples, there will be 4 pools in target wells A1 to D1. Samples should be split evenly, so that the pools contain equivalent volumes. This worklist must be updated after the automated library preparation sections with the relevant plate information. Note that the pools are combined at the end of process08 into well A2, so the Source_Well for the second worklist will be A2.
Example:
This method has been tested and validated using the Hamilton NGS Star 96 (with 8 channels and MPH96), including an on-deck thermal cycler (ODTC), a Hamilton Heater Shaker (HHS) and the Inheco Cold Plate Air Cooled (CPAC) Modules. All modules are used at different stages of the protocol. This protocol may require some fine tuning for the specific NGS Star set-up and the temperature/humidity of the customer laboratory.
Please contact your Hamilton representative for further details.
Consumables | X24 samples | X48 samples | X96 samples |
---|---|---|---|
Hamilton 50 µl CO-RE tips with filter | 293 | 561 | 1097 |
Hamilton 300 µl CO-RE tips with filter | 108 | 206 | 402 |
Hamilton 1000 µl CO-RE tips with filter | 91 | 109 | 145 |
Hamilton 60 ml Reagent Reservoir, Self-Standing with Lid | 5 | 5 | 5 |
Hamilton PCR ComfortLid | 2 | 2 | 2 |
Bio-Rad Hard-Shell® 96-Well PCR Plate | 10 | 10 | 10 |
Roche Diagnostics MagNA Pure LC Medium Reagent Tubs 20 | 5 | 5 | 5 |
Sarstedt Inc Screw Cap Micro Tube 2ml | 4 | 6 | 8 |
Abgene™ 96 Well 0.8mL Polypropylene Deepwell Storage Plate | 4 | 4 | 4 |
1.5 ml Eppendorf DNA LoBind tubes | 4 | 4 | 4 |
Reagents/kits | X24 samples | X48 samples | X96 samples |
---|---|---|---|
AMPure XP Beads | 7.639 ml | 9.256 ml | 12.422 ml |
80% ethanol | 24.6 ml | 35.3 ml | 56.4 ml |
Nuclease-free water | 16 ml | 16.7 ml | 19.9 ml |
NEBNext Ultra II End Repair/dA-Tailing Module (Cat# E7546) | 1 small kit | 2 small kits | 2 small kits |
NEB Blunt/TA Ligase Master Mix (M0367) | 2 small kits | 3 small kits | 1 large kit |
NEBNext Quick Ligation Module (Cat# E6056) | 1 small kit | 1 small kit | 1 small kit |
Native Barcoding Expansion 96 (EXP-NBD196) | 1 kit | 1 kit | 1 kit |
Ligation Sequencing Kit (SQK-LSK109) | 1 kit | 1 kit | 1 kit |
SFB Expansion (EXP-SFB001) | 1 kit (3 tubes) |
1 kit (3 tubes) |
1 kit (4 tubes) |
LunaScript™ RT SuperMix Kit | 1 small kit | 2 small kits | 1 large kit |
Q5® Hot Start High-Fidelity 2X Master Mix (NEB, M0494) | 1 small kit | 1 small kit | 1 small kit |
Note: These quantities are for one run of the protocol for the selected number of samples.
Kits in batches NBD196.10.0007 onwards have barcodes ordered in columns on the plate:
Kits in batches prior to NBD196.10.0007 have barcodes ordered in rows:
Name | Acronym | Cap colour | No. of vials | Fill volume per vial (μl) |
---|---|---|---|---|
Native Barcode 01-96 | NB01-96 | - | 1 plate | 40 μl per well |
Adapter Mix II | AMII | Green | 1 | 70 |
Name | Acronym | Cap colour | No. of vials | Fill volume per vial (µl) |
---|---|---|---|---|
DNA CS | DCS | Yellow | 1 | 50 |
Adapter Mix | AMX | Green | 1 | 40 |
Ligation Buffer | LNB | Clear | 1 | 200 |
L Fragment Buffer | LFB | White cap, orange stripe on label | 2 | 1,800 |
S Fragment Buffer | SFB | Grey | 2 | 1,800 |
Sequencing Buffer | SQB | Red | 2 | 300 |
Elution Buffer | EB | Black | 1 | 200 |
