Results 221 to 230 of about 4,446,471 (346)

Understanding Patterns in Software through Reverse Engineering

, 2010
Karl Annerhult
openalex   +1 more source

Autophagosome marker, LC3, is released extracellularly via several distinct pathways

FEBS Open Bio, EarlyView.
This study establishes a novel HiBiT‐tagging system for ultrasensitive detection of LC3, revealing multiple pathways for its extracellular secretion. It demonstrates that LC3 is released via both autophagy‐dependent and ‐independent mechanisms, including a novel route for nonlipidated LC3‐I.
Koki Saito, Masashi Arakawa, Koki Maeda, Eiji Morita   +3 more
wiley   +1 more source

Author Correction: Reverse engineering of the pattern recognition receptor FLS2 reveals key design principles of broader recognition spectra against evading flg22 epitopes. [PDF]

Nat Plants
Zhang S, Liu S, Lai HF, Bender KW, Kim G, Caflisch A, Zipfel C.   +6 more
europepmc   +1 more source

Stimulation-mediated reverse engineering of silent neