CD44 expression level on different cell lines of hematopoietic origin

CD44 is a hyaluronic acid receptor, a surface molecule expressed on many cells in human body that is essential for some processes, such as cell adhesion and migration. Therefore, this molecule also plays an important role in various aspects of tumor growth, metastasis and invasive processes. High levels of CD44 expression have been found on tumor cells from patients with hematological malignancies, and there is a direct link between CD44 levels and the likelihood of relapse, as well as a dismal prognosis in most hematological malignancies. The purpose of this study was to determine the level of CD44 expression on the surface of tumor cells, namely cell lines of hematopoietic origin. The expression of CD44 on cell lines 1301 (T cell lymphoma) and K562 (erythromyeloid leukemia) was assessed by flow cytometry. It was demonstrated that the both cell lines are capable of expressing the CD44 molecule on their surface. In the case of erythromyeloid leukemia cell line K562, a low level of expression of this receptor was observed, while in the case of the T cell lymphoma cell line 1301, the vast majority of cells showed high level of CD44 expression. In general, the level of expression of this receptor on tumor cells in the case of hematological malignancies may be quite variable in different cell lines of hematopoietic origin.

Authors

Institutions

Publication Details

Journal
Russian Journal of Immunology
Published
2025-02-16
DOI
https://doi.org/10.46235/1028-7221-17053-cel
Primary Topic
Proteoglycans and glycosaminoglycans research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

CD44 expression level on different cell lines of hematopoietic origin

M. T. Berishvili, E. A. Pashkina, O. L. Krugleeva, М. В. Быкова
Russian Journal of Immunology
Proteoglycans and glycosaminoglycans research
article

CD44 expression level on different cell lines of hematopoietic origin

M. T. Berishvili, E. A. Pashkina, O. L. Krugleeva, М. В. Быкова
article en

Abstract

CD44 is a hyaluronic acid receptor, a surface molecule expressed on many cells in human body that is essential for some processes, such as cell adhesion and migration. Therefore, this molecule also plays an important role in various aspects of tumor growth, metastasis and invasive processes. High levels of CD44 expression have been found on tumor cells from patients with hematological malignancies, and there is a direct link between CD44 levels and the likelihood of relapse, as well as a dismal prognosis in most hematological malignancies. The purpose of this study was to determine the level of CD44 expression on the surface of tumor cells, namely cell lines of hematopoietic origin. The expression of CD44 on cell lines 1301 (T cell lymphoma) and K562 (erythromyeloid leukemia) was assessed by flow cytometry. It was demonstrated that the both cell lines are capable of expressing the CD44 molecule on their surface. In the case of erythromyeloid leukemia cell line K562, a low level of expression of this receptor was observed, while in the case of the T cell lymphoma cell line 1301, the vast majority of cells showed high level of CD44 expression. In general, the level of expression of this receptor on tumor cells in the case of hematological malignancies may be quite variable in different cell lines of hematopoietic origin.

Russian Journal of ImmunologyVol. 28(2)
Novosibirsk State Medical University (RU), Research Institute of Fundamental and Clinical Immunology (RU)
Openalex Percentile: Top 96%
Proteoglycans and glycosaminoglycans research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.