A novel MALDI LIFT-TOF/TOF mass spectrometer for proteomics

A new matrix-assisted laser-desorption/ionization time-of-flight/time-of-flight mass spectrometer with the novel "LIFT" technique (MALDI LIFT-TOF/TOF MS) is described. This instrument provides high sensitivity (attomole range) for peptide mass fingerprints (PMF). It is also possible to analyze fragment ions generated by any one of three different modes of dissociation: laser-induced dissociation (LID) and high-energy collision-induced dissociation (CID) as real MS/MS techniques and in-source decay in the reflector mode of the mass analyzer (reISD) as a pseudo-MS/MS technique. Fully automated operation including spot picking from 2D gels, in-gel digestion, sample preparation on MALDI plates with hydrophilic/hydrophobic spot profiles and spectrum acquisition/processing lead to an identification rate of 66% after the PMF was obtained. The workflow control software subsequently triggered automated acquisition of multiple MS/MS spectra. This information, combined with the PMF increased the identification rate to 77%, thus providing data that allowed protein modifications and sequence errors in the protein sequence database to be detected. The quality of the MS/MS data allowed for automated de novo sequencing and protein identification based on homology searching.     

High‐throughput workflow for identification of phosphorylated peptides by LC‐MALDI‐TOF/TOF‐MS coupled to in situ enrichment on MALDI plates functionalized by ion landing

We report an MS‐based workflow for identification of phosphorylated peptides from trypsinized protein mixtures and cell lysates that is suitable for high‐throughput sample analysis. The workflow is based on an in situ enrichment on matrix‐assisted laser desorption/ionization (MALDI) plates that were functionalized by TiO₂ using automated ion landing apparatus that can operate unsupervised. The MALDI plate can be functionalized by TiO₂ into any array of predefined geometry (here, 96 positions for samples and 24 for mass calibration standards) made compatible with a standard MALDI spotter and coupled with high‐performance liquid chromatography. The in situ MALDI plate enrichment was compared with a standard precolumn‐based separation and achieved comparable or better results than the standard method. The performance of this new workflow was demonstrated on a model mixture of proteins as well as on Jurkat cells lysates. The method showed improved signal‐to‐noise ratio in a single MS spectrum, which resulted in better identification by MS/MS and a subsequent database search. Using the workflow, we also found specific phosphorylations in Jurkat cells that were nonspecifically activated by phorbol 12‐myristate 13‐acetate. These phosphorylations concerned the mitogen‐activated protein kinase/extracellular signal‐regulated kinase signaling pathway and its targets and were in agreement with the current knowledge of this signaling cascade. Control sample of non‐activated cells was devoid of these phosphorylations. Overall, the presented analytical workflow is able to detect dynamic phosphorylation events in minimally processed mammalian cells while using only a short high‐performance liquid chromatography gradient. Copyright © 2015 John Wiley & Sons, Ltd.     

Evaluation of an on-target sample preparation system for matrix-assisted laser desorption/ionization time-of-flight mass spectrometry in conjunction with normal-flow peptide high-performance liquid chromatography for peptide mass fingerprint analyses

Large-scale mass spectrometry (MS)-based proteomic analyses require high-throughput sample preparation techniques due to the increasing numbers of samples that make up a typical proteomics experiment. Moreover, extensive sample pre-treatment steps are necessary prior to MS acquisition for even the most rapid and robust MS-based proteomics methodology, matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) MS followed by peptide mass fingerprinting (PMF) analysis. These include sample purification and fractionation, removal of digestion buffers or solvents, and spotting of sample with matrix onto the MALDI target. These multiple steps of time-consuming sample handling can result in high overall analysis costs and the likelihood of sample contamination and loss. In order to overcome some of these limitations in sample processing, we have investigated the use of a novel, simple, inexpensive 96-well elastomeric array that affixes to a MALDI target to create an on-target 96-well plate that accommodates a high solution volume (ca. 200 microL), thereby enabling the on-target processing of samples for MALDI-TOFMS. We explored several factors that influence MALDI sample preparation: type of matrix, solution volume, solution organic composition, solution drying rates and matrix/analyte co-crystallization methods. We also investigated the use of the 96-well elastomeric device for coupling MALDI-TOFMS analysis directly to high flow rate (1 mL/min) reversed-phase (rp)-HPLC. By developing an optimized, robust sample preparation protocol, we were able to obtain mass spectra with a high signal-to-noise ratio from peptide standards present at the 50-fmol level in large starting volumes of solution. PMF analyses were possible from 1-pmol and 500-fmol protein-digest standards. Coupling the device to high-flow HPLC (750 microL/min) yielded a robust and semi-automated means to obtain enhanced MALDI-TOFMS data at 500 ng of protein digest. These methodologies developed for this simple, on-target, elastomeric device show promise for streamlining the sample preparation process from HPLC to MALDI-MS.     

