Whole-slide laser microdissection for tumour enrichment.

The practical application of genome-scale technologies to precision oncology research requires flexible tissue processing strategies that can be used to differentially select both tumour and normal cell populations from formalin-fixed, paraffin-embedded tissues. As tumour sequencing scales towards clinical implementation, practical difficulties in scheduling and obtaining fresh tissue biopsies at scale, including blood samples as surrogates for matched 'normal' DNA, have focused attention on the use of formalin-preserved clinical samples collected routinely for diagnostic purposes. In practice, such samples often contain both tumour and normal cells which, if correctly partitioned, could be used to profile both tumour and normal genomes, thus identifying somatic alterations. Here we report a semi-automated method for laser microdissecting entire slide-mounted tissue sections to enrich for cells of interest with sufficient yield for whole genome and transcriptome sequencing. Using this method, we demonstrated enrichment of tumour material from mixed tumour-normal samples by up to 67%. Leveraging new methods that allow for the extraction of high-quality nucleic acids from small amounts of formalin-fixed tissues, we further showed that the method was successful in yielding sequence data of sufficient quality for use in BC Cancer's Personalized OncoGenomics (POG) program. © 2020 The Pathological Society of Great Britain and Ireland. Published by John Wiley & Sons, Ltd.

Sources of erroneous sequences and artifact chimeric reads in next generation sequencing of genomic DNA from formalin-fixed paraffin-embedded samples.

Tissues used in pathology laboratories are typically stored in the form of formalin-fixed, paraffin-embedded (FFPE) samples. One important consideration in repurposing FFPE material for next generation sequencing (NGS) analysis is the sequencing artifacts that can arise from the significant damage to nucleic acids due to treatment with formalin, storage at room temperature and extraction. One such class of artifacts consists of chimeric reads that appear to be derived from non-contiguous portions of the genome. Here, we show that a major proportion of such chimeric reads align to both the 'Watson' and 'Crick' strands of the reference genome. We refer to these as strand-split artifact reads (SSARs). This study provides a conceptual framework for the mechanistic basis of the genesis of SSARs and other chimeric artifacts along with supporting experimental evidence, which have led to approaches to reduce the levels of such artifacts. We demonstrate that one of these approaches, involving S1 nuclease-mediated removal of single-stranded fragments and overhangs, also reduces sequence bias, base error rates, and false positive detection of copy number and single nucleotide variants. Finally, we describe an analytical approach for quantifying SSARs from NGS data.

Increasing quality, throughput and speed of sample preparation for strand-specific messenger RNA sequencing.

BACKGROUND: RNA-Sequencing (RNA-seq) is now commonly used to reveal quantitative spatiotemporal snapshots of the transcriptome, the structures of transcripts (splice variants and fusions) and landscapes of expressed mutations. However, standard approaches for library construction typically require relatively high amounts of input RNA, are labor intensive, and are time consuming. METHODS: Here, we report the outcome of a systematic effort to optimize and streamline steps in strand-specific RNA-seq library construction. RESULTS: This work has resulted in the identification of an optimized messenger RNA isolation protocol, a potent reverse transcriptase for cDNA synthesis, and an efficient chemistry and a simplified formulation of library construction reagents. We also present an optimization of bead-based purification and size selection designed to maximize the recovery of cDNA fragments. CONCLUSIONS: These developments have allowed us to assemble a rapid high throughput pipeline that produces high quality data from amounts of total RNA as low as 25 ng. While the focus of this study is on RNA-seq sample preparation, some of these developments are also relevant to other next-generation sequencing library types.

A high-throughput pipeline for DNA/RNA/small RNA purification from tissue samples for sequencing.

