Nucleic acid-based electrochemical biosensors.

Colorectal cancer, breast cancer, oxidative DNA damage, and viral infections are all significant and major health threats to human health, presenting substantial challenges in early diagnosis. In this regard, a wide range of nucleic acid-based electrochemical platforms have been widely employed as point-of-care diagnostics in health care and biosensing technologies. This review focuses on biosensor design strategies, underlying principles involved in the development of advanced electrochemical genosensing devices, approaches for immobilizing DNA on electrode surfaces, as well as their utility in early disease diagnosis, with a particular emphasis on cancer, leukaemia, oxidative DNA damage, and viral pathogen detection. Notably, the role of biorecognition elements and nanointerfaces employed in the design and development of advanced electrochemical genosensors for recognizing biomarkers related to colorectal cancer, breast cancer, leukaemia, oxidative DNA damage, and viral pathogens has been extensively reviewed. Finally, challenges associated with the fabrication of nucleic acid-based biosensors to achieve high sensitivity, selectivity, a wide detection range, and a low detection limit have been addressed. We believe that this review will provide valuable information for scientists and bioengineers interested in gaining a deeper understanding of the fabrication and functionality of nucleic acid-based electrochemical biosensors for biomedical diagnostic applications.

Enhanced CRISPR/Cas12a-based quantitative detection of nucleic acids using double emulsion droplets.

Pairing droplet microfluidics and CRISPR/Cas12a techniques creates a powerful solution for the detection and quantification of nucleic acids at the single-molecule level, due to its specificity, sensitivity, and simplicity. However, traditional water-in-oil (W/O) single emulsion (SE) droplets often present stability issues, affecting the accuracy and reproducibility of assay results. As an alternative, water-in-oil-in-water (W/O/W) double emulsion (DE) droplets offer superior stability and uniformity for droplet digital assays. Moreover, unlike SE droplets, DE droplets are compatible with commercially available flow cytometry instruments for high-throughput analysis. Despite these advantages, no study has demonstrated the use of DE droplets for CRISPR-based nucleic acid detection. In our study, we conducted a comparative analysis to assess the performance of SE and DE droplets in quantitative detection of human papillomavirus type 18 (HPV18) DNA based on CRISPR/Cas12a. We evaluated the stability of SEs and DEs by examining size variation, merging extent, and content interaction before and after incubation at different temperatures and time points. By integrating DE droplets with flow cytometry, we achieved high-throughput and high-accuracy CRISPR/Cas12a-based quantification of target HPV18 DNA. The DE platform, when paired with CRISPR/Cas12a and flow cytometry techniques, emerges as a reliable tool for absolute quantification of nucleic acid biomarkers.

A comprehensive guide to extract information from extracellular vesicles: a tutorial review towards novel analytical developments.

In the medical field, extracellular vesicles (EVs) are gaining importance as they act as cells mediators. These are phospholipid bilayer vesicles and contain crucial biochemical information about their mother cells being carrier of different biomolecules such as small molecules, proteins, lipids, and nucleic acids. After release into the extracellular matrix, they enter the systemic circulation and can be found in all human biofluids. Since EVs reflect the state of the cell of origin, there is exponential attention as potential source of new circulating biomarkers for liquid biopsy. The use of EVs in clinical practice faces several challenges that need to be addressed: these include the standardization of lysis protocols, the availability of low-cost reagents and the development of analytical tools capable of detecting biomarkers. The process of lysis is a crucial step that can impact all subsequent analyses, towards the development of novel analytical strategies. To aid researchers to support the evolution of measurement science technology, this tutorial review evaluates and discuss the most commonly protocols used to characterize the contents of EVs, including their advantages and disadvantages in terms of experimental procedures, time and equipment. The purpose of this tutorial review is to offer practical guide to researchers which are intended to develop novel analytical approaches. Some of the most significant applications are considered, highlighting their main characteristics divided per mechanism of action. Finally, comprehensive tables which provide an overview at a glance are provided to readers.

Convergence of Surface-Enhanced Raman Scattering with Molecular Diagnostics: A Perspective on Future Directions.

