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Fanconi Anemia Core Complex Gene Promoters Harbor Conserved Transcription Regulatory Elements
(2011)
The Fanconi anemia (FA) gene family is a recent addition to the complex network of proteins that respond to and repair certain types of DNA damage in the human genome. Since little is known about the regulation of this novel group of genes at the DNA level, we characterized the promoters of the eight genes (FANCA, B, C, E, F, G, L and M) that compose the FA core complex. The promoters of these genes show the characteristic attributes of housekeeping genes, such as a high GC content and CpG islands, a lack of TATA boxes and a low conservation. The promoters functioned in a monodirectional way and were, in their most active regions, comparable in strength to the SV40 promoter in our reporter plasmids. They were also marked by a distinctive transcriptional start site (TSS). In the 59 region of each promoter, we identified a region that was able to negatively regulate the promoter activity in HeLa and HEK 293 cells in isolation. The central and 39 regions of the promoter sequences harbor binding sites for several common and rare transcription factors, including STAT, SMAD, E2F, AP1 and YY1, which indicates that there may be cross-connections to several established regulatory pathways. Electrophoretic mobility shift assays and siRNA experiments confirmed the shared regulatory responses between the prominent members of the TGF-b and JAK/STAT pathways and members of the FA core complex. Although the promoters are not well conserved, they share region and sequence specific regulatory motifs and transcription factor binding sites (TBFs), and we identified a bi-partite nature to these promoters. These results support a hypothesis based on the co-evolution of the FA core complex genes that was expanded to include their promoters.
Fanconi Anämie (FA) ist eine autosomal rezessive, im Falle der Untergruppe FA-B X-chromosomale Erbkrankheit, die mit chromosomaler und genomischer Instabilität verbunden ist und sich durch große phänotypische und genetische Heterogenität auszeichnet. Symptomatisch sind Knochenmarksversagen, eine Vielfalt angeborener Fehlbildungen, die weit überdurchschnittliche Disposition für akute myeloische Leukämie (AML), Plattenepithelkarzinome (SCC) sowie eine zelluläre Hypersensitivität gegenüber DNA Doppelstrangvernetzenden Substanzen. FA wird kompliziert durch ein progressives Knochenmarksversagen. Die FA Proteine sind essentiell für die interstrand crosslink (ICL) repair sowie an anderen DNA Reparatursystemen, beteiligt. Bisher wurden hauptsächlich Regulationsmechanismen untersucht, die die FA Proteine betreffen. Die Regulation der Transkripte war bisher nahezu unbekannt. In der vorliegenden Arbeit wurde die transkriptionelle Regulation der sogenannten FA core complex Gene untersucht. Dabei handelt es sich um acht Gene, deren Produkte im Falle eines DNA Schadens den ersten Proteinkomplex des FA/BRCA Signalweges bilden. Für diese acht Gene wurden in dieser Arbeit die Promotoren identifiziert und ihr Aktivierungspotential charakterisiert. Dabei stellte sich heraus, dass diese ein starkes Potential für die Transkriptionsinitiierung besitzen. Des Weiteren zeigten sich Gemeinsamkeiten in Form von Sequenzmotiven sowie Transkriptionsfaktorbindestellen, die in allen core complex Genen nahezu identisch waren. Durch diese Analysen ergaben sich Hinweise, dass die untersuchten Gene durch Mitglieder des JAK/ STAT (STAT1/4) sowie des TGF-b Signalwegs (SMAD1/4) reguliert werden. Funktionelle Untersuchungen mittels siRNA sowie Fibroblastenzelllinen, die biallelische FANCA Mutationen trugen, bestätigten diese Verbindungen. So hatte der knockdown der entsprechenden Transkriptionsfaktoren einen reduzierenden Einfluss auf die Transkriptmenge der core complex Gene. FANCA-mutierte Zelllinen weisen reduzierte mRNAs von STAT und SMAD auf. Darüber hinaus fanden sich signifikante Änderungen der Transkriptmenge in 112 verschiedenen Mitgliedern dieser Signalwege in den FA-A Zellinien. Eines dieser Mitglieder, IRF1, zeigte fast identische Ergebnisse wie sie bei STAT1/4 sowie SMAD1/4 beobachtet werden konnten. Die vorliegende Arbeit trägt dazu bei, die transkriptionelle Regulation der core complex Gene besser zu verstehen. Die auffälligen Gemeinsamkeiten ihrer Regulation liefern neue Argumente für eine Koevolution dieser Gene.
Tuberculosis (TB) is one of the leading causes of death by an infectious disease. It remains a major health burden worldwide, in part due to misdiagnosis. Therefore, improved diagnostic tests allowing the faster and more reliable diagnosis of patients with active TB are urgently needed. This prospective study examined the performance of the new molecular whole-blood test T-Track\(^®\) TB, which relies on the combined evaluation of IFNG and CXCL10 mRNA levels, and compared it to that of the QuantiFERON\(^®\)-TB Gold Plus (QFT-Plus) enzyme-linked immunosorbent assay (ELISA). Diagnostic accuracy and agreement analyses were conducted on the whole blood of 181 active TB patients and 163 non-TB controls. T-Track\(^®\) TB presented sensitivity of 94.9% and specificity of 93.8% for the detection of active TB vs. non-TB controls. In comparison, the QFT-Plus ELISA showed sensitivity of 84.3%. The sensitivity of T-Track\(^®\) TB was significantly higher (p < 0.001) than that of QFT-Plus. The overall agreement of T-Track\(^®\) TB with QFT-Plus to diagnose active TB was 87.9%. Out of 21 samples with discordant results, 19 were correctly classified by T-Track\(^®\) TB while misclassified by QFT-Plus (T-Track\(^®\) TB-positive/QFT-Plus-negative), and two samples were misclassified by T-Track\(^®\) TB while correctly classified by QFT-Plus (T-Track\(^®\) TB-negative/QFT-Plus-positive). Our results demonstrate the excellent performance of the T-Track\(^®\) TB molecular assay and its suitability to accurately detect TB infection and discriminate active TB patients from non-infected controls.
Background
A basic requirement for artificial intelligence (AI)–based image analysis systems, which are to be integrated into clinical practice, is a high robustness. Minor changes in how those images are acquired, for example, during routine skin cancer screening, should not change the diagnosis of such assistance systems.
Objective
To quantify to what extent minor image perturbations affect the convolutional neural network (CNN)–mediated skin lesion classification and to evaluate three possible solutions for this problem (additional data augmentation, test-time augmentation, anti-aliasing).
Methods
We trained three commonly used CNN architectures to differentiate between dermoscopic melanoma and nevus images. Subsequently, their performance and susceptibility to minor changes (‘brittleness’) was tested on two distinct test sets with multiple images per lesion. For the first set, image changes, such as rotations or zooms, were generated artificially. The second set contained natural changes that stemmed from multiple photographs taken of the same lesions.
Results
All architectures exhibited brittleness on the artificial and natural test set. The three reviewed methods were able to decrease brittleness to varying degrees while still maintaining performance. The observed improvement was greater for the artificial than for the natural test set, where enhancements were minor.
Conclusions
Minor image changes, relatively inconspicuous for humans, can have an effect on the robustness of CNNs differentiating skin lesions. By the methods tested here, this effect can be reduced, but not fully eliminated. Thus, further research to sustain the performance of AI classifiers is needed to facilitate the translation of such systems into the clinic.