High-throughput total nucleic acid (TNA) purification methods based on solid-phase reversible immobilization (SPRI) beads produce TNA suitable for both genomic and transcriptomic applications. Even so, small RNA species, including miRNA, bind weakly to SPRI beads under standard TNA purification conditions, necessitating a separate workflow using column-based methods that are difficult to automate. Here, an SPRI-based high-throughput TNA purification protocol that recovers DNA, RNA and small RNA, called GSC-modified RLT+ Aline bead-based protocol (GRAB-ALL), which incorporates modifications to enhance small RNA recovery is presented. GRAB-ALL was benchmarked against existing nucleic acid purification workflows and GRAB-ALL efficiently purifies TNA, including small RNA, for next-generation sequencing applications in a plate-based format suitable for automated high-throughput sample preparation.

Androgen receptor and its splice variants in prostate cancer.

Androgen receptor (AR) is a transcription factor that becomes active upon binding to androgens via its ligand-binding domain (LBD) or in response to signaling cascades initiated by growth factors and cytokines. The activity of AR requires regions within the N-terminal domain (NTD) in a manner that is distinct from the activation of related steroid hormone receptors. Unequivocal evidence has been amassed to consider that the AR axis is the most critical pathway for the progression of prostate cancer. Qualitatively distinct insights into AR pathobiology have been garnered including that AR-regulated gene expression is stage-specifically modulated during disease progression and that the ligand requirement for AR activity could be rendered dispensable because of the expression of constitutively active AR splice variants that are devoid of LBD. The recent appreciation of the clinical challenge that stems from non-gonadal androgens that are not inhibited by traditional hormonal therapies has been tangibly translated into the development of more potent drugs that can potentially lead towards achieving an androgen-free environment. The pre-clinical evidence that proves that AR NTD is a druggable target also forecasts a further paradigm shift in the management of advanced prostate cancer. These advancements together with the identification of more robust AR antagonists and their promising clinical outcome have renewed the hope that targeting the AR pathway remains a sound strategy in the clinical management of prostate cancer. Here, we address these developments with a greater emphasis on the rapidly growing literature on AR splice variants.

Optimization of magnetic bead-based nucleic acid extraction for SARS-CoV-2 testing using readily available reagents.

The COVID-19 pandemic has highlighted the need for generic reagents and flexible systems in diagnostic testing. Magnetic bead-based nucleic acid extraction protocols using 96-well plates on open liquid handlers are readily amenable to meet this need. Here, one such approach is rigorously optimized to minimize cross-well contamination while maintaining sensitivity.

A Scalable Strand-Specific Protocol Enabling Full-Length Total RNA Sequencing From Single Cells.

RNA sequencing (RNAseq) has been widely used to generate bulk gene expression measurements collected from pools of cells. Only relatively recently have single-cell RNAseq (scRNAseq) methods provided opportunities for gene expression analyses at the single-cell level, allowing researchers to study heterogeneous mixtures of cells at unprecedented resolution. Tumors tend to be composed of heterogeneous cellular mixtures and are frequently the subjects of such analyses. Extensive method developments have led to several protocols for scRNAseq but, owing to the small amounts of RNA in single cells, technical constraints have required compromises. For example, the majority of scRNAseq methods are limited to sequencing only the 3' or 5' termini of transcripts. Other protocols that facilitate full-length transcript profiling tend to capture only polyadenylated mRNAs and are generally limited to processing only 96 cells at a time. Here, we address these limitations and present a novel protocol that allows for the high-throughput sequencing of full-length, total RNA at single-cell resolution. We demonstrate that our method produced strand-specific sequencing data for both polyadenylated and non-polyadenylated transcripts, enabled the profiling of transcript regions beyond only transcript termini, and yielded data rich enough to allow identification of cell types from heterogeneous biological samples.

Novel biomarkers for prostate cancer including noncoding transcripts.

