Menu

Auto Tag: Iso-Seq

June 1, 2021  |  

Comprehensive genome and transcriptome structural analysis of a breast cancer cell line using PacBio long read sequencing

Genomic instability is one of the hallmarks of cancer, leading to widespread copy number variations, chromosomal fusions, and other structural variations. The breast cancer cell line SK-BR-3 is an important model for HER2+ breast cancers, which are among the most aggressive forms of the disease and affect one in five cases. Through short read sequencing, copy number arrays, and other technologies, the genome of SK-BR-3 is known to be highly rearranged with many copy number variations, including an approximately twenty-fold amplification of the HER2 oncogene. However, these technologies cannot precisely characterize the nature and context of the identified genomic events and other important mutations may be missed altogether because of repeats, multi-mapping reads, and the failure to reliably anchor alignments to both sides of a variation. To address these challenges, we have sequenced SK-BR-3 using PacBio long read technology. Using the new P6-C4 chemistry, we generated more than 70X coverage of the genome with average read lengths of 9-13kb (max: 71kb). Using Lumpy for split-read alignment analysis, as well as our novel assembly-based algorithms for finding complex variants, we have developed a detailed map of structural variations in this cell line. Taking advantage of the newly identified breakpoints and combining these with copy number assignments, we have developed an algorithm to reconstruct the mutational history of this cancer genome. From this we have discovered a complex series of nested duplications and translocations between chr17 and chr8, two of the most frequent translocation partners in primary breast cancers, resulting in amplification of HER2. We have also carried out full-length transcriptome sequencing using PacBio’s Iso-Seq technology, which has revealed a number of previously unrecognized gene fusions and isoforms. Combining long-read genome and transcriptome sequencing technologies enables an in-depth analysis of how changes in the genome affect the transcriptome, including how gene fusions are created across multiple chromosomes. This analysis has established the most complete cancer reference genome available to date, and is already opening the door to applying long-read sequencing to patient samples with complex genome structures.

Read more
June 1, 2021  |  

Profiling metagenomic communities using circular consensus and Single Molecule, Real-Time Sequencing

There are many sequencing-based approaches to understanding complex metagenomic communities, spanning targeted amplification to whole-sample shotgun sequencing. While targeted approaches provide valuable data at low sequencing depth, they are limited by primer design and PCR amplification. Whole-sample shotgun experiments require a high depth of coverage. As such, rare community members may not be represented in the resulting assembly. Circular-consensus, Single Molecule, Real-Time (SMRT) Sequencing reads in the 1-2 kb range, with >99% consensus accuracy, can be efficiently generated for low amounts of input DNA, e.g. as little as 10 ng of input DNA sequenced in 4 SMRT Cells can generate >100,000 such reads. While throughput is low compared to second-generation sequencing, the reads are a true random sampling of the underlying community. Long read lengths translate to a high number of the reads harboring full genes or even full operons for downstream analysis. Here we present the results of circular-consensus sequencing on a mock metagenomic community with an abundance range of multiple orders of magnitude, and compare the results with both 16S and shotgun assembly methods. We show that even with relatively low sequencing depth, the long-read, assembly-free, random sampling allows to elucidate meaningful information from the very low-abundance community members. For example, given the above low-input sequencing approach, a community member at 1/1,000 relative abundance would generate 100 1-2 kb sequence fragments having 99% consensus accuracy, with a high probability of containing a gene fragment useful for taxonomic classification or functional insight.

Read more
June 1, 2021  |  

SMRT Sequencing of the alala genome

Single Molecule Real-Time (SMRT) Sequencing was used to generate long reads for whole genome shotgun sequencing of the genome of the`alala (Hawaiian crow). The ‘alala is endemic to Hawaii, and the only surviving lineage of the crow family, Corvidae, in the Hawaiian Islands. The population declined to less than 20 individuals in the 1990s, and today this charismatic species is extinct in the wild. Currently existing in only two captive breeding facilities, reintroduction of the ‘alala is scheduled to begin in the Fall of 2016. Reintroduction efforts will be assisted by information from the ‘alala genome generated and assembled by SMRT Technology, which will allow detailed analysis of genes associated with immunity, behavior, and learning. Using SMRT Sequencing, we present here best practices for achieving long reads for whole genome shotgun sequencing for complex plant and animal genomes such as the ‘alala genome. With recent advances in SMRTbell library preparation, P6-C4 chemistry and 6-hour movies, the number of useable bases now exceeds 1 Gb per SMRT Cell. Read lengths averaging 10 – 15 kb can be routinely achieved, with the longest reads approaching 70 kb. Furthermore, > 25% of useable bases are in reads greater than 30 kb, advantageous for generating contiguous draft assemblies of contig N50 up to 5 Mb. De novo assemblies of large genomes are now more tractable using SMRT Sequencing as the standalone technology. We also present guidelines for planning out projects for the de novo assembly of large genomes.

