Abstract
In patients with monoclonal gammopathies, tumor B cells or plasma cells secrete a monoclonal antibody (M protein) that not only serves as a biomarker for tumor tracking but can also cause potentially life-threatening organ damage. This damage is driven by the patient-specific sequence of the M protein. Methods for sequencing M proteins have been limited by their high cost and time-consuming nature, and while recent approaches using next-generation sequencing or mass spectrometry offer advancements, they may require tumor cell sorting, are limited to subsets of immunoglobulin genes or patients, and/or lack extensive validation. To address these limitations, we have recently developed a novel method, termed Single Molecule Real-Time Sequencing of the M protein (SMaRT M-Seq), which combines the unbiased amplification of expressed immunoglobulin genes via inverse PCR from circularized cDNA with long-read DNA sequencing, followed by bioinformatic and immunogenetic analyses. This approach enables the unambiguous identification of full-length variable sequences of M protein genes across diverse patient cohorts, including those with low tumor burden. Our protocol has undergone technical validation and has been successfully applied to large patient cohorts with monoclonal gammopathies. Here we present the step-by-step protocol for SMaRT M-Seq. By enabling the parallel sequencing of M proteins from a large number of samples in a cost-effective and time-efficient manner, SMaRT M-Seq facilitates access to patient-specific M protein sequences, advancing personalized medicine approaches and enabling deeper mechanistic studies in monoclonal gammopathies.
Keywords: single-molecule real-time sequencing, NGS, monoclonal gammopathies, immunoglobulin sequencing, monoclonal component
Introduction
Monoclonal gammopathies arise from the tumoral transformation of a single B cell or plasma cell, which produces a specific antibody. This transformation results in a clonal population of identical cells, all secreting the same monoclonal antibody, known as the M protein, into biological fluids [1–3]. The unique sequence of the M protein is shaped by specific V(D)J gene rearrangements and somatic hypermutation events in the transformed cell, making each patient’s M protein sequence distinct [4]. Notably, certain M protein sequences can exhibit pathological behaviors, through amyloid formation, aggregation, auto-immunity, or other poorly identified mechanisms, leading to potentially fatal multi-organ damage, as observed in immunoglobulin light chain (AL) amyloidosis and other monoclonal gammopathies of clinical significance (MGCS) [5–7].
Determining the patient-specific M protein sequence can enable highly sensitive and specific tumor monitoring during therapy, through the detection of either clonotypic peptides by mass spectrometry or clonotypic reads by allele-specific PCR or next-generation sequencing (NGS) [8–10]. Furthermore, sequencing large cohorts of MGCS patients could reveal recurring mutations or sequence features in expressed immunoglobulin genes, enhancing our mechanistic understanding of these conditions and improving diagnostic accuracy [11–14].
Historically, obtaining the full-length sequence of M protein variable regions has been challenging due to the absence of prior knowledge regarding the V(D)J genes expressed by the patient’s tumor, as well as the presence of polyclonal B cells and plasma cells within the tumor-containing compartment, which also express immunoglobulin genes. Traditional M protein sequencing approaches have relied on amplification, cloning, bacterial transformation, colony selection, and Sanger sequencing [15–18]. However, these methods are laborious, time-consuming, and costly, limiting their scalability.
More recently, NGS-based methods based on amplification of expressed immunoglobulin genes via multiplex PCR or 5’-rapid amplification of cDNA ends (5’-RACE)-PCR and short-read DNA sequencing have been introduced and successfully applied to study immunoglobulin gene sequence peculiarities in patients with MGCS [11, 19–21]. However, data on their accuracy, sensitivity, and repeatability are limited and some of these approaches can be applied only to a subset of immunoglobulin genes or patients. Another step forward was the development of a computational approach to extract complete rearranged IGVL-IGJL sequences from untargeted RNA sequencing data, thus also enabling retrospective analysis of transcriptomics datasets initially generated for other purposes [22]. However, this approach is constrained by the need for bone marrow tumor cell sorting and at present can only be applied to immunoglobulin light chain sequences. Additionally, de novo amino acid sequencing via mass spectrometry is an invaluable option to obtain full-length sequence information of M proteins from patients’ sera, without the need of invasive bone marrow sampling. This method also entails the identification of clonotypic peptides for sensitive and personalized tumor-tracking over time. On the other hand, mass spectrometry-based methods are currently unsuitable for cases with low-level or light chain-only M proteins [23, 24].
To overcome these limitations, we have developed and validated a novel method, termed SMaRT M-Seq, which enables accurate and reproducible sequencing of the full-length variable regions of M proteins from a large number of biological samples in parallel. SMaRT M-Seq integrates unbiased amplification of expressed immunoglobulin genes through inverse PCR of circularized cDNA with long-read DNA sequencing, coupled with comprehensive bioinformatics and immunogenetics analyses [25] (Fig. 1). In the original study introducing SMaRT M-Seq, the base-pair level accuracy, sensitivity, repeatability, and throughput of this method have been demonstrated through (i) the comparison with standard methods of cloning and Sanger sequencing; (ii) the analysis of contrived samples mimicking bone marrow sample with progressively smaller plasma cell tumors; (iii) the analysis of technical pentaplicates of bona fide bone marrow samples from patients with AL amyloidosis; (iv) the study of a cohort of 89 consecutive patients with suspected or confirmed AL amyloidosis analyzed in parallel in one sequencing round [25]. Of note, SMaRT M-Seq succeeded in identifying the clonal light chain sequence even in patients with low-tumor-burden light-chain-only M protein, and/or M protein levels below the detection limits of standard diagnostic assays [25]. In another study, SMaRT M-Seq enabled to obtain the clonal light chain sequence from a cohort of 220 patients with AL amyloidosis or multiple myeloma, contributing to the identification of an N-glycosylation hotspot within the framework region 3 of clonal κ light chain associated with AL amyloidosis [12]. Initially designed for sequencing clonal light chain genes starting from bone marrow, SMaRT M-Seq is also adaptable for sequencing heavy chains and can be applied to other biological samples harboring tumoral B cells or plasma cells, such as peripheral blood [26]. However, the method strictly requires intact RNA from a tumor-containing sample and therefore cannot be applied to non-viable cells. Also, SMaRT M-Seq is currently unable to sequence immunoglobulin constant regions.
