In this task, you are given a abstract of article and corresponding title of an article. Your task is to generate label "yes" if title is right for article, otherwise generate "no".

Ex Input:
Abstract: BACKGROUND In patients with Ovarian Cancer (OvCa) exosomes released by tumor cells are present in the plasma and could be involved in tumor progression. This study examines the association between the exosome presence/protein content in plasma of OvCa patients and disease outcome, response to standard therapy and/or tumorresistance to therapies in patients studied at diagnosis and also serially during and after therapy.
DESIGN AND METHODS Exosomes were purified from OvCa patients' plasma (n=22), patients with benign tumors (n=10) or (n=10) healthy controls (NC) using ultracentrifugation. Exosomes were visualized by scanning electron microscopy. Their protein content was measured. The presence of MAGE 3/6 and TGF-1 in exosomes was evaluated in Western blots.
RESULTS The OvCa patients' plasma contained higher levels of exosomal proteins (p<0.05) compared to those isolated from plasma of patients with benign tumors or NC. Exosomes isolated from OvCa patients's plasma carried TGF-1 and MAGE3/6, which distinguished OvCa patients from those with benign tumors and NC. High protein levels of exosomes were seen in newly diagnosed patients; however in advanced stages of OvCa patients the protein content of isolated exosomes was significantly higher than that of early stages. The exosome levels variably changed during/after chemotherapy, and correlations between the changes in exosomal protein levels and clinical data suggested that the protein content of exosomes might be useful in predicting responses to therapy and prognosis in OvCa patients.
CONCLUSION Analysis of plasma exosomes levels offers a novel approach to diagnosis and monitoring response to therapies in OvCa patients.. Title: Exosomes in Plasma of Patients with Ovarian Carcinoma: Potential Biomarkers of Tumor Progression and Response to Therapy.

Ex Output:
yes

Ex Input:
Abstract: FoxO transcription factors, inhibited by insulin/insulin-like growth factor signalling (IIS), are crucial players in numerous organismal processes including lifespan. Using genomic tools, we uncover over 700 direct dFOXO targets in adult female Drosophila. dFOXO is directly required for transcription of several IIS components and interacting pathways, such as TOR, in the wild-type fly. The genomic locations occupied by dFOXO in adults are different from those observed in larvae or cultured cells. These locations remain unchanged upon activation by stresses or reduced IIS, but the binding is increased and additional targets activated upon genetic reduction in IIS. We identify the part of the IIS transcriptional response directly controlled by dFOXO and the indirect effects and show that parts of the transcriptional response to IIS reduction do not require dfoxo. Promoter analyses revealed GATA and other forkhead factors as candidate mediators of the indirect and dfoxo-independent effects. We demonstrate genome-wide evolutionary conservation of dFOXO targets between the fly and the worm Caenorhabditis elegans, enriched for a second tier of regulators including the dHR96/daf-12 nuclear hormone receptor.. Title: Genome-wide dFOXO targets and topology of the transcriptomic response to stress and insulin signalling

Ex Output:
yes

Ex Input:
Abstract: Mesenchymal stem cells (MSCs) display substantial cell-to-cell variation. This heterogeneity manifests among donors, among tissue sources, and within cell populations. Such pervasive variability complicates the use of MSCs in regenerative applications and may limit their therapeutic efficacy. Most conventional assays measure MSC properties in bulk and, as a consequence, mask this cell-to-cell variation. Recent studies have identified extensive variability amongst and within clonal MSC populations, in dimensions including functional differentiation capacity, molecular state (e.g. epigenetic, transcriptomic, and proteomic status), and biophysical properties. While the origins of these variations remain to be elucidated, potential mechanisms include in vivo micro-anatomical heterogeneity, epigenetic bistability, and transcriptional fluctuations. Emerging tools for single cell analysis of MSC gene and protein expression may yield further insight into the mechanisms and implications of single cell variation amongst these cells, and ultimately improve the clinical utility of MSCs in tissue engineering and regenerative medicine applications. This review outlines the dimensions across which MSC heterogeneity is present, defines some of the known mechanisms that govern this heterogeneity, and highlights emerging technologies that may further refine our understanding and improve our clinical application of this unique cell type.. Title: On the origin and impact of mesenchymal stem cell heterogeneity: new insights and emerging tools for single cell analysis.

Ex Output:
yes