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Alexey V Danilov

Publications and source records attributed to Alexey V Danilov.

3 recordsLinked to original sources

OmicsTweezer: A distribution-independent cell deconvolution model for multi-omics Data.

Cell deconvolution estimates cell type proportions from bulk omics data, enabling insights into tissue microenvironments and disease. However, practical applications are often hindered by batch effects between bulk data and referenced single-cell data, a challenge that is frequently overlooked. To address this discrepancy, we developed OmicsTweezer, a distribution-independent cell deconvolution model. By integrating optimal transport with deep learning, OmicsTweezer aligns simulated and real data in a shared latent space, effectively mitigating data shifts and inter-omics distribution differences. OmicsTweezer is versatile, capable of deconvolving bulk RNA-seq, bulk proteomics, and spatial transcriptomics. Extensive evaluations on simulated and real-world datasets demonstrate its robustness and accuracy. Furthermore, applications in prostate and colon cancer showcase OmicsTweezer's ability to identify biologically meaningful cell types. As a unified deconvolution framework for multi-omics data, OmicsTweezer offers an efficient and powerful tool for studying disease microenvironments.

Humans↗

Molecular pathogenesis of chronic lymphocytic leukemia.

Chronic lymphocytic leukemia (CLL) is unique among malignancies since it represents an accumulation of B-lymphocytes resistant to apoptosis. Several factors are thought to confer this unusual feature to a CLL B-cell. Misbalance between cytoplasmic pro-survival and pro-death molecules, such as Bcl-2, Mcl-1 and alike, appears to be one of the key factors defining B-cell longevity. Autocrine pathways, such as vascular endothelial growth factor-receptor pathway, also contribute to survival. The role of B-cell receptor (BCR) is less straightforward. In the last decade it became clear that CLL does not constitute a uniform disease, but, based on the prevalence of mutations in the BCR heavy chain (IgVH), can be classified into two distinct subgroups. Several molecular markers correlate with IgVH mutations. Some of them, like zeta-chain associated protein kinase, are also involved in BCR signaling and influence cell cycle. Yet the primary pathogenic event leading to increased proliferation and survival in CLL is difficult to ascertain. Molecules involved in BCR signaling pathways and cytoplasmic pro-survival players probably act in concert to confer resistance to apoptosis. In this respect, the role of the B-CLL environment, which includes nurse-like cells and T-cells, cannot be underestimated. Nurse-like cells provide stimuli necessary for perpetuation of life in CLL. On the other hand, abnormal T-cell function, whether it is excessive immunosuppression delivered by regulatory T-cells or insufficient anti-tumor immunity rendered by T-helpers, allows malignant CLL cells to go unnoticed by the cellular immune system.

Apoptosis↗

Differential control of G0 programme in chronic lymphocytic leukaemia: a novel prognostic factor.

Chronic lymphocytic leukaemia (CLL) is a unique malignancy where quiescent B cells accumulate in the peripheral blood. Since clinical outcomes in CLL are very heterogeneous, it is of utmost importance to correctly assess the disease prognosis in each individual case. Recently, it has been shown that high ZAP-70 [Zeta-chain (T-cell receptor) associated protein kinase (70 kDa)] expression level strongly correlates with lack of IgV(H) mutations and poor prognosis in B-CLL. As CLL malignant cells are arrested in G(0), we investigated whether Dipeptidyl Peptidase 2 (DPP2), a serine protease that plays a key role in keeping cells in the quiescent state, is involved in cell-cycle control in CLL. We have previously shown that specific inhibition of DPP2 results in apoptosis of normal lymphocytes. In this study, cell apoptosis experiments were conducted in 38 patients with B-CLL. Two distinct subsets of B-CLL were identified, susceptible and resistant to DPP2-inhibition-induced apoptosis. If resistant to apoptosis (42.1%), the CLL cells have higher expression of ZAP-70 and exhibit a worse prognosis, such as shorter treatment-free time period. Thus, resistance vs. susceptibility to DPP2-inhibiton induced apoptosis can be employed as a novel prognostic factor in CLL.

ADP-ribosyl Cyclase↗