Figure 1.
Workflow of SMaRT M-Seq. Schematic representation of the workflow of SMaRT M-Seq (original description of the SMaRT M-Seq technique in reference [25]. MNCs are obtained through a standard density gradient centrifugation from the BM of a patient with a monoclonal gammopathy (1). Total RNA is extracted from MNCs (2), mRNA is retrotranscribed using an Anchored Oligo-dT and double stranded complementary DNA (dscDNA) is synthetized and circularized through a ligation (3). A first primer pair (in black) annealing to the constant region of the isotype of interest and containing an adapter sequence in the 5’ region (in orange) is employed in the context of an inverse PCR using a high-fidelity DNA polymerase to obtain an amplicon comprising the entire variable region (4). A second primer pair (in orange) annealing to the adapter sequence and containing sample ID barcodes in the 5’ region (in cyan) is employed in the contest of a standard PCR to generate patient-specific symmetric barcoded amplicons (5), which are finally pooled (6). This pool is used for library preparation with SMRTbell adapters (7) and subjected to single-molecule real-time sequencing (8). Bioinformatics methods are employed to analyze raw long reads and to extract demultiplexed circular consensus sequences (CCS) (9). Immunoinformatics analyses, including Vidjil and IMGT/HighV-QUEST, are used to analyze repertoires and identify dominant clonal sequences (10). Created in BioRender. Nuvolone, M. (2024) BioRender.com/t05h871.
In this article, we present a detailed step-by-step protocol for performing SMaRT M-Seq to sequence the full-length variable regions of clonal light and/or heavy chains from the bone marrow of patients with monoclonal gammopathies. This protocol has been successfully employed starting from bone marrow, peripheral blood, fluorescence-activated cell sorted or immunopurified B cells or plasma cells from patients with MGUS, multiple myeloma, AL amyloidosis, and other MGCS, and it holds potential for broader applications in other monoclonal gammopathies or related clinical and experimental settings. The protocol necessitates access to a Pacific Biosciences (PacBio) NGS platform. This is an NGS platform based on single-molecule real-time sequencing (SMRT, after which the SMaRT M-Seq technique was named), enabling accurate and high-throughput long-read sequencing. On the other hand, other long-read DNA sequencing platforms may also be suitable.
The availability of SMaRT M-Seq facilitates access to patient-specific M protein sequences, advancing personalized medicine approaches and enabling in-depth mechanistic studies in the context of monoclonal gammopathies of clinical significance.
Materials and reagents
Biological materials
Human bone marrow aspirate (in EDTA or heparin)
Note: The protocol can be applied also to other biological samples harboring tumoral B cells or plasma cells, such as peripheral blood [26]. Cryo-preserved MNCs or buffy coats from bone marrow or plasma cells, as well as fluorescence-activated cell-sorted or immunopurified B cells or plasma cells, are also suitable starting samples. Due to the requirement of intact RNA for the inverse PCR, non-viable cells or fixed cells are unsuited as starting material for SMaRT M-Seq.
Reagents
Dulbecco’s phosphate-buffered saline (DPBS) without magnesium and calcium (e.g., Dominique Dutcher, catalog number: MS02341001)
Density gradient medium (e.g., Lympholyte–H, CEDARLANE, catalog number: CL5020)
Fetal bovine serum (e.g., FBS South America, gibco, catalog number: 10270-106)
EDTA solution pH 8.0 (0.5M) (e.g., EuroClone, catalog number: EMR034500)
Trypan blue, solution 0.4% (e.g., Sigma Aldrich, catalog number: 93595-250mL)
TRIzol (Life technologies, catalog number: 15596026)
Chloroform anhydrous—stabilized with amylene (e.g., Carlo Erba Reagents, catalog number: P02410A10)
Isopropanol (2-propanol) (e.g., Fisher Bioreagents, catalog number: BP2618-1)
Ethanol 100% (e.g., Carlo Erba reagents, catalog number: 308602)
Ethanol 75%
Ethanol 70%
DNase- and RNase-free water (e.g., VWR, catalog number: E476-100 mL)
Agarose (e.g., VWR, catalog number: 438792U)
DNA visualization dye (e.g., SYBR Safe DNA Gel Stain, invitrogen, catalog number: S33102)
TAE 1X buffer solution (e.g., Biosolve, catalog number: 0020502323BS)
Loading dye solution (e.g., MassRuler DNA Loading Dye (6X), Thermo Scientific, catalog number: R0621)
1 Kb Molecular weight marker (e.g., GeneRuler 1Kb DNA Plus Ladder, Thermo Scientific, catalog number: SM0311)
Anchored Oligo-(dT)20 Primer – 50 µg (2.5 µg/µL) (Invitrogen, catalog number: 12577011)
RNaseOUT Recombinant Ribonuclease Inhibitor (40 U/µL) (Invitrogen, catalog number: 10777019)
dNTP Set 100 mM (dATP, dCTP, dGTP, dTTP) (Invitrogen, catalog number: 10297018)
Superscript II Reverse transcriptase (4x10.000 U) (200 U/µL), including 5X first strand buffer and DTT 0.1 M (Invitrogen, catalog number: 18064014)
5X Second strand buffer (Invitrogen, catalog number: 10812014)
RNase H (120 U) (2 U/µL) (Invitrogen, catalog number: 18021071)
E. coli DNA polymerase I (1000 U) (10 U/µL) (Invitrogen, catalog number: 18010017)
E. coli DNA ligase (100 U) (10 U/µL) (Invitrogen, catalog number: 18052019)
T4 DNA polymerase (250 U) (5 U/µL) (Invitrogen, catalog number: 18005017)
Phenol-chloroform-isoamyl alcohol mixture (25:24:1) (Sigma Aldrich, catalog number: 77617-100mL).
STE buffer (Sigma Aldrich, catalog number: 102607365)
Ammonium acetate 7.5 M (Sigma Aldrich, catalog number: A2706)
T4 DNA ligase (100 U) (1 U/µL) and buffer (Invitrogen, catalog number: 15224017)
Q5 High-Fidelity 2X Master Mix (New England Biolabs, catalog number: M0544S)
Universal forward and reverse target-specific primers (See Table 1)
F/R barcoded universal primers plate V2 (PacBio, catalog number: 101-629-100)
Table 1.
