Simultaneous extraction of nucleic acids and proteins from tissue specimens by ultracentrifugation: A protocol using the high-salt protein fraction for quantitative proteome analysis

Triple extraction method enables high quality mass spectrometry-based proteomics and phospho-proteomics for eventual multi-omics integration studies

Large-scale multi-omic analysis allows a thorough understanding of different physiological or pathological conditions, particularly cancer. Here, an extraction method simultaneously yielding DNA, RNA and protein (thereby referred to as "triple extraction", TEx) was tested for its suitability to unbiased, system-wide proteomic investigation. Largely proven efficient for transcriptomic and genomic studies, we aimed at exploring TEx compatibility with mass spectrometry-based proteomics and phospho-proteomics, as compared to a standard urea extraction. TEx is suitable for the shotgun investigation of proteomes, providing similar results as urea-based protocol both at the qualitative and quantitative levels. TEx is likewise compatible with the exploration of phosphorylation events, actually providing a higher number of correctly localized sites than urea, although the nature of extracted modifications appears somewhat distinct between both techniques. These results highlight that the presented protocol is well suited for the examination of the proteome and modified proteome of this bladder cancer cell model, as efficiently as other more widely used workflows for mass spectrometry-based analysis. Potentially applicable to other mammalian cell types and tissues, TEx represents an advantageous strategy for multi-omics on scarce and/or heterogenous samples.

Selective nucleic acid removal via exclusion (SNARE): capturing mRNA and DNA from a single sample

The path from gene (DNA) to gene product (RNA or protein) is the foundation of genotype giving rise to phenotype. Comparison of genomic analyses (DNA) with paired transcriptomic studies (mRNA) is critical to evaluating the pathogenic processes that give rise to human disease. The ability to analyze both DNA and mRNA from the same sample is not only important for biologic interrogation but also to minimize variance (e.g., sample loss) unrelated to the biology. Existing methods for RNA and DNA purification from a single sample are typically time-consuming and labor intensive or require large sample sizes to split for separate RNA and DNA extraction procedures. Thus, there is a need for more efficient and cost-effective methods to purify both RNA and DNA from a single sample. To address this need, we have developed a technique, termed SNARE (Selective Nucleic Acid Removal via Exclusion), that uses pinned oil interfaces to simultaneous purify mRNA and DNA from a single sample. A unique advantage of SNARE is the elimination of dilutive wash and centrifugation processes that are fundamental to conventional methods where sample is typically discarded. This minimizes loss and maximizes recovery by allowing nondilutive reinterrogation of the sample. We demonstrate that SNARE is more sensitive than commercially available kits, robustly and repeatably achieving mRNA and DNA purification from extremely low numbers of cells for downstream analyses. In addition to sensitivity, SNARE is fast, easy to use, and cost-effective and requires no laboratory infrastructure or hazardous chemicals. We demonstrate the clinical utility of the SNARE with prostate cancer circulating tumor cells to demonstrate its ability to perform both genomic and transcriptomic interrogation on rare cell populations that would be difficult to achieve with any current method.

BCAT1 promotes cell proliferation through amino acid catabolism in gliomas carrying wild-type IDH1

Here we show that glioblastoma express high levels of branched-chain amino acid transaminase 1 (BCAT1), the enzyme that initiates the catabolism of branched-chain amino acids (BCAAs). Expression of BCAT1 was exclusive to tumors carrying wild-type isocitrate dehydrogenase 1 (IDH1) and IDH2 genes and was highly correlated with methylation patterns in the BCAT1 promoter region. BCAT1 expression was dependent on the concentration of α-ketoglutarate substrate in glioma cell lines and could be suppressed by ectopic overexpression of mutant IDH1 in immortalized human astrocytes, providing a link between IDH1 function and BCAT1 expression. Suppression of BCAT1 in glioma cell lines blocked the excretion of glutamate and led to reduced proliferation and invasiveness in vitro, as well as significant decreases in tumor growth in a glioblastoma xenograft model. These findings suggest a central role for BCAT1 in glioma pathogenesis, making BCAT1 and BCAA metabolism attractive targets for the development of targeted therapeutic approaches to treat patients with glioblastoma.

Simultaneously extracting DNA, RNA, and protein using kits: is sample quantity or quality prejudiced?

Interdisciplinary "omics" research and the stringent quality requirements of array-based technologies require the simultaneous yet efficient extraction of DNA, RNA, and protein from the same tissue block. However, the few commercially available simultaneous extraction kits have not been evaluated. We compare the TriplePrep (GE Healthcare) and AllPrep (Qiagen) kits using good, intermediate, and poor quality tissue with specialist single-extract methods: Puregene (DNA), RNeasy (RNA), and homogenizations into buffer (protein). The following parameters were evaluated: DNA-yield (total DNA and double-stranded), purity (260:280 and 260:230), and integrity (gel electrophoresis); RNA-yield, purity, and integrity (RNA integrity numbers [RINs] and quantitative reverse transcription polymerase chain reaction [Q-RT-PCR]); protein-yield and quality (two-dimensional difference gel electrophoresis [2D-DIGE]). Puregene DNA yields were 183% and 506% those of TriplePrep and AllPrep, respectively. For RNA, AllPrep and RNeasy were indistinguishable, but their yields were 412% to 588% those of TriplePrep (depending on block condition) and their between-sample variability was better. TriplePrep protein yields were 57% those of the control, and 6.9% of the gel spots were more than 2-fold altered. However, AllPrep yields were 20% of the control, with 11% of the gel spots being more than 2-fold altered. Therefore, TriplePrep outperformed AllPrep in DNA and protein extractions, the reverse was true for RNA, but neither kit achieved optimal efficiency because both yield and quality were compromised.

