Clonal Decomposition and DNA Replication States Defined by Scaled Single-Cell Genome Sequencing.

Accurate measurement of clonal genotypes, mutational processes, and replication states from individual tumor-cell genomes will facilitate improved understanding of tumor evolution. We have developed DLP+, a scalable single-cell whole-genome sequencing platform implemented using commodity instruments, image-based object recognition, and open source computational methods. Using DLP+, we have generated a resource of 51,926 single-cell genomes and matched cell images from diverse cell types including cell lines, xenografts, and diagnostic samples with limited material. From this resource we have defined variation in mitotic mis-segregation rates across tissue types and genotypes. Analysis of matched genomic and image measurements revealed correlations between cellular morphology and genome ploidy states. Aggregation of cells sharing copy number profiles allowed for calculation of single-nucleotide resolution clonal genotypes and inference of clonal phylogenies and avoided the limitations of bulk deconvolution. Finally, joint analysis over the above features defined clone-specific chromosomal aneuploidy in polyclonal populations.

Single-cell genomic variation induced by mutational processes in cancer.

How cell-to-cell copy number alterations that underpin genomic instability1 in human cancers drive genomic and phenotypic variation, and consequently the evolution of cancer2, remains understudied. Here, by applying scaled single-cell whole-genome sequencing3 to wild-type, TP53-deficient and TP53-deficient;BRCA1-deficient or TP53-deficient;BRCA2-deficient mammary epithelial cells (13,818 genomes), and to primary triple-negative breast cancer (TNBC) and high-grade serous ovarian cancer (HGSC) cells (22,057 genomes), we identify three distinct 'foreground' mutational patterns that are defined by cell-to-cell structural variation. Cell- and clone-specific high-level amplifications, parallel haplotype-specific copy number alterations and copy number segment length variation (serrate structural variations) had measurable phenotypic and evolutionary consequences. In TNBC and HGSC, clone-specific high-level amplifications in known oncogenes were highly prevalent in tumours bearing fold-back inversions, relative to tumours with homologous recombination deficiency, and were associated with increased clone-to-clone phenotypic variation. Parallel haplotype-specific alterations were also commonly observed, leading to phylogenetic evolutionary diversity and clone-specific mono-allelic expression. Serrate variants were increased in tumours with fold-back inversions and were highly correlated with increased genomic diversity of cellular populations. Together, our findings show that cell-to-cell structural variation contributes to the origins of phenotypic and evolutionary diversity in TNBC and HGSC, and provide insight into the genomic and mutational states of individual cancer cells.

Clonal fitness inferred from time-series modelling of single-cell cancer genomes.

Progress in defining genomic fitness landscapes in cancer, especially those defined by copy number alterations (CNAs), has been impeded by lack of time-series single-cell sampling of polyclonal populations and temporal statistical models1-7. Here we generated 42,000 genomes from multi-year time-series single-cell whole-genome sequencing of breast epithelium and primary triple-negative breast cancer (TNBC) patient-derived xenografts (PDXs), revealing the nature of CNA-defined clonal fitness dynamics induced by TP53 mutation and cisplatin chemotherapy. Using a new Wright-Fisher population genetics model8,9 to infer clonal fitness, we found that TP53 mutation alters the fitness landscape, reproducibly distributing fitness over a larger number of clones associated with distinct CNAs. Furthermore, in TNBC PDX models with mutated TP53, inferred fitness coefficients from CNA-based genotypes accurately forecast experimentally enforced clonal competition dynamics. Drug treatment in three long-term serially passaged TNBC PDXs resulted in cisplatin-resistant clones emerging from low-fitness phylogenetic lineages in the untreated setting. Conversely, high-fitness clones from treatment-naive controls were eradicated, signalling an inversion of the fitness landscape. Finally, upon release of drug, selection pressure dynamics were reversed, indicating a fitness cost of treatment resistance. Together, our findings define clonal fitness linked to both CNA and therapeutic resistance in polyclonal tumours.

PXMP4 promotes gastric cancer cell epithelial-mesenchymal transition via the PI3K/AKT signaling pathway.

