Search results for "Cell Enumeration Techniques"
showing 3 items of 3 documents
Circulating monocyte subsets and heart failure prognosis
2018
Altres ajuts: Fundacio' La MARATO' de TV3 (201502 to ABG, 201516), AdvanceCat with the support of ACCIÓ [Catalonia Trade & Investment, Generalitat de Catalunya], Fundació Bancària La Caixa. Monocytes are a heterogeneous population of effector cells with key roles in tissue integrity restoration and maintenance. Here, we explore the association of monocyte subsets and prognosis in patients with ambulatory heart failure (HF). Monocyte subsets were classified as classical (CD14 ++ /CD16 -), intermediate (CD14 ++ /CD16 +), or non-classical (CD14 + /CD16 ++). Percentage distribution and absolute cell count were assessed in each subset, and multivariable Cox regression analyses were performed wit…
PML nuclear body-residing proteins sequentially associate with HPV genome after infectious nuclear delivery.
2019
Subnuclear promyelocytic leukemia (PML) nuclear bodies (NBs) are targeted by many DNA viruses after nuclear delivery. PML protein is essential for formation of PML NBs. Sp100 and Small Ubiquitin-Like Modifier (SUMO) are also permanently residing within PML NBs. Often, large DNA viruses disassemble and reorganize PML NBs to counteract their intrinsic antiviral activity and support establishment of infection. However, human papillomavirus (HPV) requires PML protein to retain incoming viral DNA in the nucleus for subsequent efficient transcription. In contrast, Sp100 was identified as a restriction factor for HPV. These findings suggested that PML NBs are important regulators of early stages o…
Robust Conditional Independence maps of single-voxel Magnetic Resonance Spectra to elucidate associations between brain tumours and metabolites.
2020
The aim of the paper is two-fold. First, we show that structure finding with the PC algorithm can be inherently unstable and requires further operational constraints in order to consistently obtain models that are faithful to the data. We propose a methodology to stabilise the structure finding process, minimising both false positive and false negative error rates. This is demonstrated with synthetic data. Second, to apply the proposed structure finding methodology to a data set comprising single-voxel Magnetic Resonance Spectra of normal brain and three classes of brain tumours, to elucidate the associations between brain tumour types and a range of observed metabolites that are known to b…