Molecular diagnostics (MD) is widely employed in multiple scientific disciplines, such as oncology, pathogen detection, forensic investigations, and the pharmaceutical industry. Techniques such as polymerase chain reaction (PCR) revolutionized the rapid and accurate identification of nucleic acids (DNA, RNA). More recently, CRISPR and its CRISPR-associated protein (Cas) have been a ground-breaking discovery that is the latest revolution in molecular biology, including MD. Surface-enhanced Raman scattering (SERS) is a very attractive alternative to fluorescence as the currently most widely used optical readout in MD. In this Perspective, milestones in the development of MD, SERS-PCR, and next-generation approaches to MD, such as Specific High-Sensitivity Enzymatic Reporter UnLOCKing (SHERLOCK) and DNA Endonuclease-Targeted CRISPR Trans Reporter (DETECTR), are briefly summarized. Our perspective on the future convergence of SERS with MD is focused on SERS-based CRISPR/Cas (SERS-CRISPR) since we anticipate many promising applications in this rapidly emerging field. We predict that major future developments will exploit the advantages of real-time monitoring with the superior brightness, photostability, and spectral multiplexing potential of SERS nanotags in an automated workflow for rapid assays under isothermal, amplification-free conditions.

Quality and Quantity of Nucleic Acids Extracted from Formalin-Fixed Paraffin-Embedded Lymphoma Biopsies from Nigerian Archived Biopsy.

BACKGROUND: Integrity of nucleic acids derived from archived formalin-fixed paraffin-embedded (FFPE) cancer specimens affects diagnosis, prognosis, and therapy. Several factors affect the quality and quantity of extracted nucleic acids and one of such factors is storage period. AIM: We investigated the impact of storage duration on the quality and quantity of nucleic acids extracted from archived FFPE lymphoma biopsies in Nigeria. MATERIALS AND METHODS: A total of 53 FFPE biopsies diagnosed as lymphoma stored over several years (2008-2019) were analyzed. They were 22 chronic lymphocytic leukemia (CLL) cases, 17 Hodgkin lymphoma (HL) cases, and 14 diffuse large B-cell lymphoma, not otherwise specified (DLBCL, NOS). DNA was extracted from all the lymphoma samples which were analyzed for integrity and amplifiability using the four pairs of control genes polymerase chain reaction (PCR) primers of BIOMED-2 protocol, whereas RNA extraction was from 6 CLL cases used for qPCR analysis of RNU43. RESULTS: For CLL, the mean DNA yield was 193.6 ng/µl (range: 3.0-533.0 ng/µl), whereas the mean A260/A280 ratio was 1.7 (1.2-1.9). For DLBCL, NOS, and HL, 255.5 ng/µl (range: 32.9-605.4 ng/µl), 1.8 (1.5-2.0) and 242.7 ng/µl (range: 1.3-886.0 ng/µl), and 1.7 (0.9-1.8), respectively. The extracted DNA gave amplifiable products of at least 200bp, whereas the RNA analysis showed CT values of <38 in all the samples. The mean RNA yield was 462.2 ng/µl (range: 74.7-1082.1), whereas the mean A260/A280 was 1.7 (1.5-1.8). CONCLUSION: Quantity and quality of nucleic acids from FFPE tissues stored for different time periods showed no significant difference in yield and quality.

Ultra-fast, sensitive and low-cost real-time PCR system for nucleic acid detection.

Nucleic acid detection directly identifies the presence of pathogenic microorganisms and has various advantages, such as high sensitivity, commendable specificity and a short window period, and has been widely used in many fields, such as early tumor screening, prenatal diagnosis and infectious disease detection. Real-time PCR (polymerase chain reaction) is the most commonly used method for nucleic acid detection in clinical practice, but it always takes about 1-3 hours, severely limiting its application in particular scenarios such as emergency testing, large-scale testing and on-site testing. To solve the time-consuming problem, a real-time PCR system based on multiple temperature zones was proposed, which realized the speed of temperature change of biological reagents from 2-4 °C s-1 to 13.33 °C s-1. The system integrates the advantages of fixed microchamber-type and microchannel-type amplification systems, including a microfluidic chip capable of fast heat transfer and a real-time PCR device with a temperature control strategy based on the temperature difference. The detection of HCMV biological samples using the real-time PCR system in this research took only 15 min, which was 75% shorter compared to the commercial qPCR instrument such as BIO-RAD, and the detection sensitivity remained essentially the same. The system could complete nucleic acid detection within 9 min under extreme conditions, characterized by fast detection speed and high sensitivity, providing a promising solution for ultra-fast nucleic acid detection.

Rapid automatic nucleic acid purification system based on gas-liquid immiscible phase.