BACKGROUND: Peroxisomal membrane protein 4 (PXMP4), a member of the peroxisome membrane protein PXMP2/4 family, participates in the progression of several malignant cancers. Nevertheless, the effect of PXMP4 in the development of gastric cancer (GC) is still unknown. As a result, the focus of this investigation was to elucidate the potential mechanisms of PXMP4 in GC. METHODS AND RESULTS: Firstly, bioinformatics analysis results showed higher expression of PXMP4 in GC tissues. Secondly, clinical analysis of 57 patients with GC revealed correlations between PXMP4 expression and differentiation, depth of invasion, as well as TNM stage. Furthermore, individuals with elevated PXMP4 expression in GC exhibited an unfavorable prognosis. In vitro data showed the involvement of knockdown/overexpression of PXMP4 in the proliferation, invasion, and migration of GC cells, and triggering the epithelial-mesenchymal transition (EMT) of GC cells through the activation of the PI3K/AKT signaling pathway. LY294002, a PI3K/AKT inhibitor, inhibited the expression of PI3K/AKT-related proteins but did not affect the expression of PXMP4. CONCLUSIONS: These findings indicate that PXMP4 potentially functions as an upstream molecule in the PI3K/AKT pathway, governing the EMT process in GC.

Epiclomal: Probabilistic clustering of sparse single-cell DNA methylation data.

We present Epiclomal, a probabilistic clustering method arising from a hierarchical mixture model to simultaneously cluster sparse single-cell DNA methylation data and impute missing values. Using synthetic and published single-cell CpG datasets, we show that Epiclomal outperforms non-probabilistic methods and can handle the inherent missing data characteristic that dominates single-cell CpG genome sequences. Using newly generated single-cell 5mCpG sequencing data, we show that Epiclomal discovers sub-clonal methylation patterns in aneuploid tumour genomes, thus defining epiclones that can match or transcend copy number-determined clonal lineages and opening up an important form of clonal analysis in cancer. Epiclomal is written in R and Python and is available at https://github.com/shahcompbio/Epiclomal.

An overview of biological applications and fundamentals of new inlet and vacuum ionization technologies.

RATIONALE: The developments of new ionization technologies based on processes previously unknown to mass spectrometry (MS) have gained significant momentum. Herein we address the importance of understanding these unique ionization processes, demonstrate the new capabilities currently unmet by other methods, and outline their considerable analytical potential. METHODS: The inlet and vacuum ionization methods of solvent-assisted ionization (SAI), matrix-assisted ionization (MAI), and laserspray ionization can be used with commercial and dedicated ion sources producing ions from atmospheric or vacuum conditions for analyses of a variety of materials including drugs, lipids, and proteins introduced from well plates, pipet tips and plate surfaces with and without a laser using solid or solvent matrices. Mass spectrometers from various vendors are employed. RESULTS: Results are presented highlighting strengths relative to ionization methods of electrospray ionization (ESI) and matrix-assisted laser desorption/ionization. We demonstrate the utility of multi-ionization platforms encompassing MAI, SAI, and ESI and enabling detection of what otherwise is missed, especially when directly analyzing mixtures. Unmatched robustness is achieved with dedicated vacuum MAI sources with mechanical introduction of the sample to the sub-atmospheric pressure (vacuum MAI). Simplicity and use of a wide array of matrices are attained using a conduit (inlet ionization), preferably heated, with sample introduction from atmospheric pressure. Tissue, whole blood, urine (including mouse, chicken, and human origin), bacteria strains and chemical on-probe reactions are analyzed directly and, especially in the case of vacuum ionization, without concern of carryover or instrument contamination. CONCLUSIONS: Examples are provided highlighting the exceptional analytical capabilities associated with the novel ionization processes in MS that reduce operational complexity while increasing speed and robustness, achieving mass spectra with low background for improved sensitivity, suggesting the potential of this simple ionization technology to drive MS into areas currently underserved, such as clinical and medical applications.

An LC/MS Method Providing Improved Sensitivity: Electrospray Ionization Inlet.