Loading Beads | LB | Pink | 1 | 360 |
Name | Acronym | Cap colour | No. of vials | Fill volume per vial (μl) |
---|---|---|---|---|
Flush Buffer | FB | Blue | 6 | 1,170 |
Flush Tether | FLT | Purple | 1 | 200 |
Name | Acronym | Cap colour | No. of vials | Fill volume per vial (μl) |
---|---|---|---|---|
Short Fragment Buffer | SFB | Grey | 4 | 1,800 |
Component | Forward sequence | Reverse sequence |
---|---|---|
NB01 | CACAAAGACACCGACAACTTTCTT | AAGAAAGTTGTCGGTGTCTTTGTG |
NB02 | ACAGACGACTACAAACGGAATCGA | TCGATTCCGTTTGTAGTCGTCTGT |
NB03 | CCTGGTAACTGGGACACAAGACTC | GAGTCTTGTGTCCCAGTTACCAGG |
NB04 | TAGGGAAACACGATAGAATCCGAA | TTCGGATTCTATCGTGTTTCCCTA |
NB05 | AAGGTTACACAAACCCTGGACAAG | CTTGTCCAGGGTTTGTGTAACCTT |
NB06 | GACTACTTTCTGCCTTTGCGAGAA | TTCTCGCAAAGGCAGAAAGTAGTC |
NB07 | AAGGATTCATTCCCACGGTAACAC | GTGTTACCGTGGGAATGAATCCTT |
NB08 | ACGTAACTTGGTTTGTTCCCTGAA | TTCAGGGAACAAACCAAGTTACGT |
NB09 | AACCAAGACTCGCTGTGCCTAGTT | AACTAGGCACAGCGAGTCTTGGTT |
NB10 | GAGAGGACAAAGGTTTCAACGCTT | AAGCGTTGAAACCTTTGTCCTCTC |
NB11 | TCCATTCCCTCCGATAGATGAAAC | GTTTCATCTATCGGAGGGAATGGA |
NB12 | TCCGATTCTGCTTCTTTCTACCTG | CAGGTAGAAAGAAGCAGAATCGGA |
NB13 | AGAACGACTTCCATACTCGTGTGA | TCACACGAGTATGGAAGTCGTTCT |
NB14 | AACGAGTCTCTTGGGACCCATAGA | TCTATGGGTCCCAAGAGACTCGTT |
NB15 | AGGTCTACCTCGCTAACACCACTG | CAGTGGTGTTAGCGAGGTAGACCT |
NB16 | CGTCAACTGACAGTGGTTCGTACT | AGTACGAACCACTGTCAGTTGACG |
NB17 | ACCCTCCAGGAAAGTACCTCTGAT | ATCAGAGGTACTTTCCTGGAGGGT |
NB18 | CCAAACCCAACAACCTAGATAGGC | GCCTATCTAGGTTGTTGGGTTTGG |
NB19 | GTTCCTCGTGCAGTGTCAAGAGAT | ATCTCTTGACACTGCACGAGGAAC |
NB20 | TTGCGTCCTGTTACGAGAACTCAT | ATGAGTTCTCGTAACAGGACGCAA |
NB21 | GAGCCTCTCATTGTCCGTTCTCTA | TAGAGAACGGACAATGAGAGGCTC |
NB22 | ACCACTGCCATGTATCAAAGTACG | CGTACTTTGATACATGGCAGTGGT |
NB23 | CTTACTACCCAGTGAACCTCCTCG | CGAGGAGGTTCACTGGGTAGTAAG |
NB24 | GCATAGTTCTGCATGATGGGTTAG | CTAACCCATCATGCAGAACTATGC |
NB25 | GTAAGTTGGGTATGCAACGCAATG | CATTGCGTTGCATACCCAACTTAC |
NB26 | CATACAGCGACTACGCATTCTCAT | ATGAGAATGCGTAGTCGCTGTATG |
NB27 | CGACGGTTAGATTCACCTCTTACA | TGTAAGAGGTGAATCTAACCGTCG |
NB28 | TGAAACCTAAGAAGGCACCGTATC | GATACGGTGCCTTCTTAGGTTTCA |
NB29 | CTAGACACCTTGGGTTGACAGACC | GGTCTGTCAACCCAAGGTGTCTAG |
NB30 | TCAGTGAGGATCTACTTCGACCCA | TGGGTCGAAGTAGATCCTCACTGA |
NB31 | TGCGTACAGCAATCAGTTACATTG | CAATGTAACTGATTGCTGTACGCA |
NB32 | CCAGTAGAAGTCCGACAACGTCAT | ATGACGTTGTCGGACTTCTACTGG |
NB33 | CAGACTTGGTACGGTTGGGTAACT | AGTTACCCAACCGTACCAAGTCTG |
NB34 | GGACGAAGAACTCAAGTCAAAGGC | GCCTTTGACTTGAGTTCTTCGTCC |
NB35 | CTACTTACGAAGCTGAGGGACTGC | GCAGTCCCTCAGCTTCGTAAGTAG |
NB36 | ATGTCCCAGTTAGAGGAGGAAACA | TGTTTCCTCCTCTAACTGGGACAT |
NB37 | GCTTGCGATTGATGCTTAGTATCA | TGATACTAAGCATCAATCGCAAGC |
NB38 | ACCACAGGAGGACGATACAGAGAA | TTCTCTGTATCGTCCTCCTGTGGT |
NB39 | CCACAGTGTCAACTAGAGCCTCTC | GAGAGGCTCTAGTTGACACTGTGG |
NB40 | TAGTTTGGATGACCAAGGATAGCC | GGCTATCCTTGGTCATCCAAACTA |
NB41 | GGAGTTCGTCCAGAGAAGTACACG | CGTGTACTTCTCTGGACGAACTCC |
NB42 | CTACGTGTAAGGCATACCTGCCAG | CTGGCAGGTATGCCTTACACGTAG |
NB43 | CTTTCGTTGTTGACTCGACGGTAG | CTACCGTCGAGTCAACAACGAAAG |
NB44 | AGTAGAAAGGGTTCCTTCCCACTC | GAGTGGGAAGGAACCCTTTCTACT |
NB45 | GATCCAACAGAGATGCCTTCAGTG | CACTGAAGGCATCTCTGTTGGATC |
NB46 | GCTGTGTTCCACTTCATTCTCCTG | CAGGAGAATGAAGTGGAACACAGC |