Read more
June 1, 2021  |  

Cogent: Reconstructing the coding genome from full-length transcriptome sequences

For highly complex and large genomes, a well-annotated genome may be computationally challenging and costly, yet the study of alternative splicing events and gene annotations usually rely on the existence of a genome. Long-read sequencing technology provides new opportunities to sequence full-length cDNAs, avoiding computational challenges that short read transcript assembly brings. The use of single molecule, real-time sequencing from Pacific Biosciences to sequence transcriptomes (the Iso-SeqTM method), which produces de novo, high-quality, full-length transcripts, has revealed an astonishing amount of alternative splicing in eukaryotic species. With the Iso-Seq method, it is now possible to reconstruct the transcribed regions of the genome using just the transcripts themselves. We present Cogent, a tool for finding gene families and reconstructing the coding genome in the absence of a reference genome. Cogent uses k-mer similarities to first partition the transcripts into different gene families. Then, for each gene family, the transcripts are used to build a splice graph. Cogent identifies bubbles resulting from sequencing errors, minor variants, and exon skipping events, and attempts to resolve each splice graph down to the minimal set of reconstructed contigs. We apply Cogent to a Cuttlefish Iso-Seq dataset, for which there is a highly fragmented, Illumina-based draft genome assembly and little annotation. We show that Cogent successfully discovers gene families and can reconstruct the coding region of gene loci. The reconstructed contigs can then be used to visualize alternative splicing events, identify minor variants, and even be used to improve genome assemblies.

Read more
June 1, 2021  |  

Full-length cDNA sequencing for genome annotation and analysis of alternative splicing

In higher eukaryotic organisms, the majority of multi-exon genes are alternatively spliced. Different mRNA isoforms from the same gene can produce proteins that have distinct properties and functions. Thus, the importance of understanding the full complement of transcript isoforms with potential phenotypic impact cannot be understated. While microarrays and other NGS-based methods have become useful for studying transcriptomes, these technologies yield short, fragmented transcripts that remain a challenge for accurate, complete reconstruction of splice variants. The Iso-Seq protocol developed at PacBio offers the only solution for direct sequencing of full-length, single-molecule cDNA sequences to survey transcriptome isoform diversity useful for gene discovery and annotation. Knowledge of the complete isoform repertoire is also key for accurate quantification of isoform abundance. As most transcripts range from 1 – 10 kb, fully intact RNA molecules can be sequenced using SMRT Sequencing without requiring fragmentation or post-sequencing assembly. Our open-source computational pipeline delivers high-quality, non-redundant sequences for unambiguous identification of alternative splicing events, alternative transcriptional start sites, polyA tail, and gene fusion events. We applied the Iso-Seq method to the maize (Zea mays) inbred line B73. Full-length cDNAs from six diverse tissues were barcoded and sequenced across multiple size-fractionated SMRTbell libraries. A total of 111,151 unique transcripts were identified. More than half of these transcripts (57%) represented novel, sometimes tissue-specific, isoforms of known genes. In addition to the 2250 novel coding genes and 860 lncRNAs discovered, the Iso-Seq dataset corrected errors in existing gene models, highlighting the value of full-length transcripts for whole gene annotations.

Read more
June 1, 2021  |  

Targeted sequencing of genes from soybean using NimbleGen SeqCap EZ and PacBio SMRT Sequencing

Full-length gene capture solutions offer opportunities to screen and characterize structural variations and genetic diversity to understand key traits in plants and animals. Through a combined Roche NimbleGen probe capture and SMRT Sequencing strategy, we demonstrate the capability to resolve complex gene structures often observed in plant defense and developmental genes spanning multiple kilobases. The custom panel includes members of the WRKY plant-defense-signaling family, members of the NB-LRR disease-resistance family, and developmental genes important for flowering. The presence of repetitive structures and low-complexity regions makes short-read sequencing of these genes difficult, yet this approach allows researchers to obtain complete sequences for unambiguous resolution of gene models. This strategy has been applied to genomic DNA samples from soybean coupled with barcoding for multiplexing.

Read more
June 1, 2021  |  

Long-read assembly of the Aedes aegypti Aag2 cell line genome resolves ancient endogenous viral elements

Transmission of arboviruses such as Dengue Virus by Aedes aegypti causes debilitating disease across the globe. Disease in humans can include severe acute symptoms such as hemorrhagic fever and organ failure, but mosquitoes tolerate high titers of virus in a persistent infection. The mechanisms responsible for this viral tolerance are unclear. Recent publications highlighted the integration of genetic material from non-retroviral RNA viruses into the genome of the host during infection that relies upon endogenous retro-transcriptase activity from transposons. These endogenous viral elements (EVEs) found in the genome are predicted to be ancient, and at least some EVEs are under purifying selection, suggesting they are beneficial to the host. To characterize EVE biogenesis in a tractable system, we sequenced the Ae. aegypti cell line, Aag2, to 58-fold coverage and present a de novo assembly of the genome. The assembly contains 1.7 Gb of genomic and 255 Mb of alternative haplotype specific sequence, consisting of contigs with a N50 of 1.4 Mb; a value that, when compared with other assemblies of the Aedes genus, is from 1-3 orders of magnitude longer. The Aag2 genome is highly repetitive (70%), most of which is classified as transposable elements (60%). We identify EVEs in the genome homologous to a range of extant viruses, many of which cluster in these regions of repetitive DNA. The contiguous assembly allows for more comprehensive identification of the transposable elements and EVEs that are most likely to be lost in assemblies lacking the read length of SMRT Sequencing.

Read more
June 1, 2021  |  

A comprehensive study of the sugar pine (Pinus lambertiana) transcriptome implemented through diverse next-generation sequencing approaches

The assembly, annotation, and characterization of the sugar pine (Pinus lambertiana Dougl.) transcriptome represents an opportunity to study the genetic mechanisms underlying resistance to the invasive white pine blister rust (Cronartium ribicola) as well as responses to other abiotic stresses. The assembled transcripts also provide a resource to improve the genome assembly. We selected a diverse set of tissues allowing the first comprehensive evaluation of the sugar pine gene space. We have combined short read sequencing technologies (Illumina MiSeq and HiSeq) with the relatively new Pacific Biosciences Iso-Seq approach. From the 2.5 billion and 1.6 million Illumina and PacBio (46 SMRT cells) reads, 33,720 unigenes were de novo assembled. Comparison of sequencing technologies revealed improved coverage with Illumina HiSeq reads and better splice variant detection with PacBio Iso-Seq reads. The genes identified as unique to each library ranges from 199 transcripts (basket seedling) to 3,482 transcripts (female cones). In total, 10,026 transcripts were shared by all libraries. Genes differentially expressed in response to these provided insight on abiotic and biotic stress responses. To analyze orthologous sequences, we compared the translated sequences against 19 plant species, identifying 7,229 transcripts that clustered uniquely among the conifers. We have generated here a high quality transcriptome from one WPBR susceptible and one WPBR resistant sugar pine individual. Through the comprehensive tissue sampling and the depth of the sequencing achieved, detailed information on disease resistance can be further examined.