Automated integration of monolith-based protein separation with on-plate digestion for mass spectrometric analysis of esophageal adenocarcinoma human epithelial samples

A unique approach of automating the integration of monolithic capillary HPLC-based protein separation and on-plate digestion for subsequent MALDI-MS analysis has been developed. All liquid-handling procedures were performed using a robotic module. This automated high-throughput method minimizes the amount of time and extensive labor required for traditional in-solution digestion followed by exhaustive sample cleanup and analysis. Also, precise positioning of the droplet from the capillary HPLC separation onto the MALDI plate allows for preconcentration effects of analytes for improved sensitivity. Proteins from primary esophageal Barrett's adenocarcinoma tissue were prefractionated by chromatofocusing and analyzed successfully by this automated configuration, obtaining rapid protein identifications through PMF and sequencing analyses with high sequence coverage. Additionally, intact protein molecular weight values were obtained as a means to further confirm protein identification and also to identify potential sequence modifications of proteins. This simple and rapid method is a highly versatile and robust approach for the analysis of complex proteomes.     

MALDI imaging directed laser ablation tissue microsampling for data independent acquisition proteomics

A multimodal workflow for mass spectrometry imaging was developed that combines MALDI imaging with protein identification and quantification by liquid chromatography tandem mass spectrometry (LC‐MS/MS). Thin tissue sections were analyzed by MALDI imaging, and the regions of interest (ROI) were identified using a smoothing and edge detection procedure. A midinfrared laser at 3‐μm wavelength was used to remove the ROI from the brain tissue section after MALDI mass spectrometry imaging (MALDI MSI). The captured material was processed using a single‐pot solid‐phase‐enhanced sample preparation (SP3) method and analyzed by LC‐MS/MS using ion mobility (IM) enhanced data independent acquisition (DIA) to identify and quantify proteins; more than 600 proteins were identified. Using a modified database that included isoform and the post‐translational modifications chain, loss of the initial methionine, and acetylation, 14 MALDI MSI peaks were identified. Comparison of the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways of the identified proteins was achieved through an evolutionary relationships classification system.     

Technical innovations for the automated identification of gel-separated proteins by MALDI-TOF mass spectrometry

The combination of gel-based two-dimensional protein separations with protein identification by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS) is the workhorse for the large-scale analyses of proteomes. Such high-throughput proteomic approaches require automation of all post-separation steps and the in-gel digest of proteins especially is often the bottleneck in the protein identification workflow. With the objective of reaching the same high performance of manual low-throughput in-gel digest procedures, we have developed a novel stack-type digestion device and implemented it into a commercially available robotic liquid handling system. This modified system is capable of performing in-gel digest, extraction of proteolytic peptides, and subsequent sample preparation for MALDI-MS without any manual intervention, but with a performance at least identical to manual procedures as indicated on the basis of the sequence coverage obtained by peptide mass fingerprinting. For further refinement of the automated protein identification workflow, we have also developed a motor-operated matrix application device to reproducibly obtain homogenous matrix preparation of high quality. This matrix preparation was found to be suitable for the automated acquisition of both peptide mass fingerprint and fragment ion spectra from the same sample spot, a prerequisite for high confidence protein identifications on the basis of peptide mass and sequence information. Due to the implementation of the stack-type digestion device and the motor-operated matrix application device, the entire platform works in a reliable, cost-effective, and sensitive manner, yielding high confidence protein identifications even for samples in the concentration range of as low as 100 fmol protein per gel plug.      