The continuous expansion of nucleic acid detection applications has resulted in constant developments in rapid, low-consumption, and highly automated nucleic acid extraction methods. Nucleic acid extraction using magnetic beads across an immiscible phase interface offers significant simplification and parallelization potential. The gas-liquid immiscible phase valve eliminates the requirement for complicated cassettes and is suitable for automation applications. By analyzing the process of magnetic beads crossing the gas-liquid interface, we utilized a low magnetic field strength to drive large magnetic bead packages to cross the gas-liquid interface, providing a solution of high magnetic bead recovery rate for solid-phase extraction with a low-surfactant system based on gas-liquid immiscible phase valve. The recovery rate of magnetic beads was further improved to 90%-95% and the carryover of the reagents was below 1%. Consequently, a chip and an automatic system were developed to verify the applicability of this method for nucleic acid extraction. The Hepatitis B virus serum standard was used for the extraction test. The extraction of four samples was performed within 7 minutes, with nucleic acid recovery maintained above 80% and good purity. Thus, through analysis and experiments, a fast, highly automated, and low-consumption nucleic acid recovery method was proposed in this study.

Comparative proteomic profiling of Small Extracellular vesicles derived from iPSCs and tissue specific mesenchymal stem cells.

BACKGROUND: Small Extracellular vesicles (EV) are emerging as crucial intercellular messengers that contribute to the physiological processes. EVs contain numerous functional proteins and nucleic acids derived from their parent cells and have different roles depending on their origin. Functionally, EVs transfer these biological materials from the parent cell to the recipient and thus exhibits a novel therapeutic platform for delivering therapeutics molecules to the target tissue. In this regard, EVs derived from stem cells such as Mesenchymal Stem Cells and iPSCs have demonstrated a higher ability to benefit regenerative medicine. Even though these stem cells share some common properties, due to the differences in their origin (cell sources, the hierarchy of potency, etc) the EVs cargo profiling and functionality may vary. METHOD: We used iTRAQ-based proteomic analysis to conduct a comprehensive and quantitative evaluation of EVs derived from iPSCs and various tissue-specific MSCs in this study. Additionally, the data was analyzed using a variety of bioinformatic tools, including ProteinPilot for peptide and protein identification and quantification; Funrich, GO, Reactome, and KEGG (Kyoto Encyclopedia of Genes and Genomes) for pathway enrichment; the STRING database, and the inBio Discover tool for identifying known and predicted Protein-Protein networks. RESULTS: Bioinformatics analysis revealed 223 differentially expressed proteins in these EVs; however, Wharton's jelly MSC-EV contained more exclusive proteins with higher protein expression levels. Additionally, 113 proteins were abundant in MSC-EVs, while others were shared between MSC-EVs and iPSC-EVs. Further, based on an in-depth examination of the proteins, their associated pathways, and their interactions with other proteins, it was determined that these proteins are involved in bone regeneration (9.3%), wound healing (4.4%), immune regulation (8.9%), cardiac regeneration (6.6%), neuro regeneration (8.9%), and hepatic regeneration (3.5%). CONCLUSION: Overall, the results of our proteomic analysis indicate that EVs derived from MSCs have a more robust profile of proteins with higher expression levels than iPSCs. This is a significant finding, as it demonstrates the critical therapeutic role of EVs in a variety of diseases, as demonstrated by enrichment analysis, their versatility, and broad application potential.

Rapid nucleic acid extraction from skin biopsies using a point-of-care device.

Sample processing is often the rate-limiting step for point-of-care nucleic acid testing, especially for large, robust tissues such as skin biopsies, which can be used to diagnose a variety of dermatological diseases. Extraction of nucleic acids from these samples often relies on lengthy enzymatic digestions, increasing the time to result and reducing the potential impact of rapid molecular diagnostic approaches. To address this, we have developed BLENDER, a device for rapid nucleic acid extraction from tissue biopsies that combines bead-beating homogenization with simultaneous sample heating for enzymatic lysis. Our device can produce a complete DNA yield from a 3 mm cylindrical skin biopsy with only a 15 minute extraction compared to 4 hours when using a commercially available extraction protocol. Decreasing sample-processing time for tissue biopsies could reduce time-to-result for downstream analysis, enabling faster point-of-care diagnosis of solid cancers in limited resource settings.

Optimization of pre-analytical and analytical steps for DNA and RNA analysis of fresh cytology samples.

