Results 161 to 170 of about 2,577,886 (309)

Mutant p53R273H disrupts PDPK1 homodimerization and contributes to PDPK1 activation

Molecular Oncology, EarlyView.
How mutant p53R273H drives AKT signaling is unclear. We show that p53R273H, but not wild‐type, directly binds PDPK1 via a mutation‐dependent conformational change. This interaction disrupts inhibitory PDPK1 homodimerization and enhances AKT phosphorylation.
Mei Chee Lim, Alvin Kunyao Guo, Yoko Itahana, Srinivasaraghavan Kannan, Valerie Goh, Mingmin Ong, Terina Yan Wen Tay, Weiying Ye, Sabhashina Radha Krishnan, Jun Nishiyama, Chandra S Verma, Koji Itahana   +11 more
wiley   +1 more source

Development and validation of objective performance metrics for robot-assisted basic surgical skills in a simulated anastomosis task using a single-port robotic system. [PDF]

J Robot Surg
Beatrici E, Santarelli V, Guidotti A, Pepillo F, de Angelis M, Barretta A, Cei F, Frego N, Paciotti M, Vanderstraeten E, Van Herzeele I, Puliatti S, De Naeyer G, Farinha R, De Groote R, Hemal S, Wiklund P, Crivellaro S, Challacombe B, Rashidian N, Mottrie A.   +20 more
europepmc   +1 more source

Targeting the EpCAM‐AXL axis to overcome drug resistance in lung cancer

Molecular Oncology, EarlyView.
Lung cancer cells often evade therapy by hijacking signaling pathways. We reveal that cleaved EpCAM (sEpCAM) stabilizes the oncogenic protein AXL, driving NF‐κB and STAT3‐mediated chemoresistance. This EpCAM‐AXL axis identifies a high‐risk patient subset with poor prognosis.
Alexa Guerrero‐Alba, Mark Shacker, Timothy P. Fleming, Michael A. Smith, Ross M. Bremner, Narendra V. Sankpal   +5 more
wiley   +1 more source

Estimating Standard Errors For The Parks Model: Can Jackknifing Help? [PDF]

Non-spherical errors, namely heteroscedasticity, serial correlation and cross-sectional correlation are commonly present within panel data sets. These can cause significant problems for econometric analyses.
W. Robert Reed, Rachel S. Webb
core  

Learning from mistakes: Objective and subjective error magnitudes predict the testing effect. [PDF]

Psychon Bull Rev
Shi A, Liu XL.
europepmc   +1 more source

Department of Error [PDF]

The Lancet, 2017
Stanaway, JD, Afshin, A, Gakidou, E, Lim, SS, Abate, D, Abate, KH, Abbafati, C, Abbasi, N, Abbastabar, H, Abd-Allah, F, Abdela, J, Abdelalim, A, Abdollahpour, I, Abdulkader, RS, Abebe, M, Abebe, Z, Abera, SF, Abil, OZ, Abraha, HN, Abrham, AR, Abu-Raddad, LJ, Abu-Rmeileh, NME, Accrombessi, MMK, Acharya, D, Acharya, P, Adamu, AA, Adane, AA, Adebayo, OM, Adedoyin, RA, Adekanmbi, V, Ademi, Z, Adetokunboh, OO, Adib, MG, Admasie, A, Adsuar, JC, Afanvi, KA, Afarideh, M, Agarwal, G, Aggarwal, A, Aghayan, SA, Agrawal, A, Agrawal, S, Ahmadi, A, Ahmadi, M, Ahmadieh, H, Ahmed, MB, Aichour, AN, Aichour, I, Aichour, MTE, Akbari, ME, Akinyemiju, T, Akseer, N, Al-Aly, Z, Al-Eyadhy, A, Al-Mekhlafi, HM, Alahdab, F, Alam, K, Alam, S, Alam, T, Alashi, A, Alavian, SM, Alene, KA, Ali, K, Ali, SM, Alijanzadeh, M, Alizadeh-Navaei, R, Aljunid, SM, Alkerwi, A, Alla, F, Alsharif, U, Altirkawi, K, Alvis-Guzman, N, Amare, AT, Ammar, W, Anber, NH, Anderson, JA, Andrei, CL, Androudi, S, Animut, MD, Anjomshoa, M, Ansha, MG, Antó, JM, Antonio, CAT, Anwari, P, Appiah, LT, Appiah, SCY, Arabloo, J, Aremu, O, Ärnlöv, J, Artaman, A, Aryal, KK, Asayesh, H, Ataro, Z, Ausloos, M, Avokpaho, EFGA, Awasthi, A, Ayala Quintanilla, BP, Ayer, R, Ayuk, TB, Azzopardi, PS   +99 more
openaire   +7 more sources

Engineering IL‐4 resistant proinflammatory human myeloid cells for cancer immunotherapy

Molecular Oncology, EarlyView.
We developed a scalable workflow to generate proinflammatory human myeloid cells. CRISPR/Cas9‐edited CD34+ hematopoietic stem and progenitor cells were expanded and differentiated with M‐CSF. Deletion of STAT6 or STAT6/NFKB1 enhanced macrophage proinflammatory gene expression and cytokine secretion in the presence of IL‐4 while maintaining antibody ...
Theresa Barberi, Alan D. Friedman
wiley   +1 more source

Automated FRAP microscopy for high‐throughput analysis of protein dynamics in chromatin organization and transcription

FEBS Open Bio, EarlyView.
RoboMic is an automated confocal microscopy pipeline for high‐throughput functional imaging in living cells. Demonstrated with fluorescence recovery after photobleaching (FRAP), it integrates AI‐driven nuclear segmentation, ROI selection, bleaching, and analysis.
Selçuk Yavuz, Bart Geverts, Johan A. Slotman, Andrea Sacchetti, Stefan Prekovic, Martin E. van Royen, Adriaan B. Houtsmuller   +6 more
wiley   +1 more source

A framework for developing, validating, and utilizing automated measures of order errors using the retract-and-reorder methodology. [PDF]

JAMIA Open
Spector PR, Grauer A, Kneifati-Hayek JZ, Ranard BL, Applebaum JR, Fernandes Y, Salmasian H, Southern WN, Schechter CB, Hruby G, Cooke JT, Kumaraiah D, Fertel B, Adelman JS.   +13 more
europepmc   +1 more source

RoundMi: A quantitative method to analyze mitochondrial morphology in mitotic cells

FEBS Open Bio, EarlyView.
RoundMi is a workflow for rapid analysis of mitochondrial morphology in mitotic cells. By combining adaptive preprocessing with automated segmentation and quantification, it enables accurate measurements from single focal plane images, reducing acquisition time and computational demands while remaining compatible with high‐throughput fixed and live ...
Elmira Parvindokht Bararpour, Christine Volmert, Valentina Piano   +2 more
wiley   +1 more source