Electrospray ionization inlet (ESII) combines positive aspects of electrospray ionization (ESI) and solvent-assisted ionization (SAI). Similar to SAI, the analyte solution is directly introduced into a heated inlet tube linking atmospheric pressure and the initial vacuum stage of the mass spectrometer. However, unlike SAI, in ESII a voltage is applied to the solution through a metal union linking two sections of fused silica tubing through which solution flows into the inlet. Here, we demonstrate liquid chromatography (LC) ESII/MS on two different mass spectrometers using a mixture of drugs, a peptide standard mixture, and protein digests. This LC-ESII/MS approach has little dead volume and thus provides excellent chromatographic resolution at mobile phase flow rates from 1 to 55 µL min-1. Significant improvement in ion abundance and less chemical background ions were observed relative to ESI for all drugs and peptides tested at flow rates from 15 to 55 µL min-1. At a low inlet tube temperature, ESII has an ionization selectivity similar to that of ESI but, at higher inlet temperatures, appears to have the attributes of both ESI and SAI.

A broad-based study on hyphenating new ionization technologies with MS/MS for PTMs and tissue characterization.

Matrix-assisted ionization (MAI) is a newly discovered method for converting compounds from the solid phase to gas-phase ions having charge states similar to electrospray ionization (ESI), but without the need for high-energy sources such as lasers or high voltage. Laserspray ionization (LSI) is a subset of MAI that uses a laser to provide high spatial resolution analyses, but the laser is not directly involved in the ionization process. These methods produce multiply-charged analyte ions that are useful for characterizing compounds directly from surfaces using advanced characterization technologies. Because the multiply-charged ions originate from charged matrix clusters, efficient desolvation of the matrix is a prerequisite. Here, we report on the utility of collision-induced dissociation (CID) and electron transfer dissociation (ETD) coupled to mass spectrometry using several MAI and LSI matrices for peptide and protein characterization employing mass spectrometers from two manufacturers. The information obtained is similar to that using ESI for most analyses and superior to matrix-assisted laser desorption/ionization (MALDI) as is shown for intact proteins and protein digests directly from mouse brain tissue sections. The ionization processes are soft so that posttranslational modification (e.g. phosphorylation) sites are readily determined. Instances where ETD or CID in conjunction with MAI failed are attributed to lack of desolvation of charged matrix:analyte particles.

New ionization processes and applications for use in mass spectrometry.

Mass spectrometry (MS) continues to improve at a rapid pace as most prominently witnessed for mass analyzers and fragmentation technology. Ionization methods have also seen resurgence with ambient ionization approaches gaining a foothold because they often provide a convenient and direct means of sample analysis. Nevertheless, a vast majority of biological analyses using MS apply electrospray ionization or matrix-assisted laser desorption/ionization, methods introduced in the 1980s, or variants thereof. To further advance applications by MS such as protein characterization, and, for example, addressing their location within specific cell types, the progress in mass analyzer and fragmentation technology needs to be matched with similar advances in ionization technology. It is imperative to seek ionization methods that more efficiently convert molecules, to gas-phase ions in a way that allows high transfer efficiency to the mass analyzer and subsequently the detector to achieve a more complete picture of sample composition. This review provides a snapshot of fundamental aspects of new ionization methods and potential biological and medical applications.

High-throughput characterization of small and large molecules using only a matrix and the vacuum of a mass spectrometer.

Matrix assisted ionization vacuum (MAIV) rapidly generates gas-phase analyte ions from subliming solid-phase matrix:analyte crystals for analysis by mass spectrometry (MS). Ionization from the solid-phase allows the use of a variety of surfaces for introducing matrix:analyte samples to the vacuum of a mass spectrometer, including common laboratory materials, such as disposable pipet tips, filter paper, tooth picks, and nylon mesh. MAIV is shown here to be capable of analyses as fast as 3 s per sample with achievable sensitivities in the low femtomole range. MAIV-MS coupled with ion mobility spectrometry (IMS)-MS and tandem mass spectrometry (MS/MS) is shown to be especially powerful for analysis and characterization of a wide range of molecules ranging from small molecules such as drugs and metabolites (∼300 Da) to intact proteins (25.6 kDa). Automated sample introduction is demonstrated on two different commercial mass spectrometers using a programmable XYZ stage. A MAIV high-throughput nontargeted MS(E) approach is also demonstrated utilizing IMS for rapid characterization of small molecules and peptides from standard solutions, as well as drug spiked human urine.