NB47 | GTGCAACTTTCCCACAGGTAGTTC | GAACTACCTGTGGGAAAGTTGCAC |
NB48 | CATCTGGAACGTGGTACACCTGTA | TACAGGTGTACCACGTTCCAGATG |
NB49 | ACTGGTGCAGCTTTGAACATCTAG | CTAGATGTTCAAAGCTGCACCAGT |
NB50 | ATGGACTTTGGTAACTTCCTGCGT | ACGCAGGAAGTTACCAAAGTCCAT |
NB51 | GTTGAATGAGCCTACTGGGTCCTC | GAGGACCCAGTAGGCTCATTCAAC |
NB52 | TGAGAGACAAGATTGTTCGTGGAC | GTCCACGAACAATCTTGTCTCTCA |
NB53 | AGATTCAGACCGTCTCATGCAAAG | CTTTGCATGAGACGGTCTGAATCT |
NB54 | CAAGAGCTTTGACTAAGGAGCATG | CATGCTCCTTAGTCAAAGCTCTTG |
NB55 | TGGAAGATGAGACCCTGATCTACG | CGTAGATCAGGGTCTCATCTTCCA |
NB56 | TCACTACTCAACAGGTGGCATGAA | TTCATGCCACCTGTTGAGTAGTGA |
NB57 | GCTAGGTCAATCTCCTTCGGAAGT | ACTTCCGAAGGAGATTGACCTAGC |
NB58 | CAGGTTACTCCTCCGTGAGTCTGA | TCAGACTCACGGAGGAGTAACCTG |
NB59 | TCAATCAAGAAGGGAAAGCAAGGT | ACCTTGCTTTCCCTTCTTGATTGA |
NB60 | CATGTTCAACCAAGGCTTCTATGG | CCATAGAAGCCTTGGTTGAACATG |
NB61 | AGAGGGTACTATGTGCCTCAGCAC | GTGCTGAGGCACATAGTACCCTCT |
NB62 | CACCCACACTTACTTCAGGACGTA | TACGTCCTGAAGTAAGTGTGGGTG |
NB63 | TTCTGAAGTTCCTGGGTCTTGAAC | GTTCAAGACCCAGGAACTTCAGAA |
NB64 | GACAGACACCGTTCATCGACTTTC | GAAAGTCGATGAACGGTGTCTGTC |
NB65 | TTCTCAGTCTTCCTCCAGACAAGG | CCTTGTCTGGAGGAAGACTGAGAA |
NB66 | CCGATCCTTGTGGCTTCTAACTTC | GAAGTTAGAAGCCACAAGGATCGG |
NB67 | GTTTGTCATACTCGTGTGCTCACC | GGTGAGCACACGAGTATGACAAAC |
NB68 | GAATCTAAGCAAACACGAAGGTGG | CCACCTTCGTGTTTGCTTAGATTC |
NB69 | TACAGTCCGAGCCTCATGTGATCT | AGATCACATGAGGCTCGGACTGTA |
NB70 | ACCGAGATCCTACGAATGGAGTGT | ACACTCCATTCGTAGGATCTCGGT |
NB71 | CCTGGGAGCATCAGGTAGTAACAG | CTGTTACTACCTGATGCTCCCAGG |
NB72 | TAGCTGACTGTCTTCCATACCGAC | GTCGGTATGGAAGACAGTCAGCTA |
NB73 | AAGAAACAGGATGACAGAACCCTC | GAGGGTTCTGTCATCCTGTTTCTT |
NB74 | TACAAGCATCCCAACACTTCCACT | AGTGGAAGTGTTGGGATGCTTGTA |
NB75 | GACCATTGTGATGAACCCTGTTGT | ACAACAGGGTTCATCACAATGGTC |
NB76 | ATGCTTGTTACATCAACCCTGGAC | GTCCAGGGTTGATGTAACAAGCAT |
NB77 | CGACCTGTTTCTCAGGGATACAAC | GTTGTATCCCTGAGAAACAGGTCG |
NB78 | AACAACCGAACCTTTGAATCAGAA | TTCTGATTCAAAGGTTCGGTTGTT |
NB79 | TCTCGGAGATAGTTCTCACTGCTG | CAGCAGTGAGAACTATCTCCGAGA |
NB80 | CGGATGAACATAGGATAGCGATTC | GAATCGCTATCCTATGTTCATCCG |
NB81 | CCTCATCTTGTGAAGTTGTTTCGG | CCGAAACAACTTCACAAGATGAGG |
NB82 | ACGGTATGTCGAGTTCCAGGACTA | TAGTCCTGGAACTCGACATACCGT |
NB83 | TGGCTTGATCTAGGTAAGGTCGAA | TTCGACCTTACCTAGATCAAGCCA |
NB84 | GTAGTGGACCTAGAACCTGTGCCA | TGGCACAGGTTCTAGGTCCACTAC |
NB85 | AACGGAGGAGTTAGTTGGATGATC | GATCATCCAACTAACTCCTCCGTT |
NB86 | AGGTGATCCCAACAAGCGTAAGTA | TACTTACGCTTGTTGGGATCACCT |
NB87 | TACATGCTCCTGTTGTTAGGGAGG | CCTCCCTAACAACAGGAGCATGTA |
NB88 | TCTTCTACTACCGATCCGAAGCAG | CTGCTTCGGATCGGTAGTAGAAGA |
NB89 | ACAGCATCAATGTTTGGCTAGTTG | CAACTAGCCAAACATTGATGCTGT |
NB90 | GATGTAGAGGGTACGGTTTGAGGC | GCCTCAAACCGTACCCTCTACATC |
NB91 | GGCTCCATAGGAACTCACGCTACT | AGTAGCGTGAGTTCCTATGGAGCC |
NB92 | TTGTGAGTGGAAAGATACAGGACC | GGTCCTGTATCTTTCCACTCACAA |
NB93 | AGTTTCCATCACTTCAGACTTGGG | CCCAAGTCTGAAGTGATGGAAACT |
NB94 | GATTGTCCTCAAACTGCCACCTAC | GTAGGTGGCAGTTTGAGGACAATC |
NB95 | CCTGTCTGGAAGAAGAATGGACTT | AAGTCCATTCTTCTTCCAGACAGG |
NB96 | CTGAACGGTCATAGAGTCCACCAT | ATGGTGGACTCTATGACCGTTCAG |
Computer requirements and software
Sequencing on a MinION Mk1B requires a high-spec computer or laptop to keep up with the rate of data acquisition. Read more in the MinION Mk1B IT Requirements document.
