TITLE: FLASH-seq UMI protocol (V1)
AUTHORS: Simone   Picelli, Vincent  Hahaut

[DESCRIPTION]
The single-cell RNA-sequencing (scRNA-seq) field has evolved tremendously since the first paper was published back in 2009. While the first methods analysed just a handful of cells, the throughput and performance rapidly increased over a very short timespan. However, it was not until the introduction of emulsion droplets methods, that the robust and reproducible analysis of thousands of cells became feasible. Despite generating data at a speed and a cost per cell that remains unmatched by full-length protocols like Smart-seq, scRNA-seq in droplets still comes with the drawback of addressing only the terminal portion of the transcripts, thus lacking the required sensitivity for comprehensively analyzing the transcriptome of individual cells. Building upon the existing Smart-seq2/3 workflows, we developed FLASH-seq (FS), a new full-length scRNA-seq method capable of detecting a significantly higher number of genes than both previous versions, requiring limited hands-on time and with a great potential for customization.

[BEFORE_START]
The protocol should be carried out in a clean environment, ideally on a dedicated PCR workstation or on a separate bench used only for this purpose. Before starting, clean the bench and wipe any piece of equipment with RNAseZAP or 0.5% sodium hypochlorite. Rinse with nuclease-free water to avoid corrosion of delicate equipment.

Work quickly and preferably on ice.

Reagent mixes should be prepared shortly before use.

Mix thoroughly each mix before dispensing. For higher accuracy use liquid handling robots and/or nanodispensers whenever possible. In FLASH-Seq we use the I.DOT (​​Dispendix) for all the dispensing steps and the Fluent 780 liquid handling robot (Tecan) for sample cleanup, reagent transfers and pooling.

The protocol described below is meant to be carried out in 384-well plates. When using 96-well plates, we recommend using 5 times larger volume to guarantee successful cell sorting and prevent evaporation issues.

Always use LoBind plates and tubes (especially for long-term storage) to prevent the cDNA/DNA from sticking to plastic.

[STEPS]
SECTION: Prepare lysis mix
1. Prepare the following lysis mix:
    ReagentReaction concentrationVolume (µl)384-well plateTriton-X100 (10% v/v)0.2%0.0208.448dNTP mix (25 mM each)6 mM0.240101.376STRT-P1-T31 oligo (100 µM)1.8 mM0.0187.603RNAse inhibitor (40 U/µl)1.2 U/µl0.03012.672DTT (100 mM)1.2 mM0.0125.069dCTP (100 µM)9 mM0.09038.016Betaine (5 M)1 M0.20084.480Nuclease-free water -0.390164.736Total volume (µl) 1.000422.400
Add 1 µL   lysis buffer to each well of a 384-well plate.

Seal the plate with a PCR seal and quickly spin it down to collect the lysis buffer to the bottom.

Proceed immediately to the next step or store the plate at -20 °C  long-term. Plates that are going to be used on the same day can be stored in the fridge or kept on wet ice.


SECTION: Sample collection
2. Sort single cells into 384-well plates containing 1 µL  lysis buffer.

Seal the plate with an aluminium seal. If processing multiple plates at once, keep each of them on dry ice until ready to transfer them all at -80 °C for long-term storage. Plates containing single cells should ideally be processed within 6 months.
SECTION: Cell lysis
3. Remove the plates from the -80 °C  freezer and check that the aluminium seal is still intact. If damaged or not sticking to the plate anymore, wait a few minutes for the plate to partially thaw, remove the damaged foil and replace it with a new one.

Place the plate in a thermocycler with a heated lid and incubate for 3 min at 72 °C, followed by a 4 °C hold step.

Spin down any condensation droplets that may have formed during the incubation and return the plate to a cool rack. Proceed quickly to the next step. If not ready with the RT-PCR mix, keep the plate on the cool rack at all times.
SECTION: RT-PCR reaction
4. While the plate is in the thermocycler, prepare the following RT-PCR mix:
    ReagentReaction concentrationVolume (µl)384-well plateDTT (0.1 M)4.8 mM0.238100.531MgCl2 (1 M)9.2 mM0.04619.430Betaine (5 M)800 mM0.800337.920RNAse inhibitor (40 U/µl)0.8 U/µl0.09640.550SuperScript IV (200 U/µl)2.00 U/µl0.05021.120KAPA HiFi HotStart Ready Mix (2 x)1 x2.5001056.000TSO-UMI (100 µM)1.84 µM0.09238.861Tn5_ISPCR- F (100 µM)0.5 µM0.02510.560DI-PCR-P1A-R (100 µM)0.1 µM0.0052.112Nuclease-free water-0.14862.515Total volume (µl)4.0001689.600
Add 4 µL RT-PCR mix into each well of the 384-well plate.

Seal the plate with a PCR seal, gently vortex and spin down to collect the liquid to the bottom.

Place it in a thermocycler with heated lid and start the following RT-PCR program:
     StepTemperatureTimeCyclesRT50ºC60 min1 xPCRinitial denaturation98ºC3 min1 xdenaturation98ºC20 sec20-24 x*annealing65ºC20 secelongation72ºC6 min15ºCHold
 
 

SECTION: cDNA purification
5. For the Magnetic beads working solution preparation users are referred to the standard FLASH-seq protocol (section 5).