Sequences of the primers used for inverse PCR.
| PRIMER | PRIMER SEQUENCE (5' -> 3') |
|---|---|
| Universal κ-CLA | /5AmMC6/GCAGTCGAACATGTAGCTGACTCAGGTCACTGCTCATCAGATGGCGGGAA |
| Universal κ -CLB | /5AmMC6/TGGATCACTTGTGCAAGCATCACATCGTAGAAGAGCTTCAACAGGGGAGA |
| Universal λ-CLA | /5AmMC6/GCAGTCGAACATGTAGCTGACTCAGGTCACAGTGTGGCCTTGTTGGCTTG |
| Universal λ -CLB | /5AmMC6/TGGATCACTTGTGCAAGCATCACATCGTAGGTCACGCATGAAGGGAGCAC |
| Universal α-CH1 | /5AmMC6/GCAGTCGAACATGTAGCTGACTCAGGTCACGGCTCCTGGGGGAAGAAGCCC |
| Universal α-CH3 | /5AmMC6/TGGATCACTTGTGCAAGCATCACATCGTAGCCTTCTCCTGCATGGTGGGCC |
| Universal γ-CH1 | /5AmMC6/GCAGTCGAACATGTAGCTGACTCAGGTCACACCGGTTCGGGGAAGTAGTC |
| Universal γ-CH3 | /5AmMC6/TGGATCACTTGTGCAAGCATCACATCGTAGCTTCTCATGCTCCGTGATGC |
| Universal μ-fwd | /5AmMC6/GCAGTCGAACATGTAGCTGACTCAGGTCACAAAGTCCAGCACCCCAACG |
| Universal μ-rev | /5AmMC6/TGGATCACTTGTGCAAGCATCACATCGTAGCCTCTCAGGACTGATGGGAA |
κ-CLA, κ -CLB, λ-CLA, λ-CLB, α-CH1, α-CH3, γ-CH1 and γ-CH3 are from16; μ-fwd and μ-rev were designed using Primer Blast to target a conserved region of the currently known IGHC-μ alleles. The/5AmMC6/(namely, 5’Amino Modifier C6) is a 5’ modification necessary for PacBio NGS sequencing.
Kits
MinElute Gel Extraction kit (QIAGEN, catalog number: 28604)
Qubit dsDNA HS assay kit (Invitrogen, catalog number: Q32854)
Solutions and recipes
FACS Buffer, to be stored at 4°C.
| Reagent | Final concentration | Volume (mL) |
|---|---|---|
| DPBS 1X—500 mL | 488 | |
| Fetal bovine serum (FBS) | 2% | 10 |
| EDTA pH 8.0 (0.5 M) | 2 mM | 2 |
Laboratory supplies
Gloves
50-mL conical tubes (any type)
15-mL conical tubes (any type)
1.5-ml conical microtubes (any type)
1.5-mL DNA LoBind tubes (Eppendorf, catalog number: 022431021)
70-μm cell strainers (e.g., VWR, catalog number: 732-2758)
Serological pipets (any type)
Sterile filter tips (DNase- and RNase-free) for micropipettes (any type)
Cell counting chamber (e.g., Glasstic Slide 10 with Grids, KOVA, catalog number: 87144E)
Glass containers (e.g., beakers, glass bottles)
Eight-tube strip for 0.2-mL PCR tubes or 96-well plates (any type)
Equipment
Blue-light transilluminator (any type)
Biological safety cabinet (any type)
Centrifuge with a swinging bucket rotor and capable of reaching 450 × g, using 50-mL conical tubes and microplates (e.g., Eppendorf, catalog number: 5811)
Chemistry hood (any type)
Electrophoretic cell (e.g., Bio-Rad, catalog number: 1645056)
−80°C Freezer (any type)
−20°C Freezer (any type)
Ice maker (any type)
Light optical microscope (any type)
Microcentrifuge (e.g., VWR Ministar whiteline, catalog number: 521-2161)
Micropipettes (p10, p20, p100, p200, p1000) (any type)
Micro-pipettors (any type)
Microwave oven or hot plate (any type)
Nanodrop (spectrophotometer) (Thermo Fisher, ND-1000 UV/Vis)
Qubit (fluorometer) (Thermo Fisher, catalog number: Q33238)
Refrigerated microcentrifuge (e.g., Eppendorf, catalog number: 5811)
Refrigerator (2–8°C) (any type)
Scales (any type)
Thermocycler (e.g., Bio-Rad, catalog number: 3600037)
ThermoMixer (e.g., Eppendorf, catalog number: 5382)
Vortex (any type)
Software
Vidjil—(http://www.vidjil.org)
IMGT/HighV-QUEST—(https://www.imgt.org/IMGT_vquest/input)
Oligonucleotides
Primer sequences are listed in Table 1.
Procedure
A. MNC separation and lysis
The starting material of the protocol is represented by primary mononuclear cells (MNCs), which are isolated by a standard density gradient centrifugation of bone marrow (BM) aspirate (refer to step 1 of Fig. 1). The procedural steps in performing a BM aspiration have been described in detail previously [27], and a video demonstrating the procedure for BM aspiration from the posterior iliac crest is available [28]. The MNCs obtained through this process are subsequently lysed in TRIzol and stored at −80°C. This aliquot will then be used for RNA extraction (Section B). Refer to the note at the end of this section for alternatives to TRIzol.
Caution: Work under a biological safety cabinet due to the use of hazardous samples (human BM aspirate) and toxic reagents (TRIzol).
Starting from BM aspiration, transfer the sample into a 15-mL or 50-mL conical tube and dilute it with two volumes of DPBS;
Considering the obtained volume, carefully stratify the diluted sample in a 1:1 proportion in a 15-mL or 50-mL conical tube containing Lympholyte–H (Fig. 2A);
Centrifuge for 30 minutes at 450 × g at room temperature in a swinging bucket rotor with brake off;
If present, carefully remove and discard any visible tissue particles floating in the top layer of the sample, to avoid aspirating them during the collection of the MNC layer.