The MinION Mk1C contains fully-integrated compute and screen, removing the need for any accessories to generate and analyse nanopore data. Read more in the MinION Mk1C IT requirements document.
The MinKNOW software controls the nanopore sequencing device, collects sequencing data and basecalls in real time. You will be using MinKNOW for every sequencing experiment to sequence, basecall and demultiplex if your samples were barcoded.
For instructions on how to run the MinKNOW software, please refer to the MinKNOW protocol.
The EPI2ME cloud-based platform performs further analysis of basecalled data, for example alignment to the Lambda genome, barcoding, or taxonomic classification. You will use the EPI2ME platform only if you would like further analysis of your data post-basecalling.
For instructions on how to create an EPI2ME account and install the EPI2ME Desktop Agent, please refer to the EPI2ME Platform protocol.
We highly recommend that you check the number of pores in your flow cell prior to starting a sequencing experiment. This should be done within 12 weeks of purchasing for MinION/GridION/PromethION or within four weeks of purchasing Flongle Flow Cells. Oxford Nanopore Technologies will replace any flow cell with fewer than the number of pores in the table below, when the result is reported within two days of performing the flow cell check, and when the storage recommendations have been followed. To do the flow cell check, please follow the instructions in the Flow Cell Check document.
Flow cell | Minimum number of active pores covered by warranty |
---|---|
Flongle Flow Cell | 50 |
MinION/GridION Flow Cell | 800 |
PromethION Flow Cell | 5000 |
Reverse transcription
Consumables | X24, X48 and X96 samples |
---|---|
Hard-Shell® 96-Well PCR Plates | 1 |
Reagents | X24 samples | X48 samples | X96 samples |
---|---|---|---|
LunaScript™ RT SuperMix (5x) | 96 µl | 192 µl | 384 µl |
Reagent | Volume per well |
---|---|
RNA sample | 16 µl |
LunaScript RT SuperMix (5x) | 4 µl |
Total | 20 µl |
Note: We recommend using up to 16 µl of RNA sample. Use nuclease-free water to make up the final volume to 16 µl if required.
Step | Temperature | Time | Cycles |
---|---|---|---|
Primer annealing | 25°C | 2 min | 1 |
cDNA synthesis | 55°C | 10 min | 1 |
Heat inactivation | 95°C | 1 min | 1 |
Hold | 4°C | ∞ |
PCR tiling
Consumables | X24, X48 and X96 samples |
---|---|
1.5 ml Eppendorf tubes | 4 |
Bio-Rad Hard-Shell® 96-Well PCR Plates | 3 |
Reagents | X24 samples | X48 samples | X96 samples |
---|---|---|---|
Q5® Hot Start High-Fidelity 2X Master Mix | 300 µl | 600 µl | 1200 µl |
Primer pool at 10 µM (A or B) | 88.8 µl | 177.6 µl | 355.2 µl |
Nuclease-free water | 91.2 µl | 182.4 µl | 364.8 µl |
To generate tiled PCR amplicons from the SARS-CoV-2 viral cDNA, primers were designed by Josh Quick using Primal Scheme. These primers are designed to generate 400 bp amplicons that overlap by approximately 20 bp. These primer sequences can be found here. Where we show example data outputs in this protocol, the same parameters were used to design primers to the human coronavirus 229E to provide guideline statistics.
Note: To achieve the desired final concentration of each primer in the pool at 0.015 µM in the PCR reaction, 3.7 µl of the 10 µM working stock is needed for each PCR reaction. Two separate PCR reactions will be performed per sample, one for pool A primers and one for pool B. This results in tiled amplicons that have approximately 20 bp overlap.
Reagent | X24 samples | X48 samples | X96 samples |
---|---|---|---|
Q5® Hot Start High-Fidelity 2X Master Mix | 300 µl | 600 µl | 1200 µl |
Primer pool at 10 µM (A or B) | 88.8 µl | 177.6 µl | 355.2 µl |
Nuclease-free water | 91.2 µl | 182.4 µl | 364.8 µl |
Total | 480 µl | 960 µl | 1920 µl |
We recommend having a single negative for every plate of samples and a standard curve of positive controls.
Step | Temperature | Time | Cycles |
---|---|---|---|
Initial denaturation | 98°C | 30 sec | 1 |
Denaturation Annealing and extension |
98°C 65°C |
15 sec 5 min |
25–35 |
Hold | 4°C | ∞ |
Note: Cycle number should be varied for low or high viral load samples. Guidelines provided by Josh Quick suggest that 25 cycles should be used for Ct 18–21 up to a maximum of 35 cycles for Ct 35, however this has not been tested here.
Note: Ensure the sample from pool A corresponds to the sample from pool B.
PCR tiling clean-up
Consumables | X24 samples | X48 samples | X96 samples |
---|---|---|---|
Hamilton 50 µl CO-RE tips with filter | 72 | 144 | 288 |
Hamilton 300 µl CO-RE tips with filter | 104 | 200 | 392 |
Hamilton 1000 µl CO-RE tips with filter | 24 | 24 | 24 |
Hamilton 60 ml Reagent Reservoir, Self-Standing with Lid | 2 | 2 | 2 |
Bio-Rad Hard-Shell® 96-Well PCR Plate | 2 | 2 | 2 |
Roche Diagnostics MagNA Pure LC Medium Reagent Tubs 20 | 1 | 1 | 1 |
Abgene™ 96 Well 0.8mL Polypropylene Deepwell Storage Plate | 1 | 1 | 1 |
Reagents | X24 samples | X48 samples | X96 samples |
---|---|---|---|
AMPure XP Beads | 3.3 ml | 4.6 ml | 7.2 ml |
80% ethanol | 17.5 ml | 28.1 ml | 49.2 ml |
Nuclease-free water | 7.4 ml | 7.7 ml | 8.5 ml |
After a couple minutes, the software will connect to the instrument and the deck layout should appear.
Note: Ensure the Trace View and MLSTAR deck layout are selected at the top of the page with the instrument and the HHS, CPAC and ODTC are connected.
Relevant information required includes sample identification, well location and target well location.
Example sample sheet:
Note: Click 'Remove All' twice if all the positions are not brown and update the tips available. There must be a tip rack (empty, partial or full) in every position. All tips in the tip racks also need to be input into the GUI to prevent a hardware crash.
Reagents | X24 samples | X48 samples | X96 samples |
---|---|---|---|
80% ethanol | 17.5 ml | 28.1 ml | 49.2 ml |
Reagents | X24 samples | x48 samples | x96 samples |
---|---|---|---|
Nuclease-free water | 7.4 ml | 7.7 ml | 8.5 ml |
AMPure XP beads | 3.3 ml | 4.6 ml | 7.2 ml |
End-prep, native barcode ligation and clean-up
Consumables | X24 samples | X48 samples | X96 samples |
---|---|---|---|
Hamilton 50 µl CO-RE tips with filter | 215 | 411 | 803 |
Hamilton 300 µl CO-RE tips with filter | 2 | 4 | 8 |
Hamilton 1000 µl CO-RE tips with filter | 42 | 60 | 96 |
Hamilton 60 ml Reagent Reservoir, Self-Standing with Lid | 2 | 2 | 2 |
Hamilton PCR ComfortLid | 1 | 1 | 1 |
Bio-Rad Hard-Shell® 96-Well PCR Plate | 3 | 3 | 3 |
Roche Diagnostics MagNA Pure LC Medium Reagent Tubs 20 | 2 | 2 | 2 |
Sarstedt Inc Screw Cap Micro Tube 2ml | 2 | 4 | 6 |
Abgene™ 96 Well 0.8mL Polypropylene Deepwell Storage Plate | 2 | 2 | 2 |
Reagents | X24 samples | X48 samples | X96 samples |
---|---|---|---|
NEBNext Ultra II End-prep reaction buffer | 87.5 µl | 175 µl | 315 µl |
NEBNext Ultra II End-prep enzyme mix | 37.5 µl | 75 µl | 135 µl |
NEBNext Blunt/TA Ligase Master Mix (M0367) | 350 µl | 700 µl | 1350 µl |
AMPure XP beads | 2317 µl | 2633.6 µl | 3.2 ml |
80% ethanol | 7.1 ml | 7.2 ml | 7.2 ml |
Nuclease-free water | 8.4 ml | 8.8 ml | 11 ml |
Short Fragment Buffer (SFB) | 2550 µl | 3.1 ml | 4.2 ml |
For optimal performance, NEB recommend the following:
Note: If fewer than 96 samples are to be processed, ensure the positions of the barcodes in the barcode plate match those in the worklist.
Note: If samples fall outside the recommended concentrations, a warning will appear. Click 'Ok' to continue.
Note: It is user preference whether to save and print the instructions.
End-prep Mastermix:
Reagent | X24 samples | X48 samples | X96 samples |
---|---|---|---|
Ultra II End Prep Buffer | 87.5 µl | 175 µl | 315 µl |
Ultra II End Prep Enzyme Mix | 37.5 µl | 75 µl | 135 µl |
Native Barcode Mastermix:
Reagent | X24 samples | X48 samples | X96 samples |
---|---|---|---|
NEB Blunt/TA Ligase Master Mix | 350 µl | 700 µl | 1350 µl |
Reagents | X24 samples | X48 samples | X96 samples |
---|---|---|---|
80% ethanol | 7.1 ml | 7.2 ml | 7.2 ml |
Reagent | X24 samples | X48 samples | X96 samples |
---|---|---|---|
Beads | 2317 µl | 2633.6 µl | 3.2 ml |
Nuclease-free water | 8.4 ml | 8.8 ml | 11 ml |
Short Fragment Buffer (SFB) | 2550 µl | 3.1 ml | 4.2 ml |
The status window in the bottom right of the screen will illustrate what the robot is doing.
Output plate:
Barcode plate (if not previously removed):
Input sample plate:
Normalised sample plate:
Adapter ligation and clean-up
Consumables | X24, X48 and X96 samples |
---|---|
Hamilton 50 µl CO-RE tips with filter | 6 |
Hamilton 300 µl CO-RE tips with filter | 2 |
Hamilton 1000 µl CO-RE tips with filter | 25 |
Hamilton 60 ml Reagent Reservoir, Self-Standing with Lid | 1 |
Bio-Rad Hard-Shell® 96-Well PCR Plate | 1 |
Roche Diagnostics MagNA Pure LC Medium Reagent Tubs 20 | 2 |
Sarstedt Inc Screw Cap Micro Tube 2ml | 2 |
Abgene™ 96 Well 0.8mL Polypropylene Deepwell Storage Plate | 1 |
Reagents | X24, X48 and X96 samples |
---|---|
Adapter Mix II (AMII) | 18.75 µl |
Short Fragment Buffer (SFB) | 2250 µl |
Elution Buffer (EB) | 35 µl |
NEBNext Quick Ligation Buffer | 37.5 µl |
NEBNext T4 DNA Ligase | 18.75 µl |
AMPure XP Beads | 2022 µl |
Update the worklist for the Source_Well
and Target_Well
match the position of the pooled samples in the input plate.