BACKGROUND: Different cytology preparations can be used for molecular diagnostics, however the influence of pre-analytical and analytical steps on the results are not yet well defined. We aimed to determine optimal steps for efficient extraction of DNA and RNA from fresh cells for molecular diagnostics. METHODS: MCF7 and FaDu human cell lines, were used as a model to determine fresh cells storage conditions (temperature: 25°C, 4°C, -20°C, -80°C; duration: 0 h, 4 h, 12 h, 24 h, 48 h) and optimal nucleic acids extraction method. Besides, the minimal number of total cells and minimal percentage of mutated cells needed for successful extraction of nucleic acids and subsequent determination of present mutation were evaluated. RESULTS: Extraction of nucleic acids using spin columns yielded the highest quantity and quality of nucleic acids. Isolation of nucleic acids was feasible in all storage conditions, however higher temperature and longer duration of fresh cells storage were associated with lower quality of isolated nucleic acids and similar quantification cycle of housekeeping genes. Successful molecular testing was feasible with least 104 cells, while specific mutation was detected in as low as 5% of mutated cells. CONCLUSIONS: Our cell line model, mimicking fresh cytology samples, showed that quantity of extracted either DNA or RNA declined with higher temperatures and longer duration of storage but regardless of the storage conditions, we successfully detected both housekeeping genes and mutated gene using qPCR.

Distinguishing functional exosomes and other extracellular vesicles as a nucleic acid cargo by the anion-exchange method.

The development of a new large-scale purification protocol is required for research on the reliable bioactivity and drug discovery of extracellular vesicles (EVs). To address this issue, herein, we propose an effective method for preparing high-performance exosomes (EXOs) by using an anion-exchange method. Cytotoxic T-lymphocyte (CTL) EVs from 4 L of culture supernatant through a 220 nm cut-off filter are divided into two populations at a deproteinization rate of over 99.97%, which are eluted at low (0.15 M-0.3 M) and high (0.3 M-0.5 M) NaCl concentrations (approximately 2 × 1012 and 1.5 × 1012 particles, respectively) through the anion-exchange column chromatography. The former are abundant in EXO proteins, including late endosome-associated proteins and rab-family and integrin-family proteins, and functional micro (mi) RNAs, and have bioactivity for preventing tumour metastasis by depleting mesenchymal cell populations in the primary tumour lesions. By contrast, the latter is microvesicle (MV)-like particles including DNA, core histone and ribosomal proteins, and GC-rich miRNAs with unknown function, and are easily phagocytosed by mannose receptor+ Kupffer cells. Thus, the anion-exchange method is suitable for the large-scale separation of bioactive EXOs and MV-like EVs as a cargo for dangerous nucleic acids at high-purity.

Aspects of Biological Replication and Evolution Independent of the Central Dogma: Insights from Protein-Free Vesicular Transformations and Protein-Mediated Membrane Remodeling.

Biological membrane remodeling is central to living systems. In spite of serving as "containers" of whole-living systems and functioning as dynamic compartments within living systems, biological membranes still find a "blue collar" treatment compared to the "white collar" nucleic acids and proteins in biology. This may be attributable to the fact that scientific literature on biological membrane remodeling is only 50 years old compared to ~ 150 years of literature on proteins and a little less than 100 years on nucleic acids. However, recently, evidence for symbiotic origins of eukaryotic cells from data only on biological membranes was reported. This, coupled with appreciation of reproducible amphiphilic self-assemblies in aqueous environments (mimicking replication), has already initiated discussions on origins of life beyond nucleic acids and proteins. This work presents a comprehensive compilation and meta-analyses of data on self-assembly and vesicular transformations in biological membranes-starting from model membranes to establishment of Influenza Hemagglutinin-mediated membrane fusion as a prototypical remodeling system to a thorough comparison between enveloped mammalian viruses and cellular vesicles. We show that viral membrane fusion proteins, in addition to obeying "stoichiometry-driven protein folding", have tighter compositional constraints on their amino acid occurrences than general-structured proteins, regardless of type/class. From the perspective of vesicular assemblies and biological membrane remodeling (with and without proteins) we find that cellular vesicles are quite different from viruses. Finally, we propose that in addition to pre-existing thermodynamic frameworks, kinetic considerations in de novo formation of metastable membrane structures with available "third-party" constituents (including proteins) were not only crucial for origins of life but also continue to offer morphological replication and/or functional mechanisms in modern life forms, independent of the central dogma.

Recent advances of fluorescent biosensors based on cyclic signal amplification technology in biomedical detection.