Slowly introduce the serological pipette inside the tube to reach the MNC layer (Fig. 2A) and carefully aspirate the MNC layer, paying attention not to aspirate any Lympholyte-H, and transfer it into a new 15-mL or 50-mL conical tube;
To remove any residual Lympholyte-H, wash the MNC layer by filling the 15-mL or 50-mL conical tube containing the MNC layer with FACS buffer;
Centrifuge for 10 minutes at 450 × g at 4°C, with brake on;
Discard the supernatant and resuspend the MNCs pellet in 10 mL of FACS buffer and filter the cell suspension by using a sterile 70-μm cell strainer;
For MNCs counting, pipette 10 µL of the cell suspension and 90 µL of Trypan Blue (1:10 dilution) in a 1.5-mL conical microtube and mix thoroughly;
Pipette 10 µL of this mixture into a cell counter chamber and count the number of MNCs within two non-consecutive squares of the grid using a light microscope (e.g. counting the upper left and bottom right squares). If cells are highly concentrated, dilute the cell suspension (obtained in step 8) in 20 mL of FACS buffer;
Divide the number of cells counted by the number of counted squares (2); multiply the obtained number by the dilution factor (i.e. 10) and multiply by 104 (hemacytometer factor) to calculate the number of cells per mL of cell suspension. The total number of MNCs is finally obtained multiplying the number of cells per mL (the concentration) by the number of mL of the cell suspension (total volume, i.e. 10 mL);
Take an aliquot corresponding to 1x107 cells;
Centrifuge for 10 minutes at 450 × g at 4°C, and lyse the cell pellet in 1 mL of TRIzol;
Transfer the lysate in a 1.5-mL tube and store the sample at −80°C.
Figure 2.
Critical centrifugation and phase separation steps of the SMaRT M-Seq protocol. A. MNCs isolation by density gradient centrifugation. Stratification of DPBS-diluted BM sample upon Lympholyte–H before (left) and after (right) standard density gradient centrifugation. After centrifugation, the stratified sample shows: a pellet including red blood cells, neutrophils and eosinophils (at the bottom); a transparent middle phase containing Lympholyte-H; an interphase ring consisting of platelets and MNCs, including lymphocytes and monocytes; and an upper phase containing plasma. DPBS: Dulbecco’s phosphate buffered saline; MNCs: mononuclear cells; PMCs: polymorphonuclear cells. B. Phase separation of TRIzol lysate after density gradient centrifugation. After the centrifugation, the TRIzol mixture separates as here shown: the aqueous, upper phase containing the RNA, the white interphase containing the DNA fraction, and the pink organic phase including proteins at the bottom. C. Phase separation after addition of phenol-chloroform-isoamyl alcohol. After centrifugation, the stratified sample separates as here shown: an aqueous, upper phase containing the cDNA, and a lower yellowish phase containing phenol-chloroform-isoamyl alcohol residues.
Pause point: The TRIzol sample can be stored at −80°C for several months.
Critical: Acceleration/deceleration braking ramps should be set at the minimum to enable slow acceleration/deceleration and favor the formation and maintenance of the density gradient.
Note: To improve the quality of the MNC isolation procedure, it is possible to strain the BM sample using a sterile 70-μm cell strainer, to remove possible tissue particles or clots, before diluting the sample with DPBS (step 1).
Note: Lympholyte–H is selected due to its ability to provide a MNC layer devoid of granulocytes. If substituting with an alternative commercially available reagent, ensure that this specific property is retained and adapt the subsequent steps of gradient centrifugation following the manufacturer’s instructions.
Note: Due to the deactivation of the acceleration and brake functions, the actual centrifugation time of step 3 is higher than 30 minutes.
Note: As an alternative method for MNC layer collection (step 5), discard the plasma: DPBS fraction by aspiration and then collect the MNC layer using a serological pipette.
Note: If less than 1x107 MNCs are retrieved, lyse all the obtained cells in a single TRIzol aliquot.
Note: As an alternative to TRIzol-based MNCs lysis, storage and subsequent RNA extraction, commercially available RNA extraction kits (e.g. RNeasy Mini kit, QIAGEN, catalog number: 741049; RNeasy Plus Micro kit, QIAGEN, catalog number: 74034) can be used. Lyse the MNC aliquot (obtained in step 13) in the lysis buffer provided by the selected kit and follow the manufacturer’s instructions for RNA extraction.
B. RNA extraction by TRIzol
The TRIzol aliquot of MNCs obtained from the BM sample is used for the RNA extraction (refer to step 2 of Fig. 1). The obtained RNA will serve as the input material for double-stranded cDNA (dscDNA) synthesis (Section C). If the MNCs were lysed using a reagent other than TRIzol (step 13), proceed with RNA extraction according to the selected kit and continue the protocol from step 27.
Caution: Work under a chemical hood due to the toxicity of TRIzol and chloroform.
-
15.
Thaw the TRIzol aliquot of MNCs on ice;
-
16.
Incubate for 5 minutes on ice to ensure complete dissociation of the nucleoprotein complex;
-
17.
Add 200 µL of chloroform for each mL of TRIzol used, vortex vigorously for 15 seconds, and incubate for 2–3 minutes;
-
18.
Centrifuge the sample for 15 minutes at 12,000 × g at 4°C;
-
19.
Transfer the aqueous phase into a new 1.5-mL tube, taking care not to aspirate the phases below (Fig. 2B);
Note: Alternatively, after step 19 RNA extraction can be performed using RNeasy Mini kit (QIAGEN, catalog number: 741049) or RNeasy Plus Micro kit (QIAGEN, catalog number: 74034). Choose the kit according to the number of MNCs lysed in TRIzol. For this purpose, add 1 volume of 100% ethanol to the aqueous phase and briefly vortex the sample. Proceed with RNA extraction following the manufacturer’s instructions from step 3 of the RNeasy Mini Kit (version November 2021—transferring the sample in the RNeasy Mini spin column) and step 4 of the RNeasy Plus Micro Kit (version March 2016—transferring the sample in the RNeasy MinElute spin column).
Pause point: The sample can be stored at −20°C overnight.
-
20.
