Results 91 to 100 of about 9,899,312 (276)

Reconstructing enzyme evolution by protein engineering

FEBS Letters, EarlyView.
Natural enzyme evolution can be retraced by protein engineering methods such as directed evolution, rational design, and ancestral sequence reconstruction. These approaches reveal how enzymes emerged from ligand‐binding scaffolds, developed varying substrate preferences, formed oligomeric complexes, adapted to environmental changes, and evolved novel ...
Lukas Drexler, Markus R. Busch, Reinhard Sterner   +2 more
wiley   +1 more source

Sample size determination across study designs in health professions education research: a methodology guide [version 2; peer review: 1 approved, 2 approved with reservations]

F1000Research
Background Sample size determination is one of the least reported elements in the methods sections of health professions education (HPE) research. Underpowered studies miss real effects, whereas overpowered studies waste participants and resources ...
Shivashankar Kengadaran, Maheshkumar Baladaniya, Aditya Patel, Ramprasad Muthukrishnan, Waqar M Naqvi, Aishwarya A Pashine, Praveen Kumar Kandakurthi, Anusha Divvi   +7 more
doaj   +1 more source

Investigating transcription factor dynamics in health and disease using FRAP

FEBS Letters, EarlyView.
FRAP analysis of GFP‐tagged transcription factors reveals how molecular mobility and target engagement change in response to drug treatment. By combining live‐cell imaging, quantitative model fitting, and statistical analysis, this approach uncovers transcription factor dynamics linked to disease mechanisms, providing a powerful framework for ...
Kannan Govindaraj, Carolina Vazquez Garzon, Jose Joaquin Velasco, Janine N. Post   +3 more
wiley   +1 more source

Sample Size Calculation and Power Analysis of Time-Averaged Difference [PDF]

, 2005
Little research has been done on sample size and power analysis under repeated measures design. With detailed derivation, we have shown sample size calculation and power analysis equations for timeaveraged difference to allow unequal sample sizes between
Wu, Tongtong, Honghu Liu, Liu, Honghu, Tongtong Wu   +3 more
core   +1 more source

Microbiome‐blood–brain barrier interactions in aging — mechanisms and therapeutic potential

FEBS Letters, EarlyView.
Aging reshapes the gut microbiome (↓SCFA‐producing commensals; ↑pro‐inflammatory outputs), shifting circulating metabolites (↓SCFAs; ↑LPS, ↑TMAO, ↑PAA) that act at the BBB to increase nonspecific transcytosis, alter transport, and promote astrocyte reactivity, heightening brain vulnerability.
Daniel Cuervo‐Zanatta, Hari Baskar Balasubramanian, Amir Pasokh, Marietta Zille   +3 more
wiley   +1 more source

Relative power and sample size analysis on gene expression profiling data [PDF]

, 2009
Background: With the increasing number of expression profiling technologies, researchers today are confronted with choosing the technology that has sufficient power with minimal sample size, in order to reduce cost and time.
Boer, J.M., Boer JM, JM Boer, JT den Dunnen, Iterson, M., van, Hoen, P.A.C., 't, Menezes RX, M van Iterson, den Dunnen JT, van Iterson M, Ommen, G.J.B. van, Pedotti P, Ommen, G.J.B., van, Hoen, P.A.C. (Peter) 't, van Ommen GJB, Menezes, R.X., PAC 't Hoen, Boer, J.M. (Judith), Dunnen, J.T., den, Pedotti, P., Iterson, M. (Maarten) van, GJEJ Hooiveld, P Pedotti, Hooiveld GJEJ, RX Menezes, Menezes, R.X. (Renee) de, Dunnen, J.T. (Johan) den, Hooiveld, G.J.E.J., GJB van Ommen, 't Hoen PAC   +29 more
core   +1 more source

Ligand‐dependent transcriptional heterogeneity in cell cycle gene expression delays G1/S entry

FEBS Letters, EarlyView.
EGF and HRG induce distinct G1/S progression programs in ErbB2‐amplified BT474 breast cancer cells. Despite activating the potent ErbB2–ErbB3 heterodimer, HRG does not accelerate cell‐cycle entry. Instead, EGF promotes earlier restriction‐point passage via ERK–FOS signaling, whereas HRG activates the AKT–MYC axis, driving transcriptional heterogeneity ...
Ririn Rahmala Febri, Ayaka Nagasato‐Ichikawa, Keita Iida, Shuhei Kimura, Akira Imamoto, Mariko Okada   +5 more
wiley   +1 more source

Synergistic perspectives—How single‐molecule biophysics complement biochemical understanding

FEBS Letters, EarlyView.
In this review, we discuss how ensemble biochemistry and single‐molecule approaches are complementary, outline commonly used single‐molecule techniques, and illustrate their relevance through two representative case studies: chromatin organization by SMC complexes and pathway choice during DNA double‐strand break repair.
Sara De Bragança, Eline L. Jansen, Jorine M. Eeftens   +2 more
wiley   +1 more source

Three-stage cluster sampling and sample size calculation.

Three-stage cluster sampling and sample size calculation.
Zerin Jannat (18462282), Hemel Das (14555093), Tasnuva Wahed (3900745), Md. Wazed Ali (9625451), Md. Nurul Alam (18462285), Md. Jasim Uddin (9625454)   +5 more
core   +1 more source

Additional file 1 of Sample size calculation in multi-centre clinical trials

, 2018
This file contains the calculation of the sample size formula.
Markus Harden (3949568), Tim Friede (690576)   +1 more
core   +1 more source