Results 191 to 200 of about 26,597,943 (299)

Anticancer sensitivities and biological characteristics of HCT116 cells resistant to the selective poly(ADP‐ribose) glycohydrolase inhibitor

FEBS Open Bio, EarlyView.
We analyzed alterations of PAR metabolism‐related proteins in PARG inhibitor‐resistant HCT116RPDD cells. Although PARG levels remained unchanged, HCT116RPDD cells exhibited reduced PARP1 and ARH3 expression and elevated PAR levels. Interestingly, HCT116RPDD cells exhibited slightly elevated intracellular NAD+/NADH and ATP levels. Our findings suggest a
Kaede Tsuda, Yoko Ogino, Akira Sato
wiley   +1 more source

Beta-Binomial Model for Count Data: An Application in Estimating Model-Based Oral Reading Fluency. [PDF]

Educ Psychol Meas
Qiao X, Kamata A, Kara Y, Potgieter C, Nese JFT.   +4 more
europepmc   +1 more source

Tumor‐stromal crosstalk and macrophage enrichment are associated with chemotherapy response in bladder cancer

FEBS Open Bio, EarlyView.
Chemoresistance in bladder cancer: Macrophage recruitment associated with CXCL1, CXCL5 and CXCL8 expression is characteristic of Gemcitabine/Cisplatin (Gem/Cis) Non‐Responder tumors (right side) while Responder tumors did not show substantial tumor‐stromal crosstalk (left side). All biological icons are attributed to Bioicons: carcinoma, cancerous‐cell‐
Sophie Leypold, Janik Riese, Lancelot Seillier, Mark Kühnel, Julia Pannhausen, Charlotte O. J. Fröhlich, Christian Martin, Peter Boor, Matthias Saar, Danny D. Jonigk, Nadine T. Gaisa, Michael Rose   +11 more
wiley   +1 more source

Zero-inflated Poisson mixed model for longitudinal count data with informative dropouts. [PDF]

J Appl Stat
Sinha SK.
europepmc   +1 more source

Polarization‐resolved femtosecond Vis/IR spectroscopy tailored for resolving weak signals in biological samples using minimal sample volume

FEBS Open Bio, EarlyView.
Unique biological samples, such as site‐specific mutant proteins, are available only in limited quantities. Here, we present a polarization‐resolved transient infrared spectroscopy setup with referencing to improve signal‐to‐noise tailored towards tracing small signals. We provide an overview of characterizing the excitation conditions for polarization‐
Clark Zahn, Karsten Heyne
wiley   +1 more source

Predicting intramammary infections in non-lactating dairy cows using dairy herd improvement somatic cell count data for developing infection control benchmarks. [PDF]

J Vet Med Sci
Yamamoto H, Sentoku Y, Abe H, Sasaka T, Kurumisawa T, Kawai K.   +5 more
europepmc   +1 more source

Microglial dynamics and ferroptosis induction in human iPSC‐derived neuron–astrocyte–microglia tri‐cultures

FEBS Open Bio, EarlyView.
A tri‐culture of iPSC‐derived neurons, astrocytes, and microglia treated with ferroptosis inducers as an Induced ferroptosis model was characterized by scRNA‐seq, cell survival, and cytokine release assays. This analysis revealed diverse microglial transcriptomic changes, indicating that the system captures key aspects of the complex cellular ...
Hongmei Lisa Li, Hiroko Ohmiya, Sou Sakamoto, Masato Yugami, Akiko Oki, Makoto Furusawa, Yan Ling   +6 more
wiley   +1 more source

Analyte Importance Analysis in Machine Learning-Based Detection of Wrong-Blood-in-Tube Errors Using Complete Blood Count Data. [PDF]

J Pers Med
Sürmeli BG, Staritzbichler R, Ringel C, Al-Dakkak S, Dörksen H, Kaiser T.   +5 more
europepmc   +1 more source

Understanding bio‐based polymers: A study of origins, properties, biodegradation and their impact on health and the environment

FEBS Open Bio, EarlyView.
This review provides an overview of bio‐based polymer sources, their unique functional properties and their environmental impact, and addresses their role as sustainable alternatives. It discusses end‐of‐life options, including composting and anaerobic digestion for renewable energy.
Sabina Kolbl Repinc, Blaž Stres, Mirica Karlovits, Igor Karlovits, Petra Jerič, Ondrej Panák, Anja Verbič, Blaž Likozar, Uroš Novak   +8 more
wiley   +1 more source

Machine Learning-Based Prediction of Clinical Outcomes in Patients With Cancer Receiving Systemic Treatment Using Step Count Data Measured With Smartphones. [PDF]

JCO Clin Cancer Inform
Brouwer CG, Bartelet BM, Douma JAJ, van Doorn L, Kuip EJM, Verheul HMW, Buffart LM.   +6 more
europepmc   +1 more source