Add 500 µL of isopropanol to the aqueous phase, vortex, and incubate for 10 minutes on ice;
-
21.
Centrifuge for 10 minutes at 12,000 × g at 4°C;
-
22.
Remove and discard the supernatant, keeping the tube on ice. The total RNA precipitate is visible as an opaque white pellet at the bottom of the tube;
-
23.
Overlay the pellet with 1 mL of cold 75% ethanol;
-
24.
Centrifuge for 5 minutes at 7,500 × g at 4°C;
-
25.
Carefully remove and discard the supernatant by aspirating it with a micropipette;
Critical: The pellet obtained after the centrifugation performed in step 22 is not always clearly visible. To ensure the pellet is not lost, centrifuge the sample placing the tube in the centrifuge in a known orientation. Then, after the centrifugation, aspirate the supernatant using a tip directed opposite to where the pellet is expected to be. Ethanol residue can cause RNA degradation. Allow the ethanol to evaporate for 10 minutes to avoid this problem.
-
26.
Gently resuspend the pellet in 20–50 µL of DNase- and RNase-free water;
-
27.
Assess the RNA quality and yield by Nanodrop spectrophotometer;
Note: It is recommended to assess the integrity of the extracted RNA by agarose gel electrophoresis or capillary electrophoresis before proceeding with dscDNA synthesis (Fig. 3).
Figure 3.
Agarose gel electrophoresis of RNA extracts from representative patients. RNA extracts of nine representative patients resolved by 1% agarose gel electrophoresis. The upper bands correspond to the 28S subunit, the middle bands to the 18S subunit, while lower bands correspond to small RNAs. Band intensity depends on RNA concentration. The pattern of Pt. 2 is indicative of a degraded RNA, while RNA integrity from Pt. 7 cannot be assessed due to low RNA concentration. A 1kb DNA ladder was used as molecular weight (commercially available RNA ladder can also be included to better estimate the molecular weight of individual bands from RNA species).
Pause point: RNA samples can be stored at −80°C for several months.
C. Synthesis, purification, and precipitation of dscDNA
In this step, RNA is retrotranscribed into dscDNA. The retrotranscription process involves priming with an anchored oligonucleotide, followed by the synthesis of the first strand. Subsequently, it proceeds with second strand synthesis through various enzymatic reactions to generate dscDNA. The dscDNA will then be subjected to circularization to obtain ligcDNA (Section D) (refer to step 3 of Fig. 1).
Caution: During the entire duration of this procedure, work on ice with the exception of steps 33 and 36. Before each incubation, vortex/flick the sample and briefly centrifuge it to spin it down. After each incubation, briefly centrifuge the sample to spin it down and place the tube on ice.
-
28.
Transfer a volume corresponding to 500–1000 ng of RNA into a new tube and adjust the final volume to 10 µL by adding DNase- and RNase-free water if necessary;
Note: In poorly concentrated samples, where 10 µL of RNA contains less than the minimum RNA concentration required for dscDNA synthesis (500 ng), a carrier RNA can be used. For this purpose, use 9 µL of RNA sample and 1 µL of carrier RNA (possibly concentrated 500 ng/µL). Carrier RNA should not include immunoglobulin gene transcripts to prevent interference with the downstream analysis. RNA from HeLa cells can be conveniently used for these purposes. For alternative sources of carrier RNA, it is recommended to first verify that said RNA, upon retrotranscription, dscDNA synthesis and circularization, does not result in any amplicon formation after inverse PCR (see below).
-
29.
Add the following reagents into the 1.5-mL tube:
1 µL of Anchored Oligo-dT (diluted as 0.5 µg/µL, by using DNase- and RNase-free water)
1 µL of RNaseOUT enzyme
-
30.
Incubate for 10 minutes at 70°C;
-
31.
Briefly spin down the sample to remove the droplets from the cap, and add the following reagents:
4 µL of 5X First strand reaction buffer
2 µL of 0.1 M DTT
1 µL of dNTPs mix (diluted and mixed as 10 mM stock, by using DNase- and RNase-free water)
-
32.
Incubate for 2 minutes at 45°C to equilibrate the temperature;
-
33.
Keeping the sample out of ice, add 1 µL of Superscript II Reverse Transcriptase and incubate for 1 hour at 45°C. The total volume of the reaction for the synthesis of the first strand of cDNA is now 20 µL;
-
34.
Briefly spin down the sample to remove the droplets from the cap, and continue with the synthesis of the second cDNA strand by adding the following reagents:
93 µL of DNase- and RNase-free water
30 µL of 5X Second Strand reaction buffer
3 µL of dNTP mix (diluted and mixed as 10 mM stock, by using DNase- and RNase-free water)
1 µL of E. coli DNA ligase
2 µL of E. coli DNA polymerase I
1 µL of E. coli DNA RNase H
The total volume of the reaction for the synthesis of the second cDNA strand is now 150 µL;
-
35.
Incubate for 2 hours at 16°C;
-
36.
After incubation, keeping the sample out of ice, add 1 µL of T4 DNA polymerase and continue the incubation for 5 minutes at 16°C;
Caution: After step 36, work under a chemical hood from step 37 to step 42, to avoid exposure to phenol–chloroform–isoamyl alcohol mixture (25:24:1), which is toxic.
-
37.
Add 160 µL of Phenol-chloroform-isoamyl alcohol mixture (25:24:1), vortex, and incubate for 2–3 minutes until phase separation;
-
38.
Centrifuge the sample for 5 minutes at 12,000 × g at 4°C;
-
39.
Carefully collect the upper phase (approximatively 150 µL) containing the dscDNA and transfer it into a second new 1.5-mL tube, taking care not to aspirate the phase below (Fig. 2C). Close this second tube, and keep it on ice, until step 42;
-
40.
Add 160 µL of STE buffer to the initial tube containing the lower phase with phenol–chloroform–isoamyl alcohol mixture (25:24:1). Vortex and incubate for 2–3 minutes until phase separation;
-
41.
Centrifuge the sample for 5 minutes at 12,000 × g at 4°C;
-
42.
Carefully collect the upper phase (approximately 150 µL) and transfer it into the second tube from step 39, taking care not to aspirate the phase below. Discard the initial tube, now containing only the lower phase. The second tube, now containing a mix of the two upper phases, should have a total volume of approximatively 300 µL;
-
43.
Proceed with dscDNA precipitation by adding the following reagents:
100 µL of ammonium acetate
750 µL of cold 100% ethanol
-
44.
Vortex vigorously the sample and incubate the tube on ice for 10 minutes;
-
45.
Centrifuge for 20 minutes at 12,000 × g at 4°C;
-
46.
Gently remove the supernatant and overlay the pellet with 500 µL of cold 70% ethanol;
-
47.
Centrifuge for 10 minutes at 12,000 × g at 4°C;
-
48.
Carefully remove the supernatant;
Note: The pellet obtained after the centrifugation performed in step 45 is typically not visible. To ensure the pellet is not lost, centrifuge the sample placing the tube in the centrifuge in a known orientation. Then, after the centrifugation, aspirate the supernatant using a tip directed opposite to where the pellet is expected to be. Keep the same tube orientation in the centrifuge for step 47.
Critical: Ethanol residues can cause PCR inhibition. Allow the ethanol to evaporate for 10 minutes to avoid this problem.
-
49.
Resuspend the pellet in 10 µL of DNase- and RNase-free water;
Pause point: dscDNA can be stored at -20°C for several months.
D. Circularization of dscDNA
The synthesized dscDNA is circularized in a DNA ligase-mediated reaction (refer to step 3 of Fig. 1). This reaction is crucial to perform the inverse PCR and amplification of the immunoglobulin target region.
-
50.
Prepare the DNA ligation reaction by adding the following reagents into a new 1.5-mL tube:
4 µL of DNase- and RNase-free water
2 µL of 5X T4 DNA ligase buffer
3 µL of dscDNA
1 µL of T4 DNA ligase
-
51.
Incubate for 16-20 hours at 14°C;
Caveat: After incubation, briefly centrifuge the sample to spin it down and place the tube on ice.
Pause point: Circularized dscDNA (ligcDNA) sample can be store at -20°C for several months.
E. Inverse PCR and amplification of immunoglobulin target region
The circularized dscDNA (ligcDNA) is used to perform a PCR protocol consisting of two steps: a first inverse PCR allows amplification of the immunoglobulin isotype of interest and the incorporation of universal adapters (from here on termed inverse PCR; refer to step 4 of Fig. 1); a second PCR (from here on termed barcoding PCR) enables the molecular barcoding of each sample using barcoded primers annealing to the universal adapters incorporated during the inverse PCR (refer to step 5 of Fig. 1). To ensure the absence of any reagent contaminations and the correctness of the prepared PCR mixtures, it is recommended to add a negative control (H2O) and a positive control (i.e. a plasma cell line ligcDNA), respectively. If an RNA carrier was employed for samples with low RNA yield, it is recommended to also include a ligcDNA sample from the original RNA carrier alone as an additional negative control.
-
52.
Prepare the inverse PCR reaction mixture by adding the following reagents (per sample) to reach a final volume of 25 µL:
12.5 µL of Q5 High-Fidelity 2X Master Mix
1.25 µL of Universal target-specific forward primer (diluted as 10 µM)
1.25 µL of Universal target-specific reverse primer (diluted as 10 µM)
7 µL of DNase- and RNase-free water
3 µL of ligcDNA obtained from step 51
Caveat: Briefly vortex and spin down the sample to favor mixing of the reagents.
-
53.
Proceed with amplification as shown below:
| Step | Temperature | Time | Cycles |
|---|---|---|---|
| Initial denaturation | 98°C | 30 seconds | |
| Denaturation | 98°C | 10 seconds | 15 |
| Primer annealing | 66°C | 30 seconds | |
| Extension | 72°C | 30 seconds | |
| Final extension | 72°C | 60 seconds |
Note: See Troubleshooting section for suboptimal PCR results.
Pause point: Inverse PCR amplicons can be stored at −20°C for few days.
-
54.
Prepare the barcoding PCR reaction mixture by adding the following reagents (per sample) to reach a final volume of 25 µL:
12.5 µL of Q5 High-Fidelity 2X Master Mix
2.5 µL of F/R barcoded primer
7 µL of DNase- and RNase-free water
3 µL of template derived from inverse PCR (step 53)
Caveat: Briefly vortex and spin down the sample to favor mixing of the reagents.
-
55.
Proceed with amplification as shown below:
| Step | Temperature | Time | Cycles |
|---|---|---|---|
| Initial denaturation | 98°C | 30 seconds | |
| Denaturation | 98°C | 10 seconds | 15 |
| Primer annealing | 66°C | 30 seconds | |
| Extension | 72°C | 30 seconds | |
| Final extension | 72°C | 60 seconds |
Note: See troubleshooting section for suboptimal PCR results.
-
56.
After PCR amplification, run the PCR products on 1% agarose gel(s) in 1X TAE buffer with a DNA visualization dye other than ethidium bromide. Use every other well for sample loading to facilitate subsequent band excision. Include a 1kb DNA ladder in one lane of each agarose gel, or in one lane of each row if using a multi-row agarose gel (Fig. 4);
-
57.
Visualize DNA bands by exposing the agarose gel to a blue light on a transilluminator. Cut bands from the gel and collect them into separate 1.5-mL tubes.
-
58.
Purify amplicons using the MinElute Gel Extraction kit (QIAGEN) according to the manufacturer’s instructions. In the final steps of the extraction protocol, elute the amplicon from the MinElute Spin Columns by using 10 µL of DNase- and RNase-free water
-
59.
Assess the concentration of each eluted amplicon by testing 1 µL of amplicon eluate on a Qubit fluorometer according to the manufacturer’s instructions;
-
60.
Pool equimolar amounts of barcoded amplicons to achieve a final concentration of 1 µg;
Figure 4.
Agarose gel electrophoresis of barcoding PCR products from representative patients. Bands of barcoding PCR amplicons obtained by eight representative patients resolved by 1% agarose gel electrophoresis. A single, defined band corresponding to 750-800 bp is visible for the first 6 patients (Pt. 1– Pt. 6) for which the light chain was amplified; a single, defined band is detectable for patients Pt. 7 and Pt. 8, for which the heavy chain was amplified, corresponding respectively to 1000 bp (G heavy chain) and 2000-2500 bp (M heavy chain). For each patient, the amplified immunoglobulin heavy or light chain isotype is reported. Non-consecutive lanes of different gels are separated by white lines. Empty wells between patients’ derived amplicons are used to facilitate band excision from the gel and avoid cross-contamination between neighboring samples/lanes.