Note: It is possible to transfer pools from multiple runs into a single plate to run adapter ligation (process 10 and 11), up to a maximum of 8 source wells.
Note: It is user preference whether to print and save the instructions.
Take care when pipetting the viscous AMII.
Reagents | X24, X48 and X96 samples |
---|---|
Adapter Mix II (AMII) | 18.75 µl |
Quick T4 DNA Ligase | 18.75 µl |
NEBNext Quick Ligation Reaction Buffer | 37.5 µl |
Note: If there are enough tips left, there is no need to reload tips.
Note: If there are enough tips left from the previous run, there is no need to reload tips.
Reagents | X24, X48 and X96 samples |
---|---|
Short Fragment Buffer (SFB) | 2250 µl |
Beads | 2022 µl |
Reagents | X24, X48 and X96 samples |
---|---|
Elution Buffer (EB) | 35 µl |
Note: The Normalised Pool Plate is the output plate from the previous step, containing the pooled barcoded samples.
Eluted DNA samples:
Input Sample plate:
We do not recommend running the liquid handling robot overnight as the plate must be sealed and stored on ice as soon as library preparation is finished.
We recommend storing libraries in Eppendorf DNA LoBind tubes at 4°C for short-term storage or repeated use, for example, re-loading flow cells between washes.
For single use and long-term storage of more than 3 months, we recommend storing libraries at -80°C in Eppendorf DNA LoBind tubes.
Additional buffer for doing this can be found in the Sequencing Auxiliary Vials expansion (EXP-AUX001), available to purchase separately. This expansion also contains additional vials of Sequencing Buffer (SQB) and Loading Beads (LB), required for loading the libraries onto flow cells.
Priming and loading the SpotON Flow Cell
Press down firmly on the flow cell to ensure correct thermal and electrical contact.
This step can be omitted if the flow cell has been checked previously.
See the flow cell check instructions in the MinKNOW protocol for more information.
Note: Visually check that there is continuous buffer from the priming port across the sensor array.
Demo of how to use the Loading Beads.
Reagent | Volume per flow cell |
---|---|
Sequencing Buffer (SQB) | 34 µl |
Loading Beads (LB), mixed immediately before use | 25.5 µl |
Nuclease-free water | 4.5 µl |
DNA library | 11 µl |
Total | 75 µl |
Note: Load the library onto the flow cell immediately after adding the Sequencing Buffer (SQB) and Loading Beads (LB) because the fuel in the buffer will start to be consumed by the adapter.
We recommend leaving the light shield on the flow cell when library is loaded, including during any washing and reloading steps. The shield can be removed when the library has been removed from the flow cell.
Carefully place the leading edge of the light shield against the clip.
Note: Do not force the light shield underneath the clip.
Gently lower the light shield onto the flow cell. The light shield should sit around the SpotON cover, covering the entire top section of the flow cell.
Data acquisition and basecalling
For a full overview of nanopore data analysis, which includes options for basecalling and post-basecalling analysis, please refer to the Data Analysis document.
The sequencing device control, data acquisition and real-time basecalling are carried out by the MinKNOW software. Please ensure MinKNOW is installed on your computer or device. There are multiple options for how to carry out sequencing:
Follow the instructions in the MinKNOW protocol beginning from the "Starting a sequencing run" section until the end of the "Completing a MinKNOW run" section.
Follow the instructions in the GridION user manual.
Follow the instructions in the MinION Mk1C user manual.
Follow the instructions in the PromethION user manual or the PromethION 2 Solo user manual.
Follow the instructions in the MinKNOW protocol beginning from the "Starting a sequencing run" section until the end of the "Completing a MinKNOW run" section. When setting your experiment parameters, set the Basecalling tab to OFF. After the sequencing experiment has completed, follow the instructions in the Post-run analysis section of the MinKNOW protocol.
When setting the sequencing parameters in MinKNOW, in the Basecalling set barcoding as Enabled, and in the barcoding options, toggle Barcode both ends, Mid-read barcodes and Override minimum mid barcoding score to ON and set Minimum mid barcoding score to 50.
Optional: basecalling and/or demultiplexing of sequences can be performed using the stand-alone Guppy software.
Downstream analysis and expected results
The recommended workflows for the bioinformatics analyses are provided by the ARTIC network and are documented on their web pages at https://artic.network/ncov-2019/ncov2019-bioinformatics-sop.html.
The reference guided genome assembly and variant calling are also performed according to the bioinformatics protocol provided by the ARTIC network. Their best practices guide uses the software contained within the FieldBioinformatics project on GitHub.
This workflow uses only the basecalled FASTQ files to perform a high-quality reference-guided assembly of the SARS-CoV-2 genome. Sequenced reads are re-demultiplexed with the requirement that reads must contain a barcode at both ends of the sequence (this only applies to the Classic and Eco PCR tiling of SARS-CoV-2 protocols but not the Rapid Barcoding PCR tiling of SARS-CoV-2), and must not contain internal barcodes. The reads are mapped to the reference genome, primer sequences are excluded and the consensus sequence is polished. The Medaka software is used to call single-nucleotide variants while the ARTIC software reports the high-quality consensus sequence from the workflow.
The FieldBioinformatics workflow for SARS-CoV-2 sequence analysis is provided as a Jupyter notebook tutorial in the EPI2ME Labs software. The coronavirus workflow has been augmented to include additional steps that help with the quality control of individual libraries, and aid in the presentation of summary statistics and the final sets of called variants.
The FieldBioinformatics workflow for SARS-CoV-2 sequence analysis is also provided as an EPI2ME workflow – this provides a more accessible interface to a bioinformatics workflow and the provided cloud-based analysis also performs some secondary interpretation by preparing an additional report using the Nextclade software.