Levels of 27 transcripts were investigated as potential novel markers for prostate cancer, including genes encoding plasma membrane proteins (ADAM2, ELOVL5, MARCKSL1, RAMP1, TMEM30A, and TMEM66); secreted proteins (SPON2, TMEM30A, TMEM66, and truncated TMEFF2 (called POP4)); intracellular proteins (CAMK2N1, DHCR24, GLO1, NGFRAP1, PGK1, PSMA7, SBDS, and YWHAQ); and noncoding transcripts (POP1 (100 kb) from mRNA AK000023), POP2 (4 kb from mRNA AL832227), POP3 (50 kb from EST CFI40309), POP5 (intron of NCAM2, accession DO668384), POP6 (intron of FHIT), POP7 (intron of TNFAIP8), POP8 (intron of EFNA5), POP9 (intron of DSTN), POP10 (intron of ADAM2, accession DO668396), POP11 (87kb from EST BG194644), and POP12 (intron of EST BQ226050)). Expression of POP3 was prostate specific, whereas ADAM2, POP1, POP4, POP10, ELOVL5, RAMP1, and SPON2 had limited tissue expression. ELOVL5, MARCKSL1, NGFRAP1, PGK1, POP2, POP5, POP8, PSMA7, RAMP1, and SPON2 were significantly differentially expressed between laser microdissected malignant versus benign clinical samples of prostate tissue. PGK1, POP2, and POP12 correlated to clinical parameters. Levels of CAMK2N1, GLO1, SDBS, and TMEM30A transcripts tended to be increased in primary prostate cancer from patients who later had biochemical failure. Expression of GLO1, DHCR24, NGFRAP1, KLK3, and RAMP1 were significantly decreased in metastatic castration-recurrent disease compared with androgen-dependent primary prostate cancer. These novel potential biomarkers may therefore be useful in the diagnosis/prognosis of prostate cancer.

Deadenylation-independent stage-specific mRNA degradation in Leishmania.

The life cycle of Leishmania alternates between developmental forms residing within the insect vector (e.g. promastigotes) and the mammalian host (amastigotes). In Leishmania nearly all control of gene expression is post-transcriptional and involves sequences in the 3'-untranslated regions (3'UTRs) of mRNAs. Very little is known as to how these cis-elements regulate RNA turnover and translation rates in trypanosomatids and nothing is known about mRNA degradation mechanisms in Leishmania in particular. Here, we use the amastin mRNA-an amastigote-specific transcript-as a model and show that a approximately 100 nt U-rich element (URE) within its 3'UTR significantly accounts for developmental regulation. RNase-H-RNA blot analysis revealed that a major part of the rapid promastigote-specific degradation of the amastin mRNA is not initiated by deadenylation. This is in contrast to the amastin mRNA in amastigotes and to reporter RNAs lacking the URE, which, in common with most eukaryotic mRNAs studied to-date, are deadenylated before being degraded. Moreover, our analysis did not reveal a role for decapping in the stage-specific degradation of the amastin mRNA. Overall, these results suggest that degradation of the amastin mRNA of Leishmania is likely to be bi-phasic, the first phase being stage-specific and dependent on an unusual URE-mediated pathway of mRNA degradation.

Developmental regulation of gene expression in trypanosomatid parasitic protozoa.

Kinetoplastids branched early from the eukaryotic lineage and include several parasitic protozoan species. Up to several hundred kinetoplastid genes are co-transcribed into polycistronic RNAs and individual mRNAs are resolved by coupled co-transcriptional trans-splicing of a universal splice-leader RNA (SL-RNA) and 3'-end maturation processes. Protein-coding genes lack RNA polymerase II promoters. Consequently, most of gene regulation in these organisms occurs post-transcriptionally. Over the last few years, many more genes that are regulated at the mRNA stability level and a few at the translation level have been reported. Almost all major trypanosome homologues of yeast/mammalian mRNA degradation enzymes have been functionally characterized and major pathways identified. Novel paradigms have also recently emerged: regulated post-transcriptional processing of cytoplasmic RNAs, SL-RNA transcriptional silencing-mediated global stress response, and Leishmania-specific large-scale modulation of post-transcriptional gene expression via inactive degenerated retroelements. Several of these developments have greatly benefited from the recently completed genomic sequences and functional genomic studies.

