Differential Peptide Subtraction: mass spectrometry for human cancer virus discovery
Ontology highlight
ABSTRACT:
INSTRUMENT(S): LTQ Orbitrap Velos
ORGANISM(S): Homo Sapiens (ncbitaxon:9606)
SUBMITTER: 
Patrick S. Moore
PROVIDER: MSV000086153 | MassIVE |
SECONDARY ACCESSION(S): PXD021520
REPOSITORIES: MassIVE
Similar Datasets
Project description:miRNAs are excellent tumor biomarkers because of their cell-type specificity and abundance. However, many miRNA detection methods, such as real-time (RT)-PCR, obliterate valuable visuospatial information in tissue samples. To enable miRNA visualization in formalin-fixed paraffin-embedded (FFPE) tissues, we developed multicolor miRNA fluorescence in situ hybridization (FISH). For proof-of-concept, we differentiated two skin tumors, namely Basal cell carcinoma (BCC) and Merkel cell carcinoma (MCC), with overlapping histologic features but distinct cellular origins. Using sequencing-based miRNA profiling and discriminant analysis, we identified tumor-specific miRNAs (miR-205 and miR-375) in BCC and MCC respectively. We addressed three major shortcomings in miRNA FISH, identifying optimal conditions for miRNA fixation and rRNA retention using model compounds and HPLC analyses, enhancing signal amplification and detection by increasing probe-hapten linker lengths, and improving probe specificity using shortened probes with minimal rRNA sequence complementarity. We validated our method on 4 BCC and 12 MCC tumors. Amplified miR-205 and miR-375 signals were normalized against directly detectable reference rRNA signals. Tumors were classified using pre-defined cut-off values; all were correctly identified in blinded analysis. We established a reliable miRNA FISH technique for parallel visualization of differentially expressed miRNAs in FFPE tumor tissues 6 MCC samples 2 normal skin samples were profiled with Agilent miRNA array platform
2013-03-14 | E-GEOD-45146 | biostudies-arrayexpress
Project description:miRNAs are excellent tumor biomarkers because of their cell-type specificity and abundance. However, many miRNA detection methods, such as real-time (RT)-PCR, obliterate valuable visuospatial information in tissue samples. To enable miRNA visualization in formalin-fixed paraffin-embedded (FFPE) tissues, we developed multicolor miRNA fluorescence in situ hybridization (FISH). For proof-of-concept, we differentiated two skin tumors, namely Basal cell carcinoma (BCC) and Merkel cell carcinoma (MCC), with overlapping histologic features but distinct cellular origins. Using sequencing-based miRNA profiling and discriminant analysis, we identified tumor-specific miRNAs (miR-205 and miR-375) in BCC and MCC respectively. We addressed three major shortcomings in miRNA FISH, identifying optimal conditions for miRNA fixation and rRNA retention using model compounds and HPLC analyses, enhancing signal amplification and detection by increasing probe-hapten linker lengths, and improving probe specificity using shortened probes with minimal rRNA sequence complementarity. We validated our method on 4 BCC and 12 MCC tumors. Amplified miR-205 and miR-375 signals were normalized against directly detectable reference rRNA signals. Tumors were classified using pre-defined cut-off values; all were correctly identified in blinded analysis. We established a reliable miRNA FISH technique for parallel visualization of differentially expressed miRNAs in FFPE tumor tissues
2013-03-14 | GSE45146 | GEO
Project description:Proteomic biomarker discovery using formalin-fixed paraffin-embedded (FFPE) tissue requires robust workflows to support the analysis of large cohorts of patient samples. It also requires finding a reasonable balance between achieving high proteomic depth and limiting overall analysis time. To this end, we evaluated the merits of online coupling of disposable trap column nano-flow liquid chromatography, high-field asymmetric-waveform ion-mobility spectrometry (FAIMS) and tandem mass spectrometry (nLC-FAIMS-MS/MS). The data shows that ≤ 600 ng of peptide digest should be loaded onto the chromatographic part of the system. Careful characterization of the FAIMS settings enabled the choice of optimal combinations of compensation voltages (CV) as a function of the employed LC gradient time. We found nLC-FAIMS-MS/MS to be on par with stage tip-based off-line high pH reversed phase fractionation in terms of proteomic depth and reproducibility of protein quantification (coefficient of variation ≤ 15% for 90 % of all proteins) but requiring 50% less sample and substantially reducing sample handling. Using FFPE material from lymph node, lung and prostate tissue as examples, we show that nLC-FAIMS-MS/MS can identify 5-6,000 proteins from the respective tissue within a total of 3 hours of analysis time.