Remove the Sera-Mag SpeedBeads™ working solution (or AMPure XP beads or SPRI beads when using a commercial solution) from the 4 °C storage and equilibrate it at room temperature for 15 min.
 


Add a 0.6 x ratio of Sera-Mag SpeedBeads™ working solution to each well (i.e., 9 μl beads for each 15 μl cDNA). Mix thoroughly by pipetting or vortexing.

Incubate the plate off the magnetic stand for 5 min at 4 Room temperature.

Place the plate on the magnetic stand and leave it for 5 min or until the solution appears clear.

Remove the supernatant without disturbing the beads.

Performing an ethanol wash is not required but possible. We do not recommend it when working in 384-well plates and with liquid handling robots to avoid cDNA losses.

Remove the plate from the magnetic stand, add 15 µLnuclease-free water and mix well by pipetting or vortexing to resuspend the beads. Do not let the bead pellet to dry completely, as that lowers the final cDNA yield!

Incubate 2 min off the magnetic stand.

Place the plate back on the magnetic stand and incubate for 2 min or until the solution appears clear.

Remove 14 µL of the supernatant and transfer it to a new plate.
 

SECTION: Quality control check (highly recommended!)
6. Check the cDNA quality on Agilent Bioanalyzer High Sensitivity DNA chip. Follow the instructions as described in the user manual. A good sample is characterized by a low proportion of fragments <400 bp, absence of residual primers (ca. 100 bp) and an average cDNA size of 1.8–2.2 Kb.

 
Example of amplified cDNA from a single HEK 293T cell (21 cycles).
SECTION: cDNA quantification
7. For the cDNA quantification users are referred to the standard FLASH-seq protocol (section 8).
SECTION: Plate normalisation
8. Prepare a normalization plate by adding 1 µL of purified cDNA and nuclease-free water to a final concentration of 100 pg/μl.
SECTION: Tagmentation and indexing PCR
9. 
 

Prepare the tagmentation mix as described below:
  ReagentVolume (µl)ATM (Amplification Tagment Mix)0.1 to 0.2*TD (Tagmentation DNA buffer)1Total volume (µl)1.1 to 1.2

Dispense 1.2 µL tagmentation mix in a new 384-well plate.

Add 1 µL normalized cDNA (100 pg/μl) to each well containing the Tagmentation Mix.

Seal the plate, vortex, spin down, and carry out the tagmentation reaction: 55 °C for 8 min, 4 °C hold. Upon completion proceed immediately to the next step.

Add 0.5 µL 0.2% SDS to each well. Seal the plate, vortex, spin down and incubate 5 min at room temperature. Do not put the plate back on ice.

Add 1 µL N7xx + S5xx Index Adaptors (5 micromolar (µM) each).

Add 1.5 µL  Nextera PCR Mix (NPM) to each well:

Seal the plate, vortex, spin down, and place it in a thermocycler and carry out the Enrichment PCR Reaction: 
     StepTemperatureTimeCyclesGap filling72ºC3 min1 xenrichment PCRinitial denaturation95ºC30 sec1 xdenaturation95ºC10 sec14 xannealing55ºC30 secelongation72ºC30 sec15ºChold

 

SECTION: Library cleanup and quantification
10. Take an aliquot from each sample for the final library cleanup (the rest can be stored long-term at -20 °C) and transfer it to a 1.5-ml Eppendorf tube.

Remove the Sera-Mag SpeedBeads™ working solution (alternatively: AMPure XP beads or SPRI beads) from the 4 °C storage and equilibrate it at 4 Room temperature for 15 min.

Add Sera-Mag SpeedBeads™ working solution to a final ratio of 0.8 x and mix well to homogenization.

Incubate the tube off the magnetic stand for 5 min at room temperature.

Place the tube on the magnetic stand and leave it for 5 min or until the solution appears clear.

Remove the supernatant without disturbing the beads.

Recommended: wash the pellet with 1 mLof 80% v/v ethanol. Incubate 30 s without removing the tube from the magnetic stand.

Remove any trace of ethanol and let the bead pellet dry for 2 min or until small cracks appear. Do not cap the tube or remove it from the magnetic stand during this time.

Remove the tube from the magnetic stand, add 50 µL nuclease-free water and mix well by pipetting or vortexing to resuspend the beads.

Incubate 2 min off the magnetic stand.

Place the tube back on the magnetic stand and incubate for 2 min or until the solution appears clear.

Remove 49 µL of the supernatant and transfer it to a new 1.5-ml LoBind tube. Store the cDNA in a -20 °C freezer long-term or until ready for sequencing.

Check the final library size on the Agilent Bioanalyzer. Follow the instructions as described in the High Sensitivity DNA chip user manual.

Use Qubit fluorometer or a similar fluorimetric assay to quantify the library.

Use the average size indicated on the Bioanalyzer and the concentration reported after Qubit measurement to determine the exact molarity required for sequencing.

 
Example of a sequencing-ready library from a pool of HEK 293T cells. Average size around 800 bp.
SECTION: Pooling and sequencing
11. The purified library can be sequenced on any Illumina sequencer. Follow the specifications reported for each instrument. Depending on your application, single-end or paired-end reads (recommended) can be used. The read 1 length should not be <75 bp and preferably ≥100 bp. We regularly sequence FS-UMI libraries on a NextSeq550 using 100-8-8-50 read mode but preliminary data indicate that 90-8-8-60 or 80-8-8-70 read modes might lead to better results.
SECTION: Data Processing
12. These instructions briefly describe the data processing of the sequencing results. The final pipeline will likely have to be adapted to the question at hand. The following lines assume that all the programs and their dependencies are installed on your machine and that the data are paired-end reads. Some values, such as the number of threads and RAM usage may have to be adapted to your machine settings. 

The analysis of internal / UMI reads from full-length single-cell RNA-sequencing protocol is still in its infancy. This pipeline is therefore likely to evolve in the future. Please refer to the work of Hagemann-Jensen et al which first described this approach in SMART-seq3 for additional information. 

We present this analysis for internal and UMI reads separately. 

Prerequisites: bcl2fastq, umi_tools, STAR, samtools, featurecounts, bbmap (optional), IGV (optional)
SECTION: Data Processing
12.1. Sample demultiplexing

Sequencing results will be delivered as demultiplexed FASTQ or raw bcl2 files. To convert bcl2 files to FASTQ, bcl2fastq program (Illumina) can be used. 
 


When sequencing on a Nextseq500 instrument, the sample sheet should contain the following information in a csv file:
 
Illumina Experiment Manager can be used to assist you in creating the sample sheet. 

We recommend exploring the barcode combinations left in the undetermined reads looking to confirm that all the cells have been properly demultiplexed.
 
as well as the read distribution between samples:
 
  
SECTION: Data Processing
12.2. Index the genome

The reference genome needs to be indexed prior to any mapping. The FASTA and GTF references can be obtained from ENSEMBL, Gencode, UCSC, ... 
The optimal sjdbOverhang value should be set to the max(mate length) - 1.

 

SECTION: Data Processing
12.3. UMI extraction

The UMI sequence is located in read 1 (R1). However, a smaller proportion of UMI sequences can also be observed in read 2 (R2) due to tagmentation events occurring upstream of the UMI sequence, in the 5’ adapter. The following lines allow you to retrieve UMI sequences from both reads. 
Assuming that the spacer sequence is “CTAAC”:
 

SECTION: Data Processing
12.4. Separate internal reads from UMI reads
 

SECTION: Data Processing
12.5. Reconcile UMI reads with reference

UMI reads in read 1 are stranded (=same orientation as the reference). However, due to their sequencing, UMI reads originating from the read 2 are in opposite directions compared to the reference. 
To reconcile both read type orientations, read 2 of “UMI in read 2” reads are to be considered as read 1. Similarly, read 1 from “UMI in read 2” are to be considered as read 2.
 
These orientation differences are the reason why we cannot simply look simultaneously for UMI in both R1 and R2 using umi_tools.
SECTION: Data Processing
12.6. FASTQ Trimming (optional)

If you observe sequencing primer left-overs after extracting the UMI sequence, the FASTQ files can be trimmed using BBDUK or Trimmomatic.
 
In the following line we treat UMI and internal reads separately. Depending on your needs, they can be used together as well.
SECTION: Data Processing
12.7. Mapping UMI reads

The FASTQ file can then be mapped onto the reference genome. Example for one sample, use a loop or parallelise this task to process all the cells:
 

SECTION: Data Processing
12.8. Mapping Internal reads
 

SECTION: Data Processing
12.9. Data Visualization (optional)

Once the reads have been mapped we highly recommend using the Integrated Genome Viewer (IGV) to visualize the mapping results and ensure that the results make sense. As a quick check-up visualize a few housekeeping genes (i.e., ACTB, GAPDH, …) and cell specific markers to look for reads mapping to exon, intron, exon-intron junctions. UMI reads should mainly map to the 5’ of the gene in concordant orientation. 
Look for abnormalities such as read piles falling in intergenic or centromeric regions.
No single-cell RNA sequencing protocol is perfect and non-specific priming, genomic DNA contaminations, … can happen but should represent rare events. 
Recurrent soft-clipping could also indicate the presence of sequencing adaptor left-overs that could affect the mapping rate. 

SECTION: Data Processing
12.10. Count Matrix - UMI

 

SECTION: Data Processing
12.11. Count Matrix - Internal

 

SECTION: Data Processing
12.12. Post-Processing

The post-processing steps will vary depending on the question at hand. The online book “Orchestrating Single-Cell Analysis with Bioconductor” (https://bioconductor.org/books/release/OSCA/) is a gold mine of information that can be used to help you design your own pipeline. Alternatively, Seurat (R, https://satijalab.org/seurat/) or scanpy (python, https://scanpy.readthedocs.io/en/stable/) provide tools compatible with FLASH-Seq data.