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Dimitriev, A.

Publications and source records attributed to Dimitriev, A..

2 recordsLinked to original sources

Cell State Chaos Underpins the Evolution of SMARCA4-Deficient Dedifferentiated Endometrial Cancer

Dedifferentiated endometrial carcinoma (DDEC) is a histologically unique cancer type, wherein well-differentiated regions lie adjacent to morphologically distinct, high-grade lesions that are histologically undifferentiated. Previous studies have determined that in nearly half of the cases dedifferentiation is associated with the genomic inactivation of SMARCA4, a catalytic subunit belonging to the SWI/SNF chromatin remodelling complex (SWI/SNF CRC), suggesting that SMARCA4 loss causes dedifferentiation. Herein, using gene editing, we reveal that when serially passaged in mice, SMARCA4-deficient endometrial cancer cells repeatably and predictably generate heterogeneous admixtures of differentiated and undifferentiated cells, resembling human DDEC. Surprisingly, despite this metamorphosis, SMARCA4 loss does not induce lineage plasticity nor reprogramming to a less differentiated fate. Rather, single-cell sequencing combined with barcoding demonstrated that SMARCA4 loss induces a dysregulated epigenome that allows cells to randomly move through cellular states that are otherwise shared with SMARCA4-expressing well-differentiated cancer cells. This finding was validated using a cohort of patient samples, such that epithelial fate markers (E-CADHERIN) can be detected in morphologically undifferentiated cells. Collectively, this work constitutes the first repeatable model of human dedifferentiated cancer and suggests that histological dedifferentiation is not due to the acquisition of a stem cell-like fate. Rather, undifferentiated tissue emerges due to epigenomic dysfunction concomitant with the arbitrary movement of cancer cells between cellular states.

cancer biology↗

The effect of auditory stimulation on the nonlinear dynamics of heart rate: the impact of emotional valence and arousal.

BackgroundAlthough it is known that sound exposure evokes changes in autonomic activity, the effects of noise and music on the nonlinear behavior of heart rate fluctuations remain poorly understood and controversial. This study aims to assess the influence of sound subjective emotional valence and arousal on the nonlinear characteristics of the autonomic nervous system during passive listening. MethodsIn this study, forty-two subjects listened to four sounds: (1) white noise, (2) road traffic noise, (3) excitatory music, and (4) a lullaby. The experiment consisted of two consecutive sessions: five minutes of rest, followed by five minutes of listening. RR intervals were recorded during both sessions. The following linear and nonlinear heart rate variability indices were computed: SDNN, RMSSD, F, HF, approximate (ApEn) and sample entropy (SampEn), correlation dimension (D2), Poincare plot indices (SD1, SD2), fractal scaling exponents (alpha1, alpha2), and recurrence plot indices (Lmean, Lmax, DET, LAM, Vmax, TT, ShanEn). ResultsExcitatory music was associated with significant decrease in SDNN and RMSSD, diminished HF, and a substantial reduction in LF. Excitatory music exposure induced significant increases in DET, SD1 and SD2, but changes in DFA, SampEn, and D2 were nonsignificant. Traffic noise, white noise, and the lullaby did not cause significant changes in the measures of heart rate variability. ConclusionPresentation of music evoking strong negative emotions elicits a prominent decrease in respiratory sinus arrhythmia. Poincare plot and recurrence plot measures possess high sensitivity to high arousal and unpleasant music. Contrary to previous studies, we did not find the effects of relaxing music on heart rate variability.

physiology↗