2021-11-02 | PXD028136 | Pride
Project description:The challenge of discovering a completely new human tumor virus of unknown phylogeny or sequence depends on detecting viral molecules and differentiating them from host-derived molecules in the virus-associated neoplasm. We developed differential peptide subtraction (DPS) using differential mass-spectrometry (dMS) followed by targeted analysis to facilitate this discovery. To trace the non-human dMS identified peptides back to its genetic origin by next generation sequencing (NGS) cDNA libraries were generated using degenerate oligos corresponding to the identified peptides. In a pilot study DPS identified both viral and human biomarkers. Based on the identified peptides that are differentially expressed in the virus positive tumor sample, degenerate oligos were designed. Degenerate oligos or LNA modified degenerate oligos or a modified oligo(dT) SMART primer were used to facilitate reverse transcription from viral or viral and host RNA. NGS analysis revealed seven times more MCV reads in degenerate oligo primed RNAseq samples compared to polyA-based sequencing reads.
2020-10-20 | GSE157610 | GEO
Project description:Adrenal cortical carcinoma (ACC) is an extremely rare disease with a variable prognosis. Current prognostic markers have limitations in identifying patients with a poor prognosis. Herein, we aimed to investigate the prognostic protein biomarkers of ACC using mass-spectrometry-based proteomics. We performed liquid chromatography-tandem mass spectrometry (LC-MS/MS) using formalin-fixed paraffin-embedded (FFPE) tissues of 45 adrenal tumors.
2021-09-07 | PXD027404 | Pride
Project description:Laser Microdissection (LMD) associated to LC-MS/MS were used to analyze the proteome of neoplastic islands and stroma tumor of Formalin-Fixed and Paraffin Embedded (FFPE) OSCC tissues to identify proteins of prognostic value. Label-free protein quantification and statistical analysis revealed neoplastic islands proteins and from stroma tumor as correlated to clinicopathological data including lymphonode status and recurrence.
2018-09-10 | PXD007232 | Pride
Project description:1918 Spanish influenza genomes from Germany recovered from formalin fixed lung specimens
| PRJEB41631 | ENA
Project description:DNA, RNA and protein were extracted from the culture and subjected to massive parallel sequencing and nano-LC-MS-MS respectively
2010-03-25 | GSE18535 | GEO
Project description:MicroRNAs have been implicated in various skin cancers, including melanoma, squamous cell carcinoma, and basal cell carcinoma; however, the expression of microRNAs and their role in Merkel cell carcinoma (MCC) have yet to be explored in depth. To identify microRNAs specific to MCC (MCC-miRs), next-generation sequencing (NGS) of small RNA libraries was performed on different tissue samples including MCCs, other cutaneous tumors, and normal skin. Comparison of the profiles identified several microRNAs upregulated and downregulated in MCC. For validation, their expression was measured via qRT-PCR in a larger group of MCC and in a comparison group of non-MCC cutaneous tumors and normal skin. Eight microRNAs were upregulated in MCC: miR-502-3p, miR-9, miR-7, miR-340, miR-182, miR-190b, miR-873, and miR-183. Three microRNAs were downregulated: miR-3170, miR-125b, and miR-374c. Many of these MCC-miRs, with the miR-183/182/96a cistron in particular, have connections to tumorigenic pathways implicated in MCC pathogenesis. In situ hybridization confirmed that the highly expressed MCC-miR, miR-182, is localized within tumor cells. Furthermore, NGS and qRT-PCR reveals that several of these MCC-miRs are highly expressed in the patient-derived MCC cell line, MS-1. These data indicate that we have identified a set of MCC-miRs with high implications for MCC research. To identify microRNAs specific to Merkel cell carcinoma (MCC) next-generation sequencing (NGS) of small RNA libraries was performed on different tissue samples including MCCs, other cutaneous tumors, and normal skin
2014-03-20 | E-GEOD-53600 | biostudies-arrayexpress
Project description:Differential Peptide Subtraction (DPS): mass spectrometry for human cancer virus discovery
| PRJNA662225 | ENA