Automated MALDI-TOF-MS sample preparation in combinatorial polymer research

A new automated matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS) sample spotting technique that allows the integration of MALDI sample preparation in the workflow of combinatorial polymer research is described. The technique is performed utilizing a commercially available synthetic robot and was first evaluated with polymer standards of known composition and later on used for the monitoring of the living cationic ring-opening polymerization of 2-ethyl-2-oxazoline. The spotting was carried out as a multiple layer approach, which offers the ability of complex sample preparation without the requirement of premixing the different components. The described technique reduces the time required for sample preparation and offers the possibility of automated sample spotting during polymerization reactions performed in a synthetic robot. This allows the integration of molecular weight screening and polymer end/group determination utilizing MALDI-TOF-MS as a high-throughput tool in combinatorial polymer research.     

Continuous sample deposition from reversed-phase liquid chromatography to tracks on a matrix-assisted laser desorption/ionization precoated target for the analysis of protein digests

Peptide mass fingerprinting by matrix-assisted laser desorption/ionization (MALDI)-mass spectrometry (MS) is one of the standard high-throughput methods for protein identification today. Traditionally this method has been based on spotting peptide mixtures onto MALDI targets. While this method works well for more abundant proteins, low-abundance proteins mixed with high-abundance proteins tend to go undetected due to ion suppression effects, instrumental dynamic range limitations and chemical noise interference. We present an alternative approach where liquid chromatography (LC) effluent is continuously collected as linear tracks on a MALDI target. In this manner the chromatographic separation is spatially preserved on the target, which enables generation of off-line LC-MS and LC-MS/MS data by MALDI. LC-MALDI sample collection provides improved sensitivity and dynamic range, spatial resolution of peptides along the sample track, and permits peptide mass mapping of low-abundance proteins in mixtures containing high-abundance proteins. In this work, standard and ribosomal protein digests are resolved and captured using LC-MALDI sample collection and analyzed by MALDI-TOF-MS.     

Interpretation of mass spectrometry data for high-throughput proteomics

Recent developments in proteomics have revealed a bottleneck in bioinformatics: high-quality interpretation of acquired MS data. The ability to generate thousands of MS spectra per day, and the demand for this, makes manual methods inadequate for analysis and underlines the need to transfer the advanced capabilities of an expert human user into sophisticated MS interpretation algorithms. The identification rate in current high-throughput proteomics studies is not only a matter of instrumentation. We present software for high-throughput PMF identification, which enables robust and confident protein identification at higher rates. This has been achieved by automated calibration, peak rejection, and use of a meta search approach which employs various PMF search engines. The automatic calibration consists of a dynamic, spectral information-dependent algorithm, which combines various known calibration methods and iteratively establishes an optimised calibration. The peak rejection algorithm filters signals that are unrelated to the analysed protein by use of automatically generated and dataset-dependent exclusion lists. In the "meta search" several known PMF search engines are triggered and their results are merged by use of a meta score. The significance of the meta score was assessed by simulation of PMF identification with 10,000 artificial spectra resembling a data situation close to the measured dataset. By means of this simulation the meta score is linked to expectation values as a statistical measure. The presented software is part of the proteome database ProteinScape which links the information derived from MS data to other relevant proteomics data. We demonstrate the performance of the presented system with MS data from 1891 PMF spectra. As a result of automatic calibration and peak rejection the identification rate increased from 6% to 44%.Abbreviations 2-DE Two-dimensional gel electrophoresis - MALDI Matrix-assisted laser desorption ionisation - PMF Peptide mass fingerprinting - MS Mass spectrometry - TOF Time of flight     

CHASE, a charge-assisted sequencing algorithm for automated homology-based protein identifications with matrix-assisted laser desorption/ionization time-of-flight post-source decay fragmentation data