Read more
June 1, 2021  |  

Diploid genome assembly and comprehensive haplotype sequence reconstruction

Outside of the simplest cases (haploid, bacteria, or inbreds), genomic information is not carried in a single reference per individual, but rather has higher ploidy (n=>2) for almost all organisms. The existence of two or more highly related sequences within an individual makes it extremely difficult to build high quality, highly contiguous genome assemblies from short DNA fragments. Based on the earlier work on a polyploidy aware assembler, FALCON ( https://github.com/PacificBiosciences/FALCON) , we developed new algorithms and software (“FALCON-unzip”) for de novo haplotype reconstructions from SMRT Sequencing data. We generate two datasets for developing the algorithms and the prototype software: (1) whole genome sequencing data from a highly repetitive diploid fungal (Clavicorona pyxidata) and (2) whole genome sequencing data from an F1 hybrid from two inbred Arabidopsis strains: Cvi-0 and Col-0. For the fungal genome, we achieved an N50 of 1.53 Mb (of the 1n assembly contigs) of the ~42 Mb 1n genome and an N50 of the haplotigs (haplotype specific contigs) of 872 kb from a 95X read length N50 ~16 kb dataset. We found that ~ 45% of the genome was highly heterozygous and ~55% of the genome was highly homozygous. We developed methods to assess the base-level accuracy and local haplotype phasing accuracy of the assembly with short-read data from the Illumina® platform. For the ArabidopsisF1 hybrid genome, we found that 80% of the genome could be separated into haplotigs. The long range accuracy of phasing haplotigs was evaluated by comparing them to the assemblies from the two inbred parental lines. We show that a more complete view of all haplotypes could provide useful biological insights through improved annotation, characterization of heterozygous variants of all sizes, and resolution of differential allele expression. The current Falcon-Unzip method will lead to understand how to solve more difficult polyploid genome assembly problems and improve the computational efficiency for large genome assemblies. Based on this work, we can develop a pipeline enabling routinely assemble diploid or polyploid genomes as haplotigs, representing a comprehensive view of the genomes that can be studied with the information at hand.

Read more
June 1, 2021  |  

Un-zipping diploid genomes – revealing all kinds of heterozygous variants from comprehensive hapltotig assemblies

Outside of the simplest cases (haploid, bacteria, or inbreds), genomic information is not carried in a single reference per individual, but rather has higher ploidy (n=>2) for almost all organisms. The existence of two or more highly related sequences within an individual makes it extremely difficult to build high quality, highly contiguous genome assemblies from short DNA fragments. Based on the earlier work on a polyploidy aware assembler, FALCON (https://github.com/PacificBiosciences/FALCON), we developed new algorithms and software (FALCON-unzip) for de novo haplotype reconstructions from SMRT Sequencing data. We apply the algorithms and the prototype software for (1) a highly repetitive diploid fungal genome (Clavicorona pyxidata) and (2) an F1 hybrid from two inbred Arabidopsis strains: CVI-0 and COL-0. For the fungal genome, we achieved an N50 of 1.53 Mb (of the 1n assembly contigs) of the ~42 Mb 1n genome and an N50 of the haplotigs of 872 kb from a 95X read length N50 ~16 kb dataset. We found that ~ 45% of the genome was highly heterozygous and ~55% of the genome was highly homozygous. We developed methods to assess the base-level accuracy and local haplotype phasing accuracy of the assembly with short-read data from the Illumina platform. For the Arabidopsis F1 hybrid genome, we found that 80% of the genome could be separated into haplotigs. The long range accuracy of phasing haplotigs was evaluated by comparing them to the assemblies from the two inbred parental lines. We show that a more complete view of all haplotypes could provide useful biological insights through improved annotation, characterization of heterozygous variants of all sizes, and resolution of differential allele expression. Finally, we applied this method to WGS human data sets to demonstrate the potential for resolving complicated, medically-relevant genomic regions.

Read more
June 1, 2021  |  

Profiling the microbiome in fecal microbiota transplantation using circular consensus and Single Molecule, Real-Time Sequencing

There are many sequencing-based approaches to understanding complex metagenomic communities spanning targeted amplification to whole-sample shotgun sequencing. While targeted approaches provide valuable data at low sequencing depth, they are limited by primer design and PCR. Whole-sample shotgun experiments generally use short-read sequencing, which results in data processing difficulties. For example, reads less than 500bp in length will rarely cover a complete gene or region of interest, and will require assembly. This not only introduces the possibility of incorrectly combining sequence from different community members, it requires a high depth of coverage. As such, rare community members may not be represented in the resulting assembly. Circular-consensus, single molecule, real-time (SMRT®) Sequencing reads in the 1-3kb range, with >99% accuracy can be efficiently generated for low amounts of input DNA. 10 ng of input DNA sequenced in 4 SMRT Cells on the PacBio RS II would generate >100,000 such reads. While throughput is lower compared to short-read sequencing methods, the reads are a true random sampling of the underlying community since SMRT Sequencing has been shown to have very low sequence-context bias. With reads >1 kb at >99% accuracy it is reasonable to expect a high percentage of reads include gene fragments useful for analysis without the need for de novo assembly. Here we present the results of circular consensus sequencing for an individual’s microbiome, before and after undergoing fecal microbiota transplantation (FMT) in order to treat a chronic Clostridium difficile infection. We show that even with relatively low sequencing depth, the long-read, assembly-free, random sampling allows us to profile low abundance community members at the species level. We also show that using shotgun sampling with long reads allows a level of functional insight not possible with classic targeted 16S, or short read sequencing, due to entire genes being covered in single reads.

