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Profil bibliographique

Pavel Ovcharov

Informations fournies par OpenAlex. Research Africa ne déduit ni nationalité, ni poste, ni coordonnées personnelles.

16Publications signalées
232Citations signalées
1Affiliations récentes

Les institutions déclarées

Les domaines associés

Lymphoma Diagnosis and TreatmentSingle-cell and spatial transcriptomicsCancer Cells and MetastasisAI in cancer detectionCancer Genomics and Diagnostics

Les publications récentes

Accès ouvert 2023 article OpenAlex

Spatial mapping of human hematopoiesis at single-cell resolution reveals aging-associated topographic remodeling

Aleksandr Sarachakov, Arina Varlamova, Viktor Svekolkin, Margarita Polyakova et autres

ABSTRACT: The spatial anatomy of hematopoiesis in the bone marrow (BM) has been extensively studied in mice and other preclinical models, but technical challenges have precluded a commensurate exploration in humans. Institutional pathology archives contain thousands of paraffinized BM core biopsy tissue …

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41 citations Blood
Accès ouvert 2023 preprint OpenAlex

Single Cell Resolution Spatial Mapping of Human Hematopoiesis Reveals Aging-Associated Topographic Remodeling

Aleksandr Sarachakov, Arina Varlamova, Viktor Svekolkin, Ilia Galkin et autres

ABSTRACT The spatial anatomy of hematopoiesis in bone marrow has been extensively studied in mice and other preclinical models, but technical challenges have precluded a commensurate exploration in humans. Institutional pathology archives contain thousands of paraffinized bone marrow core biopsy tissue specimens, …

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0 citations bioRxiv (Cold Spring Harbor Laboratory)
Accès ouvert 2022 article OpenAlex

Multiregional single-cell proteogenomic analysis of ccRCC reveals cytokine drivers of intratumor spatial heterogeneity

Natalia Miheecheva, Ekaterina Postovalova, Yang Lyu, Akshaya Ramachandran et autres

Intratumor heterogeneity (ITH) represents a major challenge for anticancer therapies. An integrated, multidimensional, multiregional approach dissecting ITH of the clear cell renal cell carcinoma (ccRCC) tumor microenvironment (TME) is employed at the single-cell level with mass cytometry (CyTOF), multiplex immunofluorescence (MxIF), and …

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40 citations Cell Reports
2022 conference-abstract OpenAlex

Abstract 6151: Tumor microenvironment heterogeneity identifies potential biomarkers of response in ER-positive breast cancers treated with palbociclib

Maria Bruttan, Souzan Sanati, Anna Belozerova, Ilia Galkin et autres

Abstract Despite the breast cancer microenvironment being recognized as a critical participant in tumor progression and therapeutic response, current technologies for tumor cell-to-cell interaction analyses are limited to qualitative and descriptive histological methods. Here, we utilized multiplex immunofluorescence (MxIF), RNA sequencing (RNA-seq), …

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0 citations Cancer Research
Accès ouvert 2022 preprint OpenAlex

A Multi-scale, Multiomic Atlas of Human Normal and Follicular Lymphoma Lymph Nodes

Andrea J. Radtke, Ekaterina Postovalova, Arina Varlamova, Alexander Bagaev et autres

SUMMARY Reference atlases, molecular and spatial maps of mammalian tissues, are critical resources for discovery efforts and translational research. Their utility is dependent on operationalizing the resulting data by identifying cell types, histological patterns, and predictive biomarkers underlying health and disease. The …

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7 citations bioRxiv (Cold Spring Harbor Laboratory)
2022 conference-abstract OpenAlex

A clinical AI-driven multiplex immunofluorescence imaging pipeline to characterize tumor microenvironment heterogeneity.

Dmitry N. Zarubin, Valeriy Belotskiy, Zhongmin Xiang, Arina Varlamova et autres

3020 Background: Understanding the underlying heterogeneity of the tumor microenvironment (TME) on a single-cell level is becoming increasingly important to predict a patient’s response to immunotherapy. Conventional imaging methods can help reveal tissue heterogeneity, but are not optimal for identifying multiple cellular …

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8 citations Journal of Clinical Oncology
Accès ouvert 2022 dataset OpenAlex

Accompanying dataset for: A Multi-scale, Multiomic Atlas of Human Normal and Follicular Lymphoma Lymph Nodes

Andrea J. Radtke, Ekaterina Postovalova, Arina Varlamova, Alexander Bagaev et autres

This dataset accompanies the manuscript titled “A Multi-scale, Multiomic Atlas of Human Normal and Follicular Lymphoma Lymph Nodes”, A. Radtke et al., bioRxiv, 2022. [doi: 10.1101/2022.06.03.494716] The dataset contains comma-separated-value tables describing human lymph nodes, both normal and from Follicular Lymphoma (FL) …

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0 citations Zenodo (CERN European Organization for Nuclear Research)
Accès ouvert 2022 dataset OpenAlex

Accompanying dataset for: A Multi-scale, Multiomic Atlas of Human Normal and Follicular Lymphoma Lymph Nodes

Andrea J. Radtke, Ekaterina Postovalova, Arina Varlamova, Alexander Bagaev et autres

This dataset accompanies the manuscript titled “A Multi-scale, Multiomic Atlas of Human Normal and Follicular Lymphoma Lymph Nodes”, A. Radtke et al., bioRxiv, 2022. [doi: 10.1101/2022.06.03.494716] The dataset contains the processed scRNA-seq information from human lymph nodes, both normal and from Follicular …

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0 citations Zenodo (CERN European Organization for Nuclear Research)
Accès ouvert 2022 dataset OpenAlex

Accompanying dataset for: A Multi-scale, Multiomic Atlas of Human Normal and Follicular Lymphoma Lymph Nodes

Andrea J. Radtke, Ekaterina Postovalova, Arina Varlamova, Alexander Bagaev et autres

This dataset accompanies the manuscript titled “A Multi-scale, Multiomic Atlas of Human Normal and Follicular Lymphoma Lymph Nodes”, A. Radtke et al., bioRxiv, 2022. [doi: 10.1101/2022.06.03.494716] The dataset contains the processed scRNA-seq information from human lymph nodes, both normal and from Follicular …

us (code pays fourni par la source)

0 citations Zenodo (CERN European Organization for Nuclear Research)
2021 conference-abstract OpenAlex

Topographic Analysis of Low-Grade Myeloid Neoplasms By Multiparametric in Situ Imaging of Human Bone Marrow Core Biopsy Tissues

Sanjay S. Patel, Viktor Svekolkin, Arina Varlamova, Ilia Galkin et autres

Abstract Diagnosis of low-grade myelodysplastic syndromes (LG-MDS) is one of the most challenging in hematopathology as it relies predominantly on morphologic assessment of dysplasia. Prior studies have demonstrated poor interobserver agreement among pathologists. Histomorphological evaluation of bone marrow core biopsy samples remains …

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0 citations Blood

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