We describe CHASE, a novel algorithm for automated de novo sequencing based on the mass spectrometric (MS) fragmentation analysis of tryptic peptides. This algorithm is used for protein identification from sequence similarity criteria and consists of four steps: (1) derivatization of tryptic peptides at the N-terminus with a negatively charged reagent; (2) post-source decay (PSD) fragmentation analysis of peptides; (3) interpretation of the mass peaks with the CHASE algorithm and reconstruction of the amino acid sequence; (4) transfer of these data to software for protein identifications based on sequence homology (Basic Local Alignment Search Tool, BLAST). This procedure deduced the correct amino acid sequence of tryptic peptide samples and also was able to deduce the correct sequence from difficult mass patterns and identify the amino acid sequence. This allows complete automation of the process starting from MS fragmentation of complex peptide mixtures at low concentration (e.g. from silver-stained gel bands) to identification of the protein. We also show that if PSD data are collected in a single spectrum (instead of the segmented mode offered by conventional matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) instrumentation), the complete workflow from MS-PSD data acquisition to similarity-based identification can be completely automated. This strategy may be applied to proteomic studies for protein identification based on automated de novo sequencing instead of MS or tandem MS patterns. We describe the Charge Assisted Sequencing Engine (CHASE) algorithm, the working protocol, the performance of the algorithm on spectra from MALDI-TOFMS and the data comparison between a TOF and a TOF-TOF instrument.     

Improved peptide mass fingerprinting matches via optimized sample preparation in MALDI mass spectrometry

Peptide mass fingerprinting (PMF) is a powerful technique in which experimentally measured m/z values of peptides resulting from a protein digest form the basis for a characteristic fingerprint of the intact protein. Due to its propensity to generate singly charged ions, along with its relative insensitivity to salts and buffers, matrix-assisted laser desorption and ionization (MALDI)-time-of-flight mass spectrometry (TOFMS) is the MS method of choice for PMF. The qualitative features of the mass spectrum can be selectively tuned by employing different methods to prepare the protein digest and matrix for MALDI-TOFMS. The selective tuning of MALDI mass spectra in order to optimize PMF is addressed here. Bovine serum albumin, carbonic anhydrase, cytochrome c, hemoglobin alpha- and beta-chain, and myoglobin were digested with trypsin and then analyzed by MALDI-TOFMS. 2,5-dihydroxybenzoic acid (DHB) and alpha-cyano-4-hydroxycinnamic acid (CHCA) were prepared using six different sample preparation methods: dried droplet, application of protein digest on MALDI plate followed by addition of matrix, dried droplet with vacuum drying, overlayer, sandwich, and dried droplet with heating. Improved results were obtained for the matrix alpha-cyano-4-hydroxycinnamic acid using a modification of the died droplet method in which the MALDI plate was heated to 80 °C prior to matrix application, which is supported by observations from scanning electron microscopy. Although each protein was found to have a different optimum sample preparation method for PMF, in general higher sequence coverage for PMF was obtained using DHB. The best PMF results were obtained when all of the mass spectral data for a particular protein digest was convolved together.     

Spectral quality assessment and application for gel-based matrix-assisted laser desorption ionization-time of flight tandem mass spectrometer

Gel-based matrix-assisted laser desorption ionization-time of flight tandem mass spectrometer (MALDI TOF/TOF MS) is one of the dominant methods of current proteomics, utilizing both peptide mass fingerprinting (PMF) and peptide fragment fingerprinting (PFF) for protein identification on a spot-to-spot basis. However, the unique impact of the quality of the corresponding mass spectrometry spectra remains largely unreported, and has motivated the development and use of an automatic spectra-assessment method. In this study, a multi-variant regression approach has been utilized to assess spectral quality for both PMF and PFF spectra obtained from MALDI TOF/TOF MS. The assessment index has been applied to investigations of MASCOT search results. Systematic examination of two large-scale sets of human liver tissue data has proved that spectral quality was a key factor in significant matching. Based on large-scale investigations on individual PMF search, individual PFF search and their combination, respectively, the filtering of bad quality spectra or spots proves to be an efficient way to improve search efficiency of all search modes in MASCOT. Meanwhile, a validation method based on score differences between normal and decoy (reverse or random) database searches is proposed to precisely define the positive matches. Further analysis showed that spectral quality assessment was also efficient in representing the quality of 2-DE gel spots and promoted the discovery of potential post-translation modifications.     

The effect of Tween80 on signal intensity of intact proteins by MALDI time-of-flight mass spectrometry

Buffers and detergents are notorious for suppression of analyte signal in electrospray and MALDI mass spectrometry and, invariably, analysts will take steps to remove these contaminants before MS analysis. However, we have found serendipitously that protein signal with MALDI MS is improved by about an order of magnitude on the addition of small amounts of Tween80. Four charged states of BSA could easily be seen at less than 125 fmol/spot and with mixture of three proteins (BSA, trypsinogen, and protein A) the molecular ions could be detected on as little as 12.5 fmol of spotted material (per protein) using an automated laser firing sequence.     