Here, results are shown based on human coronavirus 229E spiked into 100 ng of human RNA derived from GM12878 cell line. 10 pg–0.001 pg of viral RNA obtained from ATCC was spiked into the human RNA and human-only and reverse transcription negative controls were carried through the prep to sequencing. Every sample underwent 30 and 35 cycles of PCR to determine sensitivity and specificity guidelines, as well as the expected amplicon drop-out rate for each sample.
Note: The viral RNA from ATCC is generated from cell lines infected with human coronavirus 229E. The RNA supplied is total RNA extracted from the cell lines and includes both human and viral RNA. Therefore, the levels of sensitivity are likely to be higher than those reported here.
The graph below shows the expected sequence balancing if the protocol is followed. Here, equal masses went into the end-prep and native barcode ligation prior to pooling by equal mass for adapter ligation.
Figure 3. Number of reads per sample after native barcode demultiplexing in MinKNOW. All 14 samples were run on a single flow cell.
Sequences from each demultiplexed sample were aligned to the human coronavirus 229E genome using minimap2. The proportion of primary alignments per sample are reported below.
Figure 4. Proportion of reads for each sample aligning to the human coronavirus 229E reference genome.
After 12 hours of sequencing, the number of reads from the negative control samples aligning to the viral reference genome is shown in the graph below and is compared with the absolute number of sequences aligning to the lowest input (0.001 pg).
Figure 5. Absolute number of reads aligning to the human coronavirus 229E reference genome in the negative controls compared with the lowest input of viral RNA. Sequencing was carried out for 12 hours to pick up low levels of sequences assigned to barcodes representing these samples.
To assess the impact of PCR dropout with lowering input viral load and increasing PCR cycles, Mosdepth was used to calculate the proportion of the viral genome covered to different depth levels. These numbers were calculated after 12 hours of sequencing with 14 samples multiplexed.
Figure 6. Coverage and depth of the human coronavirus 229E genome for different input quantities of viral RNA and different cycle numbers after 12 hours of sequencing on a single flow cell.
This is unknown in real clinical samples. The graph below can be used to determine the proportion of the genome that could be covered to a given depth with different numbers of reads (30 cycles) at different input amounts in a background of 100 ng human RNA.
Note: this is absolute depth.
Figure 7. Subsampled sequences to give an indication of the depth of sequencing achievable covering different amounts of the human coronavirus 229E genome. Input quantities and cycle number titrations show that high cycle numbers should be avoided where possible to minimise amplicon drop out.
This protocol provides amplification of low copy number viral genomes in a tiled method with low off-target amplification and minimal cross-contamination between samples. With <60 copies per reaction (0.001 pg viral input) in 100 ng background human RNA, under ideal circumstances, one should expect to cover >75% of the targeted genome at a depth of 200X within under 50,000 reads in the samples with the lowest viral titre and <20,000 reads in those with a higher viral titre.
Flow cell reuse and returns
The Flow Cell Wash Kit protocol is available on the Nanopore Community.
Instructions for returning flow cells can be found here.
Note: All flow cells must be flushed with deionised water before returning the product.
Issues during automation of library preparation
Issues during the sequencing run
We also have an FAQ section available on the Nanopore Community Support section.
If you have tried our suggested solutions and the issue still persists, please contact Technical Support via email (support@nanoporetech.com) or via LiveChat in the Nanopore Community.
Observation | Possible cause | Comments and actions |
---|---|---|
MinKNOW reported a lower number of pores at the start of sequencing than the number reported by the Flow Cell Check | An air bubble was introduced into the nanopore array | After the Flow Cell Check it is essential to remove any air bubbles near the priming port before priming the flow cell. If not removed, the air bubble can travel to the nanopore array and irreversibly damage the nanopores that have been exposed to air. The best practice to prevent this from happening is demonstrated in this video. |
MinKNOW reported a lower number of pores at the start of sequencing than the number reported by the Flow Cell Check | The flow cell is not correctly inserted into the device | Stop the sequencing run, remove the flow cell from the sequencing device and insert it again, checking that the flow cell is firmly seated in the device and that it has reached the target temperature. If applicable, try a different position on the device (GridION/PromethION). |
MinKNOW reported a lower number of pores at the start of sequencing than the number reported by the Flow Cell Check | Contaminations in the library damaged or blocked the pores | The pore count during the Flow Cell Check is performed using the QC DNA molecules present in the flow cell storage buffer. At the start of sequencing, the library itself is used to estimate the number of active pores. Because of this, variability of about 10% in the number of pores is expected. A significantly lower pore count reported at the start of sequencing can be due to contaminants in the library that have damaged the membranes or blocked the pores. Alternative DNA/RNA extraction or purification methods may be needed to improve the purity of the input material. The effects of contaminants are shown in the Contaminants Know-how piece. Please try an alternative extraction method that does not result in contaminant carryover. |
Observation | Possible cause | Comments and actions |
---|---|---|
MinKNOW shows "Script failed" | Restart the computer and then restart MinKNOW. If the issue persists, please collect the MinKNOW log files and contact Technical Support. If you do not have another sequencing device available, we recommend storing the flow cell and the loaded library at 4°C and contact Technical Support for further storage guidance. |
Observation | Possible cause | Comments and actions |
---|---|---|
Pore occupancy <40% | Not enough library was loaded on the flow cell | Ensure you load the recommended amount of good quality library in the relevant library prep protocol onto your flow cell. Please quantify the library before loading and calculate mols using tools like the Promega Biomath Calculator, choosing "dsDNA: µg to pmol" |