Drug detection and quantification directly from tissue using novel ionization methods for mass spectrometry.

Solvent assisted ionization inlet (SAII) and matrix assisted ionization vacuum (MAIV) were used to quantify rapidly an antipsychotic drug, clozapine, directly from surfaces with minimal sample preparation. This simple surface analysis method based on SAII- and MAIV-mass spectrometry (MS) was developed to allow the detection of endogenous lipids, metabolites, and clozapine directly from sections of mouse brain tissue. A rapid surface assessment was achieved by SAII with the assistance of heat applied to the mass spectrometer inlet. MAIV provided an improved reproducibility without the need of a heated inlet. In addition, isotope dilution and standard addition were used without sample clean-up, and the results correlate well with liquid chromatography tandem MS using sample work-up. Using the simple surface methods, standard solutions containing clozapine and a deuterated internal standard (clozapine-d8) at different concentration ratios were used in the extraction and quantification of clozapine from brain tissue sections of a drug-treated mouse using different tissue thicknesses. The amount of clozapine extracted by these surface methods was independent of tissue thickness.

High-throughput solvent assisted ionization inlet for use in mass spectrometry.

In this work we developed a multiplexed analysis platform providing a simple high-throughput means to characterize solutions. Automated analyses, requiring less than 5 s per sample without carryover and 1 s per sample, accepting minor cross contamination, was achieved using multiplexed solvent assisted ionization inlet (SAII) mass spectrometry (MS). The method involves sequentially moving rows of pipet tips containing sample solutions in close proximity to the inlet aperture of a heated mass spectrometer inlet tube. The solution is pulled from the container into the mass spectrometer inlet by the pressure differential at the mass spectrometer inlet aperture. This sample introduction method for direct injection of solutions is fast, easily implemented, and widely applicable, as is shown by applications ranging from small molecules to proteins as large as carbonic anhydrase (molecular weight ca. 29,000). MS/MS fragmentation is applicable for sample characterization. An x,y-stage and common imaging software are incorporated to map the location of components in the sample wells of a microtiter plate. Location within an x,y-array of different sample solutions and the relative concentration of the sample are displayed using ion intensity maps.

Matrix-assisted ionization vacuum for high-resolution Fourier transform ion cyclotron resonance mass spectrometers.

Matrix-assisted ionization vacuum (MAIV) produces charge states similar to electrospray ionization (ESI) from the solid state without requiring high voltage or added heat. MAIV differs from matrix-assisted laser desorption/ionization (MALDI) in that no laser is needed and abundant multiply charged ions are produced from molecules having multiple basic sites such as proteins. Here we introduce simple modifications to the commercial vacuum MALDI and ESI sources of a 9.4 T Fourier transform-ion cyclotron resonance (FT-ICR) mass spectrometer to perform MAIV from both intermediate and atmospheric pressure. The multiply charged ions are shown for the proteins bovine insulin, ubiquitin, and lysozyme using 3-nitrobenzonitrile as matrix. These are the first examples of MAIV operating at pressures as low as 10(-6) mbar in an FT-ICR mass spectrometer source, and the expected mass resolving power of 100000 to 400000 is achieved. Identical protein charge states are observed with and without laser ablation indicating minimal, if any, role of photochemical ionization for the compounds studied.

Gas-phase ions produced by freezing water or methanol for analysis using mass spectrometry.

Introducing water or methanol containing a low concentration of volatile or nonvolatile analyte into an inlet tube cooled with dry ice linking atmospheric pressure and the first vacuum stage of a mass spectrometer produces gas-phase ions even of small proteins that can be detected by mass spectrometry. Collision-induced dissociation experiments conducted in the first vacuum region of the mass spectrometer suggest analyte ions being protected by a solvent cage. The charges may be produced by processes similar to those proposed for charge separation under freezing conditions in thunderclouds. By this process, the surface of an ice pellet is charged positive and the interior negative so that removal of surface results in charge separation. A reversal of surface charge is expected for a heated droplet surface, and this is observed by heating rather than cooling the inlet tube. These observations are consistent with charged supercooled droplets or ice particles as intermediates in the production of analyte ions under freezing conditions.