Matrix-free mass spectrometric imaging using laser desorption ionisation Fourier transform ion cyclotron resonance mass spectrometry

Mass spectrometry imaging (MSI) is a powerful tool in metabolomics and proteomics for the spatial localization and identification of pharmaceuticals, metabolites, lipids, peptides and proteins in biological tissues. However, sample preparation remains a crucial variable in obtaining the most accurate distributions. Common washing steps used to remove salts, and solvent-based matrix application, allow analyte spreading to occur. Solvent-free matrix applications can reduce this risk, but increase the possibility of ionisation bias due to matrix adhesion to tissue sections. We report here the use of matrix-free MSI using laser desorption ionisation performed on a 12 T Fourier transform ion cyclotron resonance (FTICR) mass spectrometer. We used unprocessed tissue with no post-processing following thaw-mounting on matrix-assisted laser desorption ionisation (MALDI) indium-tin oxide (ITO) target plates. The identification and distribution of a range of phospholipids in mouse brain and kidney sections are presented and compared with previously published MALDI time-of-flight (TOF) MSI distributions.     

Solution prepolymerization as a new route for preparing aliphatic polyurethane prepolymers using high‐throughput experimentation

High‐throughput experimentation (HTE) represents a promising and versatile approach for polyurethane (PU) research as a tool to screen and characterize a large number of samples in an automated way. For the realization of a HTE workflow for PUs, the use of a Chemspeed Accelerator? SLT106 automated parallel synthesizer was explored. To evaluate the possibility of these techniques for PUs, we studied the synthesis of prepolymers from isophorone diisocyanate and polypropylene glycol in mass and solution. Several optimization steps, transfer to solution polymerization, and downscaling prepolymerizations have been carried out in a manual way before implementing them into the Chemspeed Accelerator?. As a next step, reproducibility investigations and kinetic studies were performed in an automated manner. All experiments were evaluated by characterization with gel permeation chromatography, MALDI–TOF mass spectrometry and ¹H NMR spectroscopy. These results provide a basis to use the HTE technique for screening different PU prepolymers in the future. © 2009 Wiley Periodicals, Inc. J Polym Sci Part A: Polym Chem 47: 3729–3739, 2009     

Protein identification based on matrix assisted laser desorption/ionization-post source decay-mass spectrometry.

Due to its very short analysis time, its high sensitivity and ease of automation, matrix-assisted laser desorption/ionization (MALDI)-peptide mass fingerprinting has become the preferred method for identifying proteins of which the sequences are available in databases. However, many protein samples cannot be unambiguously identified by exclusively using their peptide mass fingerprints (e.g., protein mixtures, heavily posttranslationally modified proteins and small proteins). In these cases, additional sequence information is needed and one of the obvious choices when working with MALDI-mass spectrometry (MS) is to choose for post source decay (PSD) analysis on selected peptides. This can be performed on the same sample which is used for peptide mass fingerprinting. Although in this type of peptide analysis, fragmentation yields are very low and PSD spectra are often very difficult to interpret manually, we here report upon our five years of experience with the use of PSD spectra for protein identification in sequence (protein or expressed sequence tag (EST)) databases. The combination of peptide mass fingerprinting and PSD and analysis described here generally leads to unambiguous protein identification in the amount of material range generally encountered in most proteome studies.     

Protein identification with Teflon as matrix-assisted laser desorption/ionization sample support