Deep Learning for Semantic Segmentation of Defects in Advanced STEM Images of Steels.

Crystalline materials exhibit long-range ordered lattice unit, within which resides nonperiodic structural features called defects. These crystallographic defects play a vital role in determining the physical and mechanical properties of a wide range of material systems. While computer vision has demonstrated success in recognizing feature patterns in images with well-defined contrast, automated identification of nanometer scale crystallographic defects in electron micrographs governed by complex contrast mechanisms is still a challenging task. Here, building upon an advanced defect imaging mode that offers high feature clarity, we introduce DefectSegNet - a new convolutional neural network (CNN) architecture that performs semantic segmentation of three common crystallographic defects in structural alloys: dislocation lines, precipitates and voids. Results from supervised training on a small set of high-quality defect images of steels show high pixel-wise accuracy across all three types of defects: 91.60 ± 1.77% on dislocations, 93.39 ± 1.00% on precipitates, and 98.85 ± 0.56% on voids. We discuss the sources of uncertainties in CNN prediction and the training data in terms of feature density, representation and homogeneity and their effects on deep learning performance. Further defect quantification using DefectSegNet prediction outperforms human expert average, presenting a promising new workflow for fast and statistically meaningful quantification of materials defects.

Evaluation of protocols for rRNA depletion-based RNA sequencing of nanogram inputs of mammalian total RNA.

Next generation RNA-sequencing (RNA-seq) is a flexible approach that can be applied to a range of applications including global quantification of transcript expression, the characterization of RNA structure such as splicing patterns and profiling of expressed mutations. Many RNA-seq protocols require up to microgram levels of total RNA input amounts to generate high quality data, and thus remain impractical for the limited starting material amounts typically obtained from rare cell populations, such as those from early developmental stages or from laser micro-dissected clinical samples. Here, we present an assessment of the contemporary ribosomal RNA depletion-based protocols, and identify those that are suitable for inputs as low as 1-10 ng of intact total RNA and 100-500 ng of partially degraded RNA from formalin-fixed paraffin-embedded tissues.

A high-throughput protocol for isolating cell-free circulating tumor DNA from peripheral blood.

The analysis of cell-free circulating tumor DNA (ctDNA) is potentially a less invasive, more dynamic assessment of cancer progression and treatment response than characterizing solid tumor biopsies. Standard isolation methods require separation of plasma by centrifugation, a time-consuming step that complicates automation. To address these limitations, we present an automatable magnetic bead-based ctDNA isolation method that eliminates centrifugation to purify ctDNA directly from peripheral blood (PB). To develop and test our method, ctDNA from cancer patients was purified from PB and plasma. We found that allelic fractions of somatic single-nucleotide variants from target gene capture libraries were comparable, indicating that the PB ctDNA purification method may be a suitable replacement for the plasma-based protocols currently in use.

Cancer metastasis and in vivo dissemination of tissue-dwelling pathogens: extrapolation of mechanisms and exchange of treatment strategies thereof.

Most cancer cells would not result in devastating tumours if it were not for their ability to metastasize. The process of cancer metastasis involves significant cell shape, motility, and adhesive changes of pre-cancerous cells, and the remodelling of the extracellular matrix, as well as cognate properties of neighbouring normal cells. Such changes will be hereafter referred to as "tissue fluidity changes". A number of pathogens are known to disseminate to distant organs from sites of infection within a few days. A compromise on the ability to disseminate rapidly could be deleterious to the pathogen (e.g. the pathogen might be cleared before it reaches immuno-privileged sites within its host). Several ways of dissemination could be envisioned - and some are known to occur - ranging from rather passive such as outgrowth and lysis of tissues, residence in the bloodstream, "hitch-hiking" on migratory cells of the immune and lymphatic systems to an active dissemination process involving tissue fluidity changes similar to those that cancer cells invoke to be able to metastasize. The latter is particularly expected to be an important mechanism for the in vivo dissemination of tissue-dwelling pathogens. The mechanisms behind metastasis can, therefore, be viewed as part of the unifying features between cancer cells and pathogens other than their characteristic high proliferation index (at least in one form in the case of digenetic parasites). The current paper presents a synthesis of the hitherto reported but rather scattered data that broadly reinforce the premise of unifying metastasis processes. The overwhelming research outcome in cancer metastasis might therefore serve as a spring board for facilitating the studies of pathogen metastasis and, importantly, relevant cancer treatment strategies can be adopted to combat infectious diseases.