Characterizing synthetic polymers and additives using new ionization methods for mass spectrometry.

RATIONALE: New inlet and vacuum ionization methods provide advantages of specificity, simplicity and speed for the analysis of synthetic polymers and polymer additives directly from surfaces such as fibers using mass spectrometry (MS) on different commercial mass spectrometers (Waters SYNAPT G2, Thermo LTQ Velos). METHODS: We compare inlet ionization methods with the recently discovered vacuum ionization method. This method, termed matrix assisted ionization vacuum (MAIV), utilizes the matrix 3-nitrobenzonitrile (3-NBN) for the analysis of synthetic polymers and additives without additional energy input by simply exposing the matrix:analyte:salt to the vacuum of the mass spectrometer. Matrix:analyte:salt samples can be introduced while dry (surfaces, e.g. glass slides, pipet tips) or slightly wet (e.g. filter paper, pipet tips). RESULTS: Compounds ionized by these methods can be analyzed in both positive and negative detection modes through cationization or deprotonation, respectively. The dynamic range of the experiment can be enhanced, as well as structural analysis performed, by coupling the vacuum ionization method with ion mobility spectrometry mass spectrometry (IMS-MS) and tandem mass spectrometric (MS/MS) fragmentation. CONCLUSIONS: The specificity of 3-NBN matrix to ionize small and large nonvolatile analyte molecules by MAIV makes this matrix a good choice for observing low-abundance additives in the presence of large amounts of synthetic polymer using MS.

Toward high spatial resolution sampling and characterization of biological tissue surfaces using mass spectrometry.

Mass spectrometry has emerged as a powerful tool for the bioanalytical sciences because of its ability to characterize small and large biomolecules in vanishingly small amounts. A recurring motif in mass spectrometry aims to decipher the chemical composition of biological samples at the molecular level, requiring drastic improvements in the ability to interrogate well defined and highly spatially resolved areas of a sample surface. With the growth of novel ionization methods, numerous advances have been made in sampling biological tissue surfaces. Here, current advancements in ambient, inlet, and vacuum ionization methods are discussed with respect to the potential improvements in the goal of achieving high spatial resolution and/or fast surface analysis. Of similar importance is the need for improvements in applicable characterization strategies using high performance fragmentation technologies such as electron transfer dissociation and electron capture dissociation directly from surfaces, and gas-phase separation through ion mobility spectrometry and high resolution mass spectrometry.

Single-cell decoding of drug induced transcriptomic reprogramming in triple negative breast cancers.

BACKGROUND: The encoding of cell intrinsic drug resistance states in breast cancer reflects the contributions of genomic and non-genomic variations and requires accurate estimation of clonal fitness from co-measurement of transcriptomic and genomic data. Somatic copy number (CN) variation is the dominant mutational mechanism leading to transcriptional variation and notably contributes to platinum chemotherapy resistance cell states. Here, we deploy time series measurements of triple negative breast cancer (TNBC) single-cell transcriptomes, along with co-measured single-cell CN fitness, identifying genomic and transcriptomic mechanisms in drug-associated transcriptional cell states. RESULTS: We present scRNA-seq data (53,641 filtered cells) from serial passaging TNBC patient-derived xenograft (PDX) experiments spanning 2.5 years, matched with genomic single-cell CN data from the same samples. Our findings reveal distinct clonal responses within TNBC tumors exposed to platinum. Clones with high drug fitness undergo clonal sweeps and show subtle transcriptional reversion, while those with weak fitness exhibit dynamic transcription upon drug withdrawal. Pathway analysis highlights convergence on epithelial-mesenchymal transition and cytokine signaling, associated with resistance. Furthermore, pseudotime analysis demonstrates hysteresis in transcriptional reversion, indicating generation of new intermediate transcriptional states upon platinum exposure. CONCLUSIONS: Within a polyclonal tumor, clones with strong genotype-associated fitness under platinum remained fixed, minimizing transcriptional reversion upon drug withdrawal. Conversely, clones with weaker fitness display non-genomic transcriptional plasticity. This suggests CN-associated and CN-independent transcriptional states could both contribute to platinum resistance. The dominance of genomic or non-genomic mechanisms within polyclonal tumors has implications for drug sensitivity, restoration, and re-treatment strategies.