Protein identification is a critical step in proteomics, and matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOFMS) plays an important role in that identification. Polytetrafluoroethylene (Teflon) was tested as a new MALDI sample support to improve protein identification. The tryptic peptides obtained from a model protein were bound to the surface of a modified MALDI sample holder via the hydrophobic interactions that occur between the Teflon surface and the peptide ion-pairs, and the affinity of alpha-cyano-4-hydroxycinnamic acid for the peptides. During that surface-binding step, the peptide mixture was also desalted and concentrated. A greater number of matched peptides and a larger sequence coverage were obtained for the proteins when Teflon was used as the sample support compared with conventional sample preparation methods and a stainless-steel surface. In addition, the characterization of a small amount of protein was improved with Teflon. Nine silver-stained protein spots obtained from 2-D gel of a human cerebrospinal fluid (CSF) proteome were identified by this method. Among the nine protein spots, peptide 6:c3c fragment and procollagen c-proteinase enhancer were not annotated in any published 2-D map of human CSF. A Teflon MALDI sample support is a low-cost, simple, and effective method that can be used to improve the quality of the MALDI mass spectrum of a complex tryptic peptide mixture, and to achieve a higher level of reliability and success in protein identification.     

Rapid and sensitive identification of epitope-containing peptides by direct matrix-assisted laser desorption/ionization tandem mass spectrometry of peptides affinity-bound to antibody beads

A method has been developed for rapid and sensitive identification of epitope-containing peptides, based on direct MALDI-MS/MS analysis of epitope-containing peptides affinity bound to affinity beads. This technique provides sequence information of the epitope that allows unambiguous identification of the epitope either by database searching or de novo sequencing. With MALDI-MS, affinity beads with bound peptides can be placed directly on the MALDI target and analyzed. Coupling a MALDI source to an orthogonal injection quadrupole time-of-flight (QqTOF) mass spectrometer allows direct sequencing of the bound peptides. In contrast to ESI-MS/MS, elution of the affinity-bound peptides followed by additional concentration and purification steps is not required, thus reducing the potential for sample loss. Direct mass spectrometric sequencing of affinity-bound peptides eliminates the need for chemical or enzymatic sequencing. Other advantages of this direct MALDI-MS/MS analysis of epitope-containing peptides bound to the affinity beads include its sensitivity (femtomole levels) and speed. In addition, direct analysis of peptides on affinity beads does not adversely affect the high mass accuracy of a QqTOF, and database searching can be performed on the MS/MS spectra obtained. In proof-of-principle experiments, this method has been demonstrated on beads containing immobilized antibodies against phosphotyrosine, the c-myc epitope tag, as well as immobilized avidin. Furthermore, de novo sequencing of epitope-containing peptides is demonstrated. The first application of this method was with anti-FLAG-tag affinity beads, where direct MALDI MS/MS was used to determine an unexpected enzymatic cleavage site on a growth factor protein.     

Automated gravimetric sample pretreatment using an industrial robot for the high-precision determination of plutonium by isotope dilution mass spectrometry.

A robotized sample-preparation method for the determination of Pu, which is recovered by extraction reprocessing of spent nuclear fuel, by isotope dilution mass spectrometry (IDMS) is described. The automated system uses a six-axis industrial robot, whose motility is very fast, accurate, and flexible, installed in a glove box. The automation of the weighing and dilution steps enables operator-unattended sample pretreatment for the high-precision analysis of Pu in aqueous solutions. Using the developed system, the Pu concentration in a HNO(3) medium was successfully determined using a set of subsequent mass spectrometric measurements. The relative uncertainty in determining the Pu concentration by IDMS using this system was estimated to be less than 0.1% (k = 2), which is equal to that expected of a talented analyst. The operation time required was the same as that for a skilled operator.     

Automated nanoflow liquid chromatography/tandem mass spectrometric identification of proteins from Shewanella putrefaciens separated by two-dimensional polyacrylamide gel electrophoresis

The implementation of nanoflow liquid chromatography offers unique opportunities for automation of proteomics research. We demonstrate that automated nanoflow LC/MS/MS allowed the unambiguous identification of proteins from the omnipotent bacterium Shewanella putrefaciens, based on similarity searches against the completely determined genome of related microorganisms and against non-redundant databases. Total protein extracts were separated by 2-dimensional polyacrylamide electrophoresis. Only 1/20th of a tryptic digest mixture obtained from a single Coomassie Blue stained spot was loaded on the nanoflow LC column using a preconcentration/desalting step, and analyzed on-line on a hybrid quadrupole time-of-flight mass spectrometer with an automated MS-to-MS/MS switching protocol. This method allowed the de novo peptide sequence determination of several tryptic fragments and the identification of different proteins. CopyrightCopyright 2000 John Wiley & Sons, Ltd.