Pore occupancy close to 0 | The Ligation Sequencing Kit was used, and sequencing adapters did not ligate to the DNA | Make sure to use the NEBNext Quick Ligation Module (E6056) and Oxford Nanopore Technologies Ligation Buffer (LNB, provided in the sequencing kit) at the sequencing adapter ligation step, and use the correct amount of each reagent. A Lambda control library can be prepared to test the integrity of the third-party reagents. |
Pore occupancy close to 0 | The Ligation Sequencing Kit was used, and ethanol was used instead of LFB or SFB at the wash step after sequencing adapter ligation | Ethanol can denature the motor protein on the sequencing adapters. Make sure the LFB or SFB buffer was used after ligation of sequencing adapters. |
Pore occupancy close to 0 | No tether on the flow cell | Tethers are adding during flow cell priming (FLT/FCT tube). Make sure FLT/FCT was added to FB/FCF before priming. |
Observation | Possible cause | Comments and actions |
---|---|---|
Shorter than expected read length | Unwanted fragmentation of DNA sample | Read length reflects input DNA fragment length. Input DNA can be fragmented during extraction and library prep. 1. Please review the Extraction Methods in the Nanopore Community for best practice for extraction. 2. Visualise the input DNA fragment length distribution on an agarose gel before proceeding to the library prep. In the image above, Sample 1 is of high molecular weight, whereas Sample 2 has been fragmented. 3. During library prep, avoid pipetting and vortexing when mixing reagents. Flicking or inverting the tube is sufficient. |
Observation | Possible cause | Comments and actions |
---|---|---|
Large proportion of unavailable pores (shown as blue in the channels panel and pore activity plot) The pore activity plot above shows an increasing proportion of "unavailable" pores over time. |
Contaminants are present in the sample | Some contaminants can be cleared from the pores by the unblocking function built into MinKNOW. If this is successful, the pore status will change to "sequencing pore". If the portion of unavailable pores stays large or increases: 1. A nuclease flush using the Flow Cell Wash Kit (EXP-WSH004) can be performed, or 2. Run several cycles of PCR to try and dilute any contaminants that may be causing problems. |
Observation | Possible cause | Comments and actions |
---|---|---|
Large proportion of inactive/unavailable pores (shown as light blue in the channels panel and pore activity plot. Pores or membranes are irreversibly damaged) | Air bubbles have been introduced into the flow cell | Air bubbles introduced through flow cell priming and library loading can irreversibly damage the pores. Watch the Priming and loading your flow cell video for best practice |
Large proportion of inactive/unavailable pores | Certain compounds co-purified with DNA | Known compounds, include polysaccharides, typically associate with plant genomic DNA. 1. Please refer to the Plant leaf DNA extraction method. 2. Clean-up using the QIAGEN PowerClean Pro kit. 3. Perform a whole genome amplification with the original gDNA sample using the QIAGEN REPLI-g kit. |
Large proportion of inactive/unavailable pores | Contaminants are present in the sample | The effects of contaminants are shown in the Contaminants Know-how piece. Please try an alternative extraction method that does not result in contaminant carryover. |
Observation | Possible cause | Comments and actions |
---|---|---|
Reduction in sequencing speed and q-score later into the run | For Kit 9 chemistry (e.g. SQK-LSK109), fast fuel consumption is typically seen when the flow cell is overloaded with library (please see the appropriate protocol for your DNA library to see the recommendation). | Add more fuel to the flow cell by following the instructions in the MinKNOW protocol. In future experiments, load lower amounts of library to the flow cell. |
Observation | Possible cause | Comments and actions |
---|---|---|
Temperature fluctuation | The flow cell has lost contact with the device | Check that there is a heat pad covering the metal plate on the back of the flow cell. Re-insert the flow cell and press it down to make sure the connector pins are firmly in contact with the device. If the problem persists, please contact Technical Services. |
Observation | Possible cause | Comments and actions |
---|---|---|
MinKNOW shows "Failed to reach target temperature" | The instrument was placed in a location that is colder than normal room temperature, or a location with poor ventilation (which leads to the flow cells overheating) | MinKNOW has a default timeframe for the flow cell to reach the target temperature. Once the timeframe is exceeded, an error message will appear and the sequencing experiment will continue. However, sequencing at an incorrect temperature may lead to a decrease in throughput and lower q-scores. Please adjust the location of the sequencing device to ensure that it is placed at room temperature with good ventilation, then re-start the process in MinKNOW. Please refer to this FAQ for more information on MinION temperature control. |
Observation | Possible cause | Comments and actions |
---|---|---|
No input .fast5 was found or basecalled | input_path did not point to the .fast5 file location | The --input_path has to be followed by the full file path to the .fast5 files to be basecalled, and the location has to be accessible either locally or remotely through SSH. |
No input .fast5 was found or basecalled | The .fast5 files were in a subfolder at the input_path location | To allow Guppy to look into subfolders, add the --recursive flag to the command |
Observation | Possible cause | Comments and actions |
---|---|---|
No Pass or Fail folders were generated after basecalling | The --qscore_filtering flag was not included in the command | The --qscore_filtering flag enables filtering of reads into Pass and Fail folders inside the output folder, based on their strand q-score. When performing live basecalling in MinKNOW, a q-score of 7 (corresponding to a basecall accuracy of ~80%) is used to separate reads into Pass and Fail folders. |
Observation | Possible cause | Comments and actions |
---|---|---|
Unusually slow processing on a GPU computer | The --device flag wasn't included in the command | The --device flag specifies a GPU device to use for accelerate basecalling. If not included in the command, GPU will not be used. GPUs are counted from zero. An example is --device cuda:0 cuda:1, when 2 GPUs are specified to use by the Guppy command. |
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