Experiments

Searchable full-text extractions: founding hypothesis, core claims, experimental setups, key results and statistics — pulled out of each paper as structure. Search a cell line, an assay or an entity (e.g. HUH7) and find every paper that worked with it. This corpus stands on its own: most entries carry no reproduction assessment (yet).

• Discovery and identification of potential biomarkers of papillary thyroid carcinoma.

  PMID 19785722 · PMC2761863 · Molecular cancer · 2009 · 8 claims · 7 setups

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  A 3-peak (m/z 9190, 6631, 8697 Da) SVM classification model discriminates PTC from non-cancer controls with high sensitivity and specificity

  serum hplc-purified trypsin-digested crude seldi-tof-ms solid-phase maldi-tof-ms

• Identification of serum biomarkers for colon cancer by proteomic analysis.

  PMID 16755300 · PMC2361335 · British journal of cancer · 2006 · 8 claims · 8 setups

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  Complement C3a des-arg, α1-antitrypsin and transferrin were identified as serum proteins with diagnostic potential for CRC.

  serum pooled seldi seldi-tof seldi artificial

• Limitations in SELDI-TOF MS whole serum proteomic profiling with IMAC surface to specifically detect colorectal cancer.

  PMID 19689818 · PMC2743709 · BMC cancer · 2009 · 7 claims · 3 setups

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  The previously reported classifier (m/z 8,132 and 4,002) failed to discriminate CRC patients from healthy volunteers in this independent validation cohort

  serum pooled seldi-tof comparative decision

• Identification of diagnostic markers for tuberculosis by proteomic fingerprinting of serum.

  PMID 16980117 · PMC7159276 · Lancet (London, England) · 2006 · 8 claims · 5 setups

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  An SVM classifier trained on serum proteomic profiles discriminated patients with active tuberculosis from controls with clinically overlapping conditions

  serum computational kda spin-column seldi-tof supervised peptide

• Development of proteomic patterns for detecting lung cancer.

  PMID 14757945 · PMC3851077 · Disease markers · 2003 · 8 claims · 3 setups

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  A decision tree classification algorithm built on three serum protein mass peaks (8122Da, 1452Da, 1610Da) can discriminate lung cancer patients from healthy controls

  serum pooled seldi-tof-ms decision reproducibility

• LIMPIC: a computational method for the separation of protein MALDI-TOF-MS signals from noise.

  PMID 17386085 · PMC1847688 · BMC bioinformatics · 2007 · 7 claims · 4 setups

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  LIMPIC is a computational method for detecting protein peaks from linear-mode MALDI-TOF-MS data using background noise reduction and baseline removal followed by non-uniform threshold peak detection and multi-spectra detection-rate classification.

  in-vitro plasma maldi-tof signal baseline

• Logical Analysis of Data (LAD) model for the early diagnosis of acute ischemic stroke.

  PMID 18616825 · PMC2492849 · BMC medical informatics and decision making · 2008 · 7 claims · 5 setups

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  An LAD classification model built from a support-set of 3 peptide peaks can distinguish stroke patients from controls with 75% accuracy on an independent validation set

  plasma discretized seldi-tof serum logical

• Biomarkers that discriminate multiple myeloma patients with or without skeletal involvement detected using SELDI-TOF mass spectrometry and statistical and machine learning tools.

  PMID 17124346 · PMC3862287 · Disease markers · 2006 · 8 claims · 5 setups

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  SELDI-TOF MS serum profiling can discriminate MM patients with vs without skeletal (bone lesion) involvement using peak biomarkers

  serum seldi seldi-tof serum univariate

• Serum diagnosis of diffuse large B-cell lymphomas and further identification of response to therapy using SELDI-TOF-MS and tree analysis patterning.

  PMID 18163913 · PMC2242801 · BMC cancer · 2007 · 8 claims · 8 setups

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  SELDI-TOF-MS serum proteomic patterns analyzed by decision tree classification (Biomarker Pattern Software) can discriminate DLBCL patients from healthy controls with high sensitivity and specificity.

  serum seldi dlbcl pooled seldi-tof-ms proteinchip decision

• Detection of rare mutant K-ras DNA in a single-tube reaction using peptide nucleic acid as both PCR clamp and sensor probe.

  PMID 16432256 · PMC1345699 · Nucleic acids research · 2006 · 8 claims · 5 setups

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  A 17mer PNA spanning K-ras codons 12/13 can serve as both PCR clamp and sensor probe in a single-tube reaction, differentiating all 12 possible point mutations from wild-type by melting temperature shift

  wild-type mixture mutant serial melting real-time limit-of-detection

• A novel approach for determining cancer genomic breakpoints in the presence of normal DNA.

  PMID 17440616 · PMC1847701 · PloS one · 2007 · 8 claims · 6 setups

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  PAMP enriches deletion-breakpoint-spanning DNA because shorter mutant amplicons are preferentially amplified over much longer wild-type sequences when using approximated flanking primer pairs.

  detroit serial hs578t pamp individual nested

• Implementation of a data repository-driven approach for targeted proteomics experiments by multiple reaction monitoring.

  PMID 19121650 · PMC2706936 · Journal of proteomics · 2009 · 7 claims · 5 setups

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  A new MRM worksheet was implemented in The Global Proteome Machine database (GPMDB) that provides all information needed to design MRM transitions based solely on archived observations from previous experiments by other researchers.

  platelet proteins reaction midas mrm

• Assessment of serum proteomics to detect large colon adenomas.

  PMID 18708413 · PMC2561171 · Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2008 · 7 claims · 1 setups

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  In the primary, pre-specified blinded validation analysis, the serum proteomics (ProteomeQuest) model showed no significant discrimination between large adenoma and normal subjects (accuracy 51%).

  serum serum

• RNA modifications detection by comparative Nanopore direct RNA sequencing.

  PMID 34893601 · PMC8664944 · Nature communications · 2021 · 7 claims · 5 setups

  Has reproduction · 50

  Nanocompore is a model-free comparative method that uses a 2-component Gaussian mixture model (GMM) and univariate statistical tests on signal intensity/dwell time to detect RNA modifications in Nanopore direct RNA sequencing data without needing a training set

  simulated synthetic escherichia saccharomyces nanopore computational

• Sample preparation for serum/plasma profiling and biomarker identification by mass spectrometry.

  PMID 17166507 · PMC7094463 · Journal of chromatography. A · 2007 · 8 claims · 8 setups

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  Standardizing sample preparation procedures for serum/plasma profiling is critical for obtaining reliable biomarkers, since slight procedural changes can produce very different protein profiles.

  serum aqueous maldi-tof seldi-tof peak

• Minisequencing mitochondrial DNA pathogenic mutations.

  PMID 18402672 · PMC2377236 · BMC medical genetics · 2008 · 7 claims · 7 setups

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  A minisequencing multiplex assay can interrogate 25 pathogenic mtDNA mutations across the whole mtDNA genome in a single reaction using 13 amplicons.

  blood-derived same genomic pcr minisequencing automatic multiplex

• An initial characterization of the serum phosphoproteome.

  PMID 19824718 · PMC2789176 · Journal of proteome research · 2009 · 8 claims · 8 setups

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  A TiO2-based phosphopeptide enrichment method coupled with LC-MS/MS (LTQ-Orbitrap CID and LTQ-ETD) was developed and applied to characterize the serum phosphoproteome

  u266 serum lc-ms immunoprecipitation sensitivity