Read more
June 1, 2021  |  

Low-input long-read sequencing for complete microbial genomes and metagenomic community analysis

Microbial genome sequencing can be done quickly, easily, and efficiently with the PacBio sequencing instruments, resulting in complete de novo assemblies. Alternative protocols have been developed to reduce the amount of purified DNA required for SMRT Sequencing, to broaden applicability to lower-abundance samples. If 50-100 ng of microbial DNA is available, a 10-20 kb SMRTbell library can be made. The resulting library can be loaded onto multiple SMRT Cells, yielding more than enough data for complete assembly of microbial genomes using the SMRT Portal assembly program HGAP, plus base modification analysis. The entire process can be done in less than 3 days by standard laboratory personnel. This approach is particularly important for analysis of metagenomic communities, in which genomic DNA is often limited. From these samples, full-length 16S amplicons can be generated, prepped with the standard SMRTbell library prep protocol, and sequenced. Alternatively, a 2 kb sheared library, made from a few ng of input DNA, can also be used to elucidate the microbial composition of a community, and may provide information about biochemical pathways present in the sample. In both these cases, 1-2 kb reads with >99.9% accuracy can be obtained from Circular Consensus Sequencing.

Read more
June 1, 2021  |  

Minimization of chimera formation and substitution errors in full-length 16S PCR amplification

The constituents and intra-communal interactions of microbial populations have garnered increasing interest in areas such as water remediation, agriculture and human health. One popular, efficient method of profiling communities is to amplify and sequence the evolutionarily conserved 16S rRNA sequence. Currently, most targeted amplification focuses on short, hypervariable regions of the 16S sequence. Distinguishing information not spanned by the targeted region is lost and species-level classification is often not possible. SMRT Sequencing easily spans the entire 1.5 kb 16S gene, and in combination with highly-accurate single-molecule sequences, can improve the identification of individual species in a metapopulation. However, when amplifying a mixture of sequences with close similarities, the products may contain chimeras, or recombinant molecules, at rates as high as 20-30%. These PCR artifacts make it difficult to identify novel species, and reduce the amount of productive sequences. We investigated multiple factors that have been hypothesized to contribute to chimera formation, such as template damage, denaturing time before and during cycling, polymerase extension time, and reaction volume. Of the factors tested, we found two major related contributors to chimera formation: the amount of input template into the PCR reaction and the number of PCR cycles. Sequence errors generated during amplification and sequencing can also confound the analysis of complex populations. Circular Consensus Sequencing (CCS) can generate single-molecule reads with >99% accuracy, and the SMRT Analysis software provides filtering of these reads to >99.99% accuracies. Remaining substitution errors in these highly-filtered reads are likely dominated by mis-incorporations during amplification. Therefore, we compared the impact of several commercially-available high-fidelity PCR kits with full-length 16S amplification. We show results of our experiments and describe an optimized protocol for full-length 16S amplification for SMRT Sequencing. These optimizations have broader implications for other applications that use PCR amplification to phase variations across targeted regions and to generate highly accurate reference sequences.

Read more
June 1, 2021  |  

SMRT Sequencing for the detection of low-frequency somatic variants

The sensitivity, speed, and reduced cost associated with Next-Generation Sequencing (NGS) technologies have made them indispensable for the molecular profiling of cancer samples. For effective use, it is critical that the NGS methods used are not only robust but can also accurately detect low frequency somatic mutations. Single Molecule, Real-Time (SMRT) Sequencing offers several advantages, including the ability to sequence single molecules with very high accuracy (>QV40) using the circular consensus sequencing (CCS) approach. The availability of genetically defined, human genomic reference standards provides an industry standard for the development and quality control of molecular assays. Here we characterize SMRT Sequencing for the detection of low-frequency somatic variants using the Quantitative Multiplex DNA Reference Standard from Horizon Diagnostics, combined with amplification of the variants using the Multiplicom Tumor Hotspot MASTR Plus assay. The Horizon Diagnostics reference sample contains precise allelic frequencies from 1% to 24.5% for major oncology targets verified using digital PCR. It recapitulates the complexity of tumor composition and serves as a well-characterized control. The control sample was amplified using the Multiplicom Tumor Hotspot Master Plus assay that targets 252 amplicons (121-254 bp) from 26 relevant cancer genes, which includes all 11 variants in the control sample. The amplicons were sequenced and analyzed using SMRT Sequencing to identify the variants and determine the observed frequency. The random error profile and high accuracy CCS reads make it possible to accurately detect low frequency somatic variants.