Validation of a PicoGreen-based DNA quantification integrated in an RNA extraction method for two-dimensional and three-dimensional cell cultures

DNA measurement and RNA extraction are two frequently used methods for cell characterization. In the conventional protocols, they require similar, but separate samples and in most cases, different pretreatments. The few combined protocols that exist still include time-consuming steps. Hence, to establish an efficient combined RNA extraction and DNA measurement protocol for two-dimensional (2D) and three-dimensional (3D) cell cultures, a PicoGreen-based DNA measurement was integrated in an existing RNA extraction protocol. It was validated by analysis of the influence of different lysis buffers, RLT, RA1, or Trizol, used for RNA extraction on the measured DNA concentration. The DNA cell yield was evaluated both in cell suspensions (2D) and on 3D cell-seeded scaffolds. Results showed that the different RNA lysis buffers caused a concentration-dependent perturbation of the PicoGreen signal. The measured DNA concentrations in 2D and 3D using RLT and RA1 buffer were comparable, also to the positive control. We, therefore, concluded that RNA extraction protocols using RA1 or RLT buffer allow the integration of a DNA quantification step without the buffer influencing the results. Hence, the combined DNA measurement and RNA extraction offer an alternative for DNA measurement techniques that is time and sample saving, for both 2D cell cultures and specific 3D constructs.

Downregulation of PRDX1 by promoter hypermethylation is frequent in 1p/19q-deleted oligodendroglial tumours and increases radio- and chemosensitivity of Hs683 glioma cells in vitro

Deletions of chromosomal arms 1p and 19q are frequent in oligodendroglial tumours and linked to radio- and chemotherapy response as well as longer survival. The molecular mechanisms underlying this clinically important association are as yet unknown. Here, we studied the peroxiredoxin 1 (PRDX1) gene at 1p34.1 for promoter methylation and expression in primary gliomas and investigated its role in radio- and chemosensitivity of glioma cells in vitro. In total, we screened primary glioma tissues from 93 patients for methylation of the 5'-CpG island of PRDX1 by sodium bisulfite sequencing. PRDX1 mRNA and protein expression levels were determined in subsets of the tumours by quantitative PCR and western blot analysis, respectively. PRDX1 hypermethylation and reduced expression were frequently detected in oligodendroglial tumours and secondary glioblastomas, but not in primary glioblastomas. In oligodendroglial tumours, both PRDX1 hypermethylation and reduced mRNA expression were significantly associated with 1p/19q-deletion. Stable knockdown of PRDX1 by lentiviral transduction of short-hairpin (sh)RNA constructs significantly increased apoptosis and reduced cell viability of Hs683 glioma cells exposed to ionizing irradiation or temozolomide in vitro. Taken together, our findings indicate that epigenetic silencing of PRDX1 is frequent in 1p/19q-deleted oligodendroglial tumours and likely contributes to radio- and chemosensitivity of these tumours.

Proteomics of gliomas: initial biomarker discovery and evolution of technology

Gliomas are a group of aggressive brain tumors that diffusely infiltrate adjacent brain tissues, rendering them largely incurable, even with multiple treatment modalities and agents. Mostly asymptomatic at early stages, they present in several subtypes with astrocytic or oligodendrocytic features and invariably progress to malignant forms. Gliomas are difficult to classify precisely because of interobserver variability during histopathologic grading. Identifying biological signatures of each glioma subtype through protein biomarker profiling of tumor or tumor-proximal fluids is therefore of high priority. Such profiling not only may provide clues regarding tumor classification but may identify clinical biomarkers and pathologic targets for the development of personalized treatments. In the past decade, differential proteomic profiling techniques have utilized tumor, cerebrospinal fluid, and plasma from glioma patients to identify the first candidate diagnostic, prognostic, predictive, and therapeutic response markers, highlighting the potential for glioma biomarker discovery. The number of markers identified, however, has been limited, their reproducibility between studies is unclear, and none have been validated for clinical use. Recent technological advancements in methodologies for high-throughput profiling, which provide easy access, rapid screening, low sample consumption, and accurate protein identification, are anticipated to accelerate brain tumor biomarker discovery. Reliable tools for biomarker verification forecast translation of the biomarkers into clinical diagnostics in the foreseeable future. Herein we update the reader on the recent trends and directions in glioma proteomics, including key findings and established and emerging technologies for analysis, together with challenges we are still facing in identifying and verifying potential glioma biomarkers.

Simultaneous isolation of DNA, RNA, and protein from Medicago truncatula L

We describe a method for the simultaneous extraction of proteins and nucleic acids from Medicago truncatula tissues. Using a modified TRIzol reagent method, we developed a simple and an effective way to simultaneously extract proteins and nucleic acids from a single sample. We verified that this method does not affect the quality or quantitation of the isolated DNA and RNA. Furthermore, we used 2-DE to compare M. truncatula leaf, stem, and root samples processed using this new method with two commonly used methods: phenol extraction/methanol-ammonium acetate precipitation and trichloroacetic acid/acetone precipitation. The results showed that our method was superior to the other methods, based on 2-DE patterns. We also demonstrated that our protocol is compatible with proteomic analysis, as 10 out of 14 selected proteins isolated by the method were identified by MALDI-TOF-MS/MS. The protocol described can be used with sample preparation protocols for proteomic, transcriptomic, and genomic studies.