The cyclic signal amplification technology has been widely applied for the ultrasensitive detection of many important biomolecules, such as nucleic acids, proteins, enzymes, adenosine triphosphate (ATP), metal ions, exosome, etc. Due to their low content in the complex biological samples, traditional detection methods are insufficient to satisfy the requirements for monitoring those biomolecules. Therefore, effective and sensitive biosensors based on cyclic signal amplification technology are of great significance for the quick and simple diagnosis and treatment of diseases. Fluorescent biosensor based on cyclic signal amplification technology has become a research hotspot due to its simple operation, low cost, short time, high sensitivity and high specificity. This paper introduces several cyclic amplification methods, such as rolling circle amplification (RCA), strand displacement reactions (SDR) and enzyme-assisted amplification (EAA), and summarizes the research progress of using this technology in the detection of different biomolecules in recent years, in order to provide help for the research of more efficient and sensitive detection methods.

CRISPR/Cas12a Powered DNA Framework-Supported Electrochemical Biosensing Platform for Ultrasensitive Nucleic Acid Analysis.

Nucleic acid analysis using ultrasensitive and simple methods is critically important for the early-stage diagnosis and treatment of diseases. The CRISPR/Cas proteins, guided by a single-stranded RNA have shown incredible capability for sequence-specific targeting and detection. Herein, in order to improve and expand the application of CRISPR/Cas technology to the electrochemical interface-based nucleic acids analysis, the authors develop a CRISPR/Cas12a powered DNA framework-supported electrochemical biosensing platform via the cis and trans cleavage of Cas12a on the heterogeneous carbon interface (the existing publications which commonly adopted trans-cleavage). Their solid-liquid interface is first immobilized by 3D tetrahedral framework nucleic acids (FNAs) with specific DNA recognition probe. Based on the recognition of the complementary target through protospacer adjacent motif (PAM) confirmation and CRISPR-derived RNA (crRNA) matching, the easily formed Cas12a/crRNA duplex can get access to the interface, and the cis and trans cleavage of Cas12a can be easily activated. In combination with the enzyme catalyzed reaction, they achieved an ultralow limit of detection (LOD) of 100 fm in HPV-16 detection without pre-amplification. Furthermore, the platform is compatible with a spike-in human serum sample and has superior stability. Thus, their reported platform offers a practical, versatile, and amplification-free toolbox for ultrasensitive nucleic acid analysis.

Single-cell nucleic acid profiling in droplets (SNAPD) enables high-throughput analysis of heterogeneous cell populations.

Experimental methods that capture the individual properties of single cells are revealing the key role of cell-to-cell variability in countless biological processes. These single-cell methods are becoming increasingly important across the life sciences in fields such as immunology, regenerative medicine and cancer biology. In addition to high-dimensional transcriptomic techniques such as single-cell RNA sequencing, there is a need for fast, simple and high-throughput assays to enumerate cell samples based on RNA biomarkers. In this work, we present single-cell nucleic acid profiling in droplets (SNAPD) to analyze sets of transcriptional markers in tens of thousands of single mammalian cells. Individual cells are encapsulated in aqueous droplets on a microfluidic chip and the RNA markers in each cell are amplified. Molecular logic circuits then integrate these amplicons to categorize cells based on the transcriptional markers and produce a detectable fluorescence output. SNAPD is capable of analyzing over 100,000 cells per hour and can be used to quantify distinct cell types within heterogeneous populations, detect rare cells at frequencies down to 0.1% and enrich specific cell types using microfluidic sorting. SNAPD provides a simple, rapid, low cost and scalable approach to study complex phenotypes in heterogeneous cell populations.

Deciphering Intracellular Signaling Pathways in Tumoral Pathologies.

The heterogeneity of diseases such as cancer makes it necessary to use high-throughput screening techniques to obtain the maximum number of parameters and characteristics of tumors. These obtained biomarkers can be used for the prediction, prognosis, and treatment or search for new therapeutic targets. In this sense, microarray technology allows exhaustive analysis in a short time and from a great variety of biological samples, becoming a fundamental tool in biomedical research projects. Here, operational process of protein microarrays based on the antibody-antigen interaction is described, emphasizing their application in intracellular signaling pathways in tumoral pathologies. In addition, a final validation using nucleic acid programmable protein array (NAPPA) technology in a simple ELISA assay was included to decipher functional characterization of featured proteins from microarray screening.