Read more
June 1, 2021  |  

Long-read assembly of the Aedes aegypti Aag2 cell line genome resolves ancient endogenous viral elements

Transmission of arboviruses such as Dengue and Zika viruses by Aedes aegypti causes widespread and debilitating disease across the globe. Disease in humans can include severe acute symptoms such as hemorrhagic fever, organ failure, and encephalitis; and yet, mosquitoes tolerate high titers of virus in a persistent infection. The mechanisms responsible for tolerance to viral infection in mosquitoes are still unclear. Recent publications have highlighted the integration of genetic material from non-retroviral RNA viruses into the genome of the host during infection that relies upon endogenous retro-transcriptase activity from transposons. These endogenous viral elements (EVEs) found in the genome are predicted to be ancient and at least some EVEs are under purifying selection, which suggests that they are beneficial to the host. In order characterize EVE biogenesis in a tractable system we sequenced the Ae. aegypti cell line, Aag2, to 58X coverage and here present a de novo assembly of the genome. The assembly consists of 1.7 Gb of genomic and 255 Mb of alternative haplotype specific sequence, made up of contigs with a N50 of 1.4 Mb; a value that, when compared with other assemblies of the Aedes genus, is from 1-3 orders of magnitude longer. The Aag2 genome is highly repetitive (70%), most of which is classified as transposable elements (60%). We identify a plethora of EVEs in the genome homologous to a diverse range of extant viruses, many of which cluster in these regions of highly repetitive DNA. The highly contiguous nature of this assembly allows for a more comprehensive identification of the transposable elements and EVEs that are most likely to be lost in assemblies lacking the read length of SMRT Sequencing. Transmission of arboviruses such as Dengue Virus by Aedes aegypti causes widespread and debilitating disease across the globe. Disease in humans can include severe acute symptoms such as hemorrhagic fever, organ failure, and encephalitis; and yet, mosquitoes tolerate high titers of virus in a persistent infection. The mechanisms responsible for tolerance to viral infection in mosquitoes are still unclear. Recent publications have highlighted the integration of genetic material from non-retroviral RNA viruses into the genome of the host during infection that relies upon endogenous retro-transcriptase activity from transposons. These endogenous viral elements (EVEs) found in the genome are predicted to be ancient and at least some EVEs are under purifying selection, which suggests that they are beneficial to the host. In order characterize EVE biogenesis in a tractable system we sequenced the Ae. aegypti cell line, Aag2, to 58X coverage and here present a de novo assembly of the genome. The assembly consists of 1.7 Gb of genomic and 255 Mb of alternative haplotype specific sequence, made up of contigs with a N50 of 1.4 Mb; a value that, when compared with other assemblies of the Aedes genus, is from 1-3 orders of magnitude longer. The Aag2 genome is highly repetitive (70%), most of which is classified as transposable elements (60%). We identify a plethora of EVEs in the genome homologous to a diverse range of extant viruses, many of which cluster in these regions of highly repetitive DNA. The highly contiguous nature of this assembly allows for a more comprehensive identification of the transposable elements and EVEs that are most likely to be lost in assemblies lacking the read length of SMRT Sequencing. Transmission of arboviruses such as Dengue Virus by Aedes aegypti causes widespread and debilitating disease across the globe. Disease in humans can include severe acute symptoms such as hemorrhagic fever, organ failure, and encephalitis; and yet, mosquitoes tolerate high titers of virus in a persistent infection. The mechanisms responsible for tolerance to viral infection in mosquitoes are still unclear.

Read more

Subscribe for blog updates:

Talk with an expert

If you have a question, need to check the status of an order, or are interested in purchasing an instrument, we're here to help.