Note: The total amount of DNA to be used for the construction of the SMRTbell library (Section F) is in accordance with PacBio guidelines.
Critical: Ethidium bromide and/or ultraviolet light can induce DNA damage and should be avoided, as DNA damage impinges subsequent SMRT. For additional sample requirements for SMRT, please refer to the “PacBio guidelines for successful SMRTbellTM libraries” document (https://dna.uga.edu/wp-content/uploads/sites/51/2018/02/Pacbio-Guidelines-SMRTbell-Libraries-v1.0.pdf) [29].
F. SMRT bell library construction and sequencing
The pool of barcoded PCR amplicons generated in the previous steps (refer to step 6 of Fig. 1) is used to create the SMRTbell library following PacBio guidelines. In this step, SMRTbell adapters are included in the amplicons through a ligation reaction, to obtain circularized DNA amplicons (https://www.pacb.com/wp-content/uploads/SMRTbell-Library-Preparation-for-High-Fidelity-Long-Read-Sequencing-Customer-Training.pdf, https://www.pacb.com/wp-content/uploads/Procedure-Checklist-Preparing-HiFi-SMRTbell-Libraries-using-SMRTbell-Express-Template-Prep-Kit-2.0.pdf). The library is then subjected to SMRT (refer to steps 7 and 8 of Fig. 1) with circular consensus sequencing (CCS) generation.
The CCS resulting from sequencing is processed through bioinformatics analysis and demultiplexed according to PacBio guidelines, to obtain a FASTA file per sample (refer to step 9 of Fig. 1).
All the procedures described in Section F are carried out by a commercial provider.
Data analysis
G. Immunoglobulin analysis by immunogenetic analysis
-
61.
FASTA files obtained from CCS demultiplexing are analyzed using the Vidjil immunogenetics software to identify the patient-specific clonal sequence in each FASTA file. When analyzing BM samples, the expressed repertoire of the immunoglobulin gene of interest is typically highly skewed toward the clonal sequence and patient-specific clonal sequences typically correspond to the first, most abundant, discrete sequence with the highest number of reads in the Vidjil analysis (refer to step 10 of Fig. 1). Vidjil tool can be accessed through the online public server (https://app.vidjil.org/), which is open-source, with accounts provided free of charge for research use only. Alternatively, Vidjil can be accessed through the VidjilNet Healthcare server (https://health.vidjil.org/) or can be In-lab/in-hospital hosted, and in this version, Vidjil is compliant for clinical use. Local restrictions may apply to the use of web-based or external servers. A tutorial for Vidjil is available online (https://www.vidjil.org/doc/tutorial/mastering-vidjil.html). For each FASTA file, create a “new patients” entry and upload the corresponding FASTA file to the Vidjil tool (https://app.vidjil.org/);
-
62.
Start the analysis by opening the “process config” window;
-
63.
In the “V(D)J recombinations” section, select “multi+inc+xxx analysis” (default: multi-locus, with same incomplete/unusual/unexpected recombinations) and launch the analysis by clicking on “Run all”;
-
64.
When the analysis is completed, the “multi+inc+xxx” will appear in the results column, and by clicking on this, the result for each FASTA file can be visualized;
-
65.
Selecting the sequenced isotype, a list of all the “clones” present in the sample and their relative abundance in terms of the number of reads is provided;
-
66.
Sort the data obtained according to the relative frequency (“Sort by size” field) to identify the dominant clone (Fig. 5), which should display the highest percentage of equal reads than all other clones possibly present in the biological sample;
-
67.
For each clone, the sequence information can be retrieved by clicking on the symbol “ï” next to the % of the molecular clonal size [i.e. the sequence length, theclonal size (expressed both in terms of absolute number of clonal reads out of the total reads and in terms of percentage), the nucleotide sequence, the sequence productivity, the V, J, and possibly D gene and allele assignment];
Figure 5.
Patient’s repertoire analysis using Vidjil software. The Vidjil software was employed to analyze the expressed repertoire of a representative patient. A. The expressed κ light chain repertoire was selected clicking on the IGK isotype (black square) in the top left corner. The different clones and their relative abundances (expressed as percentage) are listed on the left and visualized as scaled dots according to their size in the plot on the right and distributed based on the V (IGKV) and J (IGKJ) germline genes. The first, dominant clone (highlighted in the left list) constitutes 83.08% of the total sample reads and is represented as the largest dot in the plot. B. Information related to each clone [i.e. length, clonotype size (n-reads (total reads)), size (%), sequence, productivity, V gene (or 5’), J gene (or 3’)] are accessible by clicking on the “i” symbol (black circle) next to each clone. In the inset, information regarding the first dominant clone is shown. C. The expressed heavy chain repertoire was selected clicking on the IGH isotype (black square) in the top left corner. The different clones and their relative abundances (expressed as percentage) are listed on the left and visualized as scaled dots according to their size in the plot on the right and distributed based on the V (IGHV) and J (IGHJ) germline genes. Information of the IGHD gene is included in the name of each clone in the list on the left. The first, dominant clone (highlighted in the left list) constitutes 91.50% of the total sample reads and is represented as the largest dot in the plot. D. Information related to each clone [i.e. length, clonotype size (n-reads (total reads)), size (%), sequence, productivity, V gene (or 5’), D gene and J gene (or 3’)] is accessible by clicking on the “i” symbol (black circle) next to each clone. In the inset, information regarding the first, dominant clone is shown.
Figure 6.
Agarose gel electrophoresis of barcoding PCR products from patients with suboptimal results. Suboptimal results of barcoding PCR obtained by 3 representative patients resolved by 1% agarose gel electrophoresis. No expected bands are visible for Pt. 1 and Pt. 2. A faint band corresponding to 750-800 bp is visible in Pt. 3. Empty wells between patients’ derived amplicons are used to facilitate band excision from the gel and avoid cross-contamination between neighboring samples/lanes.