Prognostic biomarkers for cholangiocarcinoma (CCA): state of the art.

Introduction:Although advances in understanding the molecular basis of cholangiocarcinoma (CCA) have been made, surgery is the only curative therapy option and the overall prognosis of patients suffering from the disease remains poor. Therefore, estimation of prognosis based on known and novel biomarkers is essential for therapy guidance of CCA in both, curative and palliative settings.Areas covered:An extensive literature search on biomarkers for CCA with special emphasis on prognosis was performed. Based on this, prognostic biomarkers from serum, tumor tissue and other compartments that are currently in use or under evaluation for CCA were summarized in this review. Furthermore, an overview of new biomarkers was provided including those determined from extracellular vesicles (EVs), metabolites and nucleic acids. Finally, prognostic markers associated with potential new therapy options for the treatment of CCA were summed up.Expert opinion:So far, an optimal prognostic biomarker for CCA has not been described. However, based on the increasing knowledge about the molecular basis of CCA but also due to novel, innovative technologies, a plethora of novel prognostic biomarkers is currently under evaluation and will be available for CCA in future.

Extracellular Vesicles in Liquid Biopsies: Potential for Disease Diagnosis.

Liquid biopsy is conducted through minimally invasive or noninvasive procedures, and the resulting material can be subjected to genomic, proteomic, and lipidomic analyses for early diagnosis of cancers and other diseases. Extracellular vesicles (EVs), one kind of promising tool for liquid biopsy, are nanosized bilayer particles that are secreted by all kinds of cells and that carry cargoes such as lipids, proteins, and nucleic acids, protecting them from enzymatic degradation in the extracellular environment. In this review, we provide a comprehensive introduction to the properties and applications of EVs, including their biogenesis, contents, sample collection, isolation, and applications in diagnostics based on liquid biopsy.

Harnessing molecular recognition for localized drug delivery.

A grand challenge in drug delivery is providing the right dose, at the right anatomic location, for the right duration of time to maximize therapeutic efficacy while minimizing off-target toxicity and other deleterious side-effects. Two general modalities are receiving broad attention for localized drug delivery. In the first, referred to as "targeted accumulation", drugs or drug carriers are engineered to have targeting moieties that promote their accumulation at a specific tissue site from circulation. In the second, referred to as "local anchoring", drugs or drug carriers are inserted directly into the tissue site of interest where they persist for a specified duration of time. This review surveys recent advances in harnessing molecular recognition between proteins, peptides, nucleic acids, lipids, and carbohydrates to mediate targeted accumulation and local anchoring of drugs and drug carriers.

Thyroid cytology smear slides: An untapped resource for ThyroSeq testing.

BACKGROUND: Molecular testing of thyroid nodules with indeterminate fine-needle aspiration (FNA) cytology is commonly used to guide patient management and is typically performed on freshly collected FNA samples. In this study, the authors evaluated the performance of the ThyroSeq test in cytology smear slides. METHODS: Air-dried Diff-Quik (DQ)-stained and alcohol-fixed Papanicolaou (Pap)-stained smears were used to determine required cellularity and sensitivity of mutation detection and to compare ThyroSeq v3 Genomic Classifier (GC) results obtained in cytology smears and fresh FNA samples from the same nodules. RESULTS: ThyroSeq testing of 31 cytology smears revealed that 25 smears (81%) were adequate for ThyroSeq analysis, including 14 Pap-stained smears (100%) and 11 DQ-stained smears (65%), whereas 6 DQ-stained smears (35%) failed RNA sequencing. The overall accuracy for detecting molecular alterations was 98%, with 100% concordance for mutations and gene expression alterations, 96% concordance for fusions, and 94% concordance for copy number alterations. Cytology smears were adequate for ThyroSeq analysis when at least 200 to 300 cells were present in 1 to 3 slides. ThyroSeq detected all studied mutations down to 5% allele frequency and BRAF mutations down to 1% allele frequency. Testing of smears yielded a positive ThyroSeq GC result in all nodules originally classified as positive. CONCLUSIONS: Thyroid FNA cytology smear slides with adequate cellularity can be successfully used for ThyroSeq GC testing in approximately 80% of cases, with an even higher success rate in Pap-stained smears. Compared with FNA samples collected into preservative solution, 94% to 100% of different genetic alterations could be accurately detected in smears, validating cytology smears as an alternative for ThyroSeq testing in patients with indeterminate thyroid cytology.