| scholarly article | Q13442814 |
| P50 | author | Sebastian Weis | Q56816618 |
| Simon Hirschberger | Q88815335 | ||
| Evangelos J Giamarellos-Bourboulis | Q37838104 | ||
| Michael Bauer | Q50638837 | ||
| P2093 | author name string | Simone Kreth | |
| Max Hübner | |||
| Gabriele Strauß | |||
| David Effinger | |||
| P2860 | cites work | Non-coding RNAs: lessons from the small nuclear and small nucleolar RNAs | Q22121992 |
| Epidemiology of severe sepsis | Q22305425 | ||
| Accurate normalization of real-time quantitative RT-PCR data by geometric averaging of multiple internal control genes | Q24534395 | ||
| The Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3) | Q26768286 | ||
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| Mammalian microRNAs predominantly act to decrease target mRNA levels | Q27860535 | ||
| MicroRNAs: genomics, biogenesis, mechanism, and function | Q27861070 | ||
| Analyzing real-time PCR data by the comparative C(T) method | Q28131831 | ||
| The MIQE guidelines: minimum information for publication of quantitative real-time PCR experiments | Q28236560 | ||
| Surviving sepsis campaign: international guidelines for management of severe sepsis and septic shock: 2012 | Q28284276 | ||
| Housekeeping genes as internal standards: use and limits | Q29302686 | ||
| Determination of stable housekeeping genes, differentially regulated target genes and sample integrity: BestKeeper – Excel-based tool using pair-wise correlations | Q29304271 | ||
| Normalization of real-time quantitative reverse transcription-PCR data: a model-based variance estimation approach to identify genes suited for normalization, applied to bladder and colon cancer data sets | Q29615465 | ||
| Validating reference microRNAs for normalizing qRT-PCR data in bovine oocytes and preimplantation embryos | Q30969414 | ||
| Data Normalization Strategies for MicroRNA Quantification | Q30997590 | ||
| Validation of reference genes for quantitative RT-PCR studies of gene expression in perennial ryegrass (Lolium perenne L.) | Q33525408 | ||
| Changes in hospital mortality for United States intensive care unit admissions from 1988 to 2012 | Q33753987 | ||
| The human miRNA repertoire of different blood compounds | Q33828257 | ||
| U6 is not a suitable endogenous control for the quantification of circulating microRNAs. | Q54182683 | ||
| Changes in serum levels of miR-21, miR-210, and miR-373 in HER2-positive breast cancer patients undergoing neoadjuvant therapy: a translational research project within the Geparquinto trial. | Q54196115 | ||
| Differential distribution of U6 (RNU6-1) expression in human carcinoma tissues demonstrates the requirement for caution in the internal control gene selection for microRNA quantification | Q57141692 | ||
| MicroRNAs 143 and 150 in whole blood enable detection of T-cell immunoparalysis in sepsis | Q58546838 | ||
| SIRS--the systemic inflammatory response syndrome after cardiac operations | Q71126796 | ||
| Alterations in inflammatory capacity and TLR expression on monocytes and neutrophils after cardiopulmonary bypass | Q80167707 | ||
| MiRNAs: dynamic regulators of immune cell functions in inflammation and cancer | Q88815339 | ||
| Myeloid-Derived Suppressor Cells Mediate Immunosuppression After Cardiopulmonary Bypass | Q92437457 | ||
| Sepsis-induced immunosuppression: from cellular dysfunctions to immunotherapy | Q33828888 | ||
| Selection of reliable reference genes for quantitative real-time PCR in human T cells and neutrophils | Q34051777 | ||
| Cardiopulmonary bypass induced inflammation: pathophysiology and treatment. An update. | Q34515828 | ||
| Circulating microRNA-150 serum levels predict survival in patients with critical illness and sepsis | Q34571235 | ||
| Circulating microRNAs as blood-based markers for patients with primary and metastatic breast cancer | Q34613472 | ||
| Dysregulation in microRNA expression in peripheral blood mononuclear cells of sepsis patients is associated with immunopathology | Q34614894 | ||
| A comparison of background correction methods for two-colour microarrays | Q34667581 | ||
| The complexity of miRNA-mediated repression | Q34675236 | ||
| Identification of a set of endogenous reference genes for miRNA expression studies in Parkinson's disease blood samples | Q35322482 | ||
| A genomic storm in critically injured humans | Q35627656 | ||
| Customized Internal Reference Controls for Improved Assessment of Circulating MicroRNAs in Disease | Q35641595 | ||
| Identification of Predictive Early Biomarkers for Sterile-SIRS after Cardiovascular Surgery | Q35742583 | ||
| Real-time PCR: what relevance to plant studies? | Q35811627 | ||
| Small nucleolar RNA U91 is a new internal control for accurate microRNAs quantification in pancreatic cancer | Q35820915 | ||
| Immunosuppression in patients who die of sepsis and multiple organ failure | Q35991015 | ||
| Real-time RT-PCR normalisation; strategies and considerations. | Q36091282 | ||
| Plasma levels of microRNA are altered with the development of shock in human sepsis: an observational study | Q36424727 | ||
| Normalization of microRNA expression levels in quantitative RT-PCR assays: identification of suitable reference RNA targets in normal and cancerous human solid tissues | Q36575667 | ||
| U6 is unsuitable for normalization of serum miRNA levels in patients with sepsis or liver fibrosis | Q37212187 | ||
| Role of biomarkers in sepsis care. | Q37249625 | ||
| The changing immune system in sepsis: is individualized immuno-modulatory therapy the answer? | Q37563023 | ||
| Sepsis biomarkers: a review | Q37689825 | ||
| From snoRNA to miRNA: Dual function regulatory non-coding RNAs | Q37888019 | ||
| Small RNAs have a large impact: circulating microRNAs as biomarkers for human diseases | Q38018832 | ||
| Reference genes in real-time PCR. | Q38147050 | ||
| MicroRNAs in cancer: biomarkers, functions and therapy | Q38229952 | ||
| Identification and validation of microRNAs as endogenous controls for quantitative polymerase chain reaction in plasma for stable coronary artery disease | Q39099306 | ||
| Validation of the new Sepsis-3 definitions: proposal for improvement in early risk identification. | Q40447610 | ||
| Down-regulation of MicroRNA-31 in CD4+ T Cells Contributes to Immunosuppression in Human Sepsis by Promoting TH2 Skewing | Q40755045 | ||
| MicroRNA-146a controls Th1-cell differentiation of human CD4+ T lymphocytes by targeting PRKCε. | Q41704235 | ||
| MicroRNA: Biogenesis, Function and Role in Cancer | Q42004179 | ||
| MicroRNAs as Clinical Biomarkers and Therapeutic Tools in Perioperative Medicine | Q47251297 | ||
| Assessment of suitable reference genes for RT-qPCR studies in chronic rhinosinusitis | Q47556297 | ||
| Identification of suitable reference genes for qPCR analysis of serum microRNA in gastric cancer patients. | Q51464151 | ||
| P433 | issue | 1 | |
| P921 | main subject | whole blood | Q7997549 |
| sepsis | Q183134 | ||
| P304 | page(s) | 15735 | |
| P577 | publication date | 2019-10-31 | |
| P1433 | published in | Scientific Reports | Q2261792 |
| P1476 | title | Identification of suitable controls for miRNA quantification in T-cells and whole blood cells in sepsis | |
| P478 | volume | 9 |
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