Results 191 to 200 of about 8,163,121 (296)

Malformin A1–mediated cytotoxicity in ovarian cancer cells occurs through pyroptosis and autophagy

FEBS Open Bio, EarlyView.
This study investigated the effects of the natural compound Malformin A1 (MA1) on the cytoskeleton that regulates cell proliferation and migration. Disruption of the cytoskeleton can impair these processes and promote cancer cell death. MA1 disrupted cytoskeletal organization, induced DNA damage, inflammation, activated autophagy, and pyroptosis ...
Nada Abdullah Hassan, Ikram A. Burney, Shika Hanif Malgundkar, Siva Ramamoorthy, Ressin Varghese, Mohamed A. Al‐Kindi, Hamad Al Riyami, Shadia Al Bahlani, Sergey Dobretsov, Syed Imran Hassan, Benjamin K. Tsang, Yahya Tamimi   +11 more
wiley   +1 more source

Gene regulatory network transitions reveal the central transcription factors in lung adenocarcinoma progression. [PDF]

NPJ Syst Biol Appl
Ray U, Singh A, Samanta D, Dhar R.
europepmc   +1 more source

Ionomycin suppresses cancer cell growth by disrupting mitochondrial transcription

FEBS Open Bio, EarlyView.
In this study, we identify a new function for the selective Ca2+ ionophore, ionomycin, as an inhibitor of mitochondrial transcription. Both total and nascent RNA analyses revealed that ionomycin treatment reduces the transcription of mitochondrial genes.
Lishen Wang, Mingqiang Deng, Dongmei He, Diqin Lai, Dongjun Liu, Dengyong Zhu, Zhenhua Zhang, Peng Tang, Chuanman Zhou, Menghui Yin, Xichen Bao   +10 more
wiley   +1 more source

Identifying key regulators in neuronal transdifferentiation by gene regulatory network analysis. [PDF]

PNAS Nexus
Li L, Zhu B, Feng J.
europepmc   +1 more source

Accurate and noninvasive prostate cancer detection using plasma‐derived extracellular vesicle RNA

FEBS Open Bio, EarlyView.
Plasma extracellular vesicles were captured with WGA‐conjugated magnetic beads and profiled for RNA biomarkers. A three‐RNA panel (NM_024955, NR_047469, and NR_002564) distinguished prostate cancer from healthy controls and benign prostatic hyperplasia, supporting a simple, noninvasive approach to improve prostate cancer detection.
Hanping Wei, Haoran Wu, Wei Feng
wiley   +1 more source

CellPolaris: Transfer Learning for Gene Regulatory Network Construction to Guide Cell State Transitions. [PDF]

Adv Sci (Weinh)
Feng G, Qin X, Zhang J, Huang W, Zhang Y, Cui W, Chen Y, Li S, Liu W, Tian Y, Liu Y, Dong J, Xu P, Man Z, Liu G, Liang Z, Jiang X, Yang X, Wang P, Yang G, Wang H, Wang X, Tong MH, Zhou Y, Zhang S, Chen Y, Wang Y, Li X.   +27 more
europepmc   +1 more source

Evolution‐guided yeast complementation reveals functional differences in human PSPH variants

FEBS Open Bio, EarlyView.
Ancient genomes can help guide which human genetic variants are tested experimentally. This study applies that idea to PSPH, a gene involved in serine biosynthesis, and uses high‐throughput yeast complementation to compare variant function. The findings reveal measurable differences among selected alleles and illustrate the value of evolution‐guided ...
Mauricio Campa‐Álvarez, Diana Ascencio, Miguel Vallebueno‐Estrada, Eduardo González‐Orozco, Christian Eduardo Martínez‐Guerrero, Rafael Montiel, Alexander DeLuna   +6 more
wiley   +1 more source

Machine learning methods for gene regulatory network inference. [PDF]

Brief Bioinform
Hegde A, Nguyen T, Cheng J.
europepmc   +1 more source

From patient advocacy to patient‐driven research: Building active partnerships beginning at the bench to reach the bedside

FEBS Open Bio, EarlyView.
Research is strongest when conducted alongside patients, not just about them. Patient research organizations help integrate patient perspectives into research priorities, study design, and scientific meetings, leading to meaningful patient outcomes and development of relevant therapies.
Jenica H. Kakadia, Rachel Heilmann, Maximiliano Barrientos, Laura MacNeill, Ingrid Vallee, Sarah K. Schultz, Patrick O'Donoghue, Angelica A. Moresco, Victoria M. Siu, Ilka U. Heinemann   +9 more
wiley   +1 more source

PSGRN: Gene regulatory network inference from single-cell perturbational data through self-training with synthetic gold standards. [PDF]

Sci Adv
Song X, Deng K, Chen M, Guan Y.
europepmc   +1 more source