Multiple particle tracking analysis in isolated nuclei reveals the mechanical phenotype of leukemia cells.
Diego Herráez-AguilarElena MadrazoHoracio López-MenéndezManuel RamírezFrancisco MonroyJavier Redondo-MuñozPublished in: Scientific reports (2020)
The nucleus is fundamentally composed by lamina and nuclear membranes that enclose the chromatin, nucleoskeletal components and suspending nucleoplasm. The functional connections of this network integrate external stimuli into cell signals, including physical forces to mechanical responses of the nucleus. Canonically, the morphological characteristics of the nucleus, as shape and size, have served for pathologists to stratify and diagnose cancer patients; however, novel biophysical techniques must exploit physical parameters to improve cancer diagnosis. By using multiple particle tracking (MPT) technique on chromatin granules, we designed a SURF (Speeded Up Robust Features)-based algorithm to study the mechanical properties of isolated nuclei and in living cells. We have determined the apparent shear stiffness, viscosity and optical density of the nucleus, and how the chromatin structure influences on these biophysical values. Moreover, we used our MPT-SURF analysis to study the apparent mechanical properties of isolated nuclei from patients of acute lymphoblastic leukemia. We found that leukemia cells exhibited mechanical differences compared to normal lymphocytes. Interestingly, isolated nuclei from high-risk leukemia cells showed increased viscosity than their counterparts from normal lymphocytes, whilst nuclei from relapsed-patient's cells presented higher density than those from normal lymphocytes or standard- and high-risk leukemia cells. Taken together, here we presented how MPT-SURF analysis of nuclear chromatin granules defines nuclear mechanical phenotypic features, which might be clinically relevant.
Keyphrases
- induced apoptosis
- cell cycle arrest
- acute lymphoblastic leukemia
- acute myeloid leukemia
- gene expression
- dna damage
- bone marrow
- living cells
- endoplasmic reticulum stress
- transcription factor
- stem cells
- oxidative stress
- computed tomography
- magnetic resonance imaging
- cell death
- machine learning
- squamous cell carcinoma
- physical activity
- cell proliferation
- newly diagnosed
- diffuse large b cell lymphoma
- case report
- papillary thyroid
- cell therapy
- patient reported outcomes
- patient reported