Direct sub-atmospheric pressure ionization mass spectrometry: Evaporation/sublimation-driven ionization is amazing, fundamentally, and practically.

This paper covers direct sub-atmospheric pressure ionization mass spectrometry (MS). The discovery, applications, and mechanistic aspects of novel ionization processes for use in MS that are not based on the high-energy input from voltage, laser, and/or high temperature but on sublimation/evaporation within a region linking a higher to lower pressure and modulated by heat and collisions, are discussed, including how this new reality has guided a series of discoveries, instrument developments, and commercialization. A research focus, inter alia, is on how best to understand, improve, and use these novel ionization processes, which convert volatile and nonvolatile compounds from solids (sublimation) or liquids (evaporation) into gas-phase ions for analysis by MS providing reproducible, accurate, sensitive, and prompt results. Our perception on how these unprecedented versus traditional ionization processes/methods relate to each other, how they can be made to coexist on the same mass spectrometer, and an outlook on new and expanded applications (e.g., clinical, portable, fast, safe, and autonomous) is presented, and is based on ST's Opening lecture presentation at the Nordic Mass spectrometry Conference, Geilo, Norway, January 2023. Focus will be on matrix-assisted ionization (MAI) and solvent-assisted ionization (SAI) MS covering the period from 2010 to 2023; a potential paradigm shift in the making.

New Processes for Ionizing Nonvolatile Compounds in Mass Spectrometry: The Road of Discovery to Current State-of-the-Art.

This Perspective covers discovery and mechanistic aspects as well as initial applications of novel ionization processes for use in mass spectrometry that guided us in a series of subsequent discoveries, instrument developments, and commercialization. Vacuum matrix-assisted ionization on an intermediate pressure matrix-assisted laser desorption/ionization source without the use of a laser, high voltages, or any other added energy was simply unbelievable, at first. Individually and as a whole, the various discoveries and inventions started to paint, inter alia, an exciting new picture and outlook in mass spectrometry from which key developments grew that were at the time unimaginable, and continue to surprise us in its simplistic preeminence. We, and others, have demonstrated exceptional analytical utility. Our current research is focused on how best to understand, improve, and use these novel ionization processes through dedicated platforms and source developments. These ionization processes convert volatile and nonvolatile compounds from solid or liquid matrixes into gas-phase ions for analysis by mass spectrometry using, e.g., mass-selected fragmentation and ion mobility spectrometry to provide accurate, and sometimes improved, mass and drift time resolution. The combination of research and discoveries demonstrated multiple advantages of the new ionization processes and established the basis of the successes that lead to the Biemann Medal and this Perspective. How the new ionization processes relate to traditional ionization is also presented, as well as how these technologies can be utilized in tandem through instrument modification and implementation to increase coverage of complex materials through complementary strengths.

Accurate determination of CRISPR-mediated gene fitness in transplantable tumours.

Assessing tumour gene fitness in physiologically-relevant model systems is challenging due to biological features of in vivo tumour regeneration, including extreme variations in single cell lineage progeny. Here we develop a reproducible, quantitative approach to pooled genetic perturbation in patient-derived xenografts (PDXs), by encoding single cell output from transplanted CRISPR-transduced cells in combination with a Bayesian hierarchical model. We apply this to 181 PDX transplants from 21 breast cancer patients. We show that uncertainty in fitness estimates depends critically on the number of transplant cell clones and the variability in clone sizes. We use a pathway-directed allelic series to characterize Notch signaling, and quantify TP53 / MDM2 drug-gene conditional fitness in outlier patients. We show that fitness outlier identification can be mirrored by pharmacological perturbation. Overall, we demonstrate that the gene fitness landscape in breast PDXs is dominated by inter-patient differences.