Note: the IMGT/V-QUEST portal (https://www.imgt.org/IMGT_vquest/input) can be used to further verify the productivity and the V, D, and J germline gene and allele assignment of the dominant clonal sequence (selecting the species and the sequenced isotype of interest).
Note: Alternatively to Vidjil, other immunogenetics tools such as IMGT/HighV-QUEST (https://www.imgt.org/HighV-QUEST/home.action), IgBlast (https://www.ncbi.nlm.nih.gov/igblast/), and MiXCR can be used.
Troubleshooting
The most common pitfalls with likely source of problems and suggested corrective measures for troubleshooting are listed in Table 2.
Table 2.
Pitfalls and troubleshooting.
| Problem | Comments and suggestions |
|---|---|
|
Phase mixing
(step 19; step 39; step 42) |
After centrifugation, the sample should present two (step 39 and 42) or three (step 19) clearly defined phases. Whenever the phases seem not properly separated, or accidentally mixed, briefly vortex the sample again and repeat the centrifugation. |
| Ethanol contamination in RNA or cDNA samples |
|
| Failing PCR: no band obtained |
|
| Suboptimal PCR results: faint bands obtained (Fig. 6) | In case of faint bands after barcoding PCR (as the ones represented in Fig. 6), consider implementing one or more of the following options:
|
Time taken
MNC separation and lysis—Timing ∼ 2 hours
RNA extraction—Timing ∼ 1 hour
Synthesis, purification and precipitation of dscDNA and
Circularization of dscDNA—Timing ∼ 7 hours
Inverse PCR and amplification of immunoglobulin target region—Timing ∼ 5 hours
SMRT bell library construction and sequencing—Turnaround-time defined by the facility (few days to few weeks)
Immunoglobulin analysis by immunogenetic analysis—Timing ∼ 15 minutes per sample
Acknowledgements
This work was supported by grants from the European Union—Next Generation EU—PNRR M6C2—Investment 2.1 “Valorizzazione e potenziamento della ricerca biomedica del SSN” (grant #PNRR-MR1-2022-12376853) (GP), the Italian Ministry of Health (Ricerca Finalizzata, grant #GR-2018-12 368 387, Ricerca Corrente) (MN and GP), the European Joint Program on Rare Diseases (grant #EJPRD22-169) (GP), the CARIPLO Foundation and Telethon Foundation (grant #GJC23044) (MN), the CARIPLO Foundation (grant #2023-1731) (AN), Cancer Research UK [C355/A26819], FC AECC and AIRC under the Accelerator Award Program (GM, GP, and MN), and the Italian Ministry of Research and Education (PRIN 20207XLJB2) (GP). The authors would also like to acknowledge the work from past laboratory members of the Amyloidosis Research and Treatment Center, that despite not directly involved in the manuscript have contributed along the years to the refinement or application of this protocol.
Contributor Information
Alice Nevone, Department of Molecular Medicine, University of Pavia, Pavia, 27100, Italy; Amyloidosis Research and Treatment Center, Fondazione IRCCS Policlinico San Matteo, Pavia, 27100, Italy.
Francesca Lattarulo, Department of Molecular Medicine, University of Pavia, Pavia, 27100, Italy; Amyloidosis Research and Treatment Center, Fondazione IRCCS Policlinico San Matteo, Pavia, 27100, Italy.
Monica Russo, Department of Molecular Medicine, University of Pavia, Pavia, 27100, Italy; Amyloidosis Research and Treatment Center, Fondazione IRCCS Policlinico San Matteo, Pavia, 27100, Italy.
Pasquale Cascino, Department of Molecular Medicine, University of Pavia, Pavia, 27100, Italy; Amyloidosis Research and Treatment Center, Fondazione IRCCS Policlinico San Matteo, Pavia, 27100, Italy.
Giampaolo Merlini, Department of Molecular Medicine, University of Pavia, Pavia, 27100, Italy; Amyloidosis Research and Treatment Center, Fondazione IRCCS Policlinico San Matteo, Pavia, 27100, Italy.
Giovanni Palladini, Department of Molecular Medicine, University of Pavia, Pavia, 27100, Italy; Amyloidosis Research and Treatment Center, Fondazione IRCCS Policlinico San Matteo, Pavia, 27100, Italy.
Mario Nuvolone, Department of Molecular Medicine, University of Pavia, Pavia, 27100, Italy; Amyloidosis Research and Treatment Center, Fondazione IRCCS Policlinico San Matteo, Pavia, 27100, Italy.
Author contributions
MN designed the study. MN and PC developed the original version of the protocol. AN, FL, and MR contributed to optimize the protocol and performed the experiments. AN, FL, MR, and MN drafted the manuscript and prepared the figures. GP and MN obtained study approval and performed clinical evaluations. AN, GM, GP, and MN edited the manuscript and provided financial support. All authors reviewed the final manuscript.
Conflict of interest statement. PC, GP, and MN are inventors on a patent application related to this work.
Data availability
Data from the original description of the protocol and technical validation are available at doi: 10.1002/ajh.26684. Data from the application of the protocol to a large cohort of patients with AL amyloidosis and multiple myeloma are available at doi: 10.1038/s41375-022-01599-w. M protein sequences were obtained through the SMaRT M-Seq technique available at NCBI GeneBank (MZ595009-MZ595094, OM885091-OM885224).
Ethical consideration
Clinical records and biological samples were from subjects referred to the Italian Amyloid Center, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy, for a diagnostic workout in the suspicion of a monoclonal gammopathy. Per the Declaration of Helsinki, all patients gave their written informed consent for the use of their clinical data and biological samples for research purposes, and this study was approved by the local Institutional Review Board (Protocol n° 20190103452; Protocol n°20190062944).
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
Data from the original description of the protocol and technical validation are available at doi: 10.1002/ajh.26684. Data from the application of the protocol to a large cohort of patients with AL amyloidosis and multiple myeloma are available at doi: 10.1038/s41375-022-01599-w. M protein sequences were obtained through the SMaRT M-Seq technique available at NCBI GeneBank (MZ595009-MZ595094, OM885091-OM885224).






