Publications by authors named "T Machackova"

Stage II colon cancer (CC) encompasses a heterogeneous group of patients with diverse survival experiences: 87% to 58% 5-year relative survival rates for stages IIA and IIC, respectively. While stage IIA patients are usually spared the adjuvant chemotherapy, some of them relapse and may benefit from it; thus, their timely identification is crucial. Current gene expression signatures did not specifically target this group nor did they find their place in clinical practice.

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Article Synopsis
  • * The research focused on analyzing long non-coding RNAs (lncRNAs) in small extracellular vesicles (sEVs) from the blood serum of CRC patients, using two phases: an exploratory RNA sequencing phase and a subsequent validation phase with larger groups.
  • * Results revealed 460 different RNA transcripts between CRC patients and healthy individuals, identifying three specific lncRNAs (NALT1, AL096828, and LINC01637) that were upregulated in CRC, paving the way for their potential use as diagnostic biomarkers in future studies.
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This review presents a comprehensive overview of labelling strategies for endogenous and exogenous extracellular vesicles, that can be utilised both in vitro and in vivo. It covers a broad spectrum of approaches, including fluorescent and bioluminescent labelling, and provides an analysis of their applications, strengths, and limitations. Furthermore, this article presents techniques that use radioactive tracers and contrast agents with the ability to track EVs both spatially and temporally.

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Background: Catheter ablation (CA) of atrial fibrillation (AF) is indicated in patients with recurrent and symptomatic AF episodes. Despite the strict inclusion/exclusion criteria, AF recurrence after CA remains high. Identification of a novel biomarker that would predict AF recurrence would help to stratify the patients.

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Objectives: Small extracellular vesicles (EVs) contain various signaling molecules, thus playing a crucial role in cell-to-cell communication and emerging as a promising source of biomarkers. However, the lack of standardized procedures impedes their translation to clinical practice. Thus, we compared different approaches for high-throughput analysis of small EVs transcriptome.

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