The subcellular localisation of trypanosome RRP6 and its association with the exosome.

The exosome, a complex of 3'-exoribonucleases and associated proteins, is involved in the degradation of eukaryotic mRNAs in the cytoplasm, and has RNA processing and quality control functions in the nucleus. In yeast, the nuclear exosome differs from the cytoplasmic one in that it contains an additional non-essential component, Rrp6p. In contrast, a small proportion of human RRP6 has been shown to localise to the cytoplasm as well. When we purified the Trypanosoma brucei exosome from cytosolic extracts we found RRP6, apparently in stoichiometric amounts. We here confirm that RRP6 is in the trypanosome cytoplasm and nucleus. The level of RRP6 was unaffected by depletion of core exosome subunits by RNA interference and over-expression of tagged RRP6 was possible, indicating that RRP6 can be present independent of exosome association.

Automated high throughput nucleic acid purification from formalin-fixed paraffin-embedded tissue samples for next generation sequence analysis.

Curation and storage of formalin-fixed, paraffin-embedded (FFPE) samples are standard procedures in hospital pathology laboratories around the world. Many thousands of such samples exist and could be used for next generation sequencing analysis. Retrospective analyses of such samples are important for identifying molecular correlates of carcinogenesis, treatment history and disease outcomes. Two major hurdles in using FFPE material for sequencing are the damaged nature of the nucleic acids and the labor-intensive nature of nucleic acid purification. These limitations and a number of other issues that span multiple steps from nucleic acid purification to library construction are addressed here. We optimized and automated a 96-well magnetic bead-based extraction protocol that can be scaled to large cohorts and is compatible with automation. Using sets of 32 and 91 individual FFPE samples respectively, we generated libraries from 100 ng of total RNA and DNA starting amounts with 95-100% success rate. The use of the resulting RNA in micro-RNA sequencing was also demonstrated. In addition to offering the potential of scalability and rapid throughput, the yield obtained with lower input requirements makes these methods applicable to clinical samples where tissue abundance is limiting.

Targeting Androgen Receptor Activation Function-1 with EPI to Overcome Resistance Mechanisms in Castration-Resistant Prostate Cancer.

PURPOSE: Persistent androgen receptor (AR) transcriptional activity is clinically evident in castration-resistant prostate cancer (CRPC). Therefore, AR remains as a viable therapeutic target for CRPC. All current hormonal therapies target the C-terminus ligand-binding domain (LBD) of AR. By using EPI to target AR activation function-1 (AF-1), in the N-terminal domain that is essential for AR transactivation, we evaluate the ability of EPI to overcome several clinically relevant AR-related mechanisms of resistance. EXPERIMENTAL DESIGN: To study the effect of EPI on AR transcriptional activity against overexpressed coactivators, such as SRC1-3 and p300, luciferase reporter assays were performed using LNCaP cells. AR-negative COS-1 cells were employed for reporter assays to examine whether the length of polyglutamine tract affects inhibition by EPI. The effect of EPI on constitutively active AR splice variants was studied in LNCaP95 cells, which express AR-V7 variant. To evaluate the effect of EPI on the proliferation of LNCaP95 cells, we performed in vitro BrdUrd incorporation assay and in vivo studies using xenografts in mice. RESULTS: EPI effectively overcame several molecular alterations underlying aberrant AR activity, including overexpressed coactivators, AR gain-of-function mutations, and constitutively active AR-V7. EPI inhibited AR transcriptional activity regardless of the length of polyglutamine tract. Importantly, EPI significantly inhibited the in vitro and in vivo proliferation of LNCaP95 prostate cancer cells, which are androgen independent and enzalutamide resistant. CONCLUSIONS: These findings support EPI as a promising therapeutic agent to treat CRPC, particularly against tumors driven by constitutively active AR splice variants that are resistant to LBD-targeting drugs. Clin Cancer Res; 22(17); 4466-77. ©2016 AACRSee related commentary by Sharp et al., p. 4280.

A doubly inducible system for RNA interference and rapid RNAi plasmid construction in Trypanosoma brucei.

The most rapid method for the generation of conditional mutants in Trypanosoma brucei is the use of RNA interference. A single copy of the target sequence is cloned between two opposing T7 promoters bearing tet operators, and the resulting plasmid is integrated into the genome of cells expressing both the tet repressor and T7 RNA polymerase. Upon addition of tetracycline, double-stranded RNA is synthesised from the two T7 promoters. Unfortunately, repression of T7 promoter activity may sometimes be insufficient to prevent expression of toxic amounts of double-stranded RNA. We describe here cell lines in which the expression of T7 polymerase is under tetracycline control, and show that regulation of polymerase expression can modulate transcription from a constitutive T7 promoter. In addition we describe a construct containing two copies of the tn10 Tet repressor for easy creation of repressor-expressing trypanosomes, and an RNA interference vector which allows "TA" cloning of unmodified PCR products and blue/white selection.

Validation of Trypanosoma brucei trypanothione synthetase as drug target.

In trypanosomes, the parasite-specific thiol trypanothione [T(SH)2] fulfills various functions, the best established being detoxification of H2O2 and organic hydroperoxides and ribonucleotide reduction. Recently, a trypanothione synthetase (Tb-TryS) gene from Trypanosoma brucei was isolated and the heterologously expressed Tb-TryS catalyzed the entire synthesis of T(SH)2 from glutathione (GSH) and spermidine in vitro. To confirm the in situ function of the complex Tb-TryS activities and to evaluate the importance of T(SH)2 metabolism in T. brucei, TryS suppression by double-stranded RNA interference was performed. Knockdown of TryS led to depletion of both T(SH)2 and glutathionylspermidine (Gsp) and accumulation of GSH, while concomitantly impairment of viability and arrest of proliferation were observed. TryS-downregulated cells displayed a significantly increased sensitivity to H2O2 and tert.-butyl hydroperoxide. These data verify the hypothesis that in T. brucei, a single enzyme synthesizes the spermidine-conjugated thiols (Gsp and T(SH)2) and further confirms the significance of trypanothione in the defense against oxidative stress and the maintenance of viability and proliferation in unstressed parasites.

An androgen receptor N-terminal domain antagonist for treating prostate cancer.

Hormone therapies for advanced prostate cancer target the androgen receptor (AR) ligand-binding domain (LBD), but these ultimately fail and the disease progresses to lethal castration-resistant prostate cancer (CRPC). The mechanisms that drive CRPC are incompletely understood, but may involve constitutively active AR splice variants that lack the LBD. The AR N-terminal domain (NTD) is essential for AR activity, but targeting this domain with small-molecule inhibitors is complicated by its intrinsic disorder. Here we investigated EPI-001, a small-molecule antagonist of AR NTD that inhibits protein-protein interactions necessary for AR transcriptional activity. We found that EPI analogs covalently bound the NTD to block transcriptional activity of AR and its splice variants and reduced the growth of CRPC xenografts. These findings suggest that the development of small-molecule inhibitors that bind covalently to intrinsically disordered proteins is a promising strategy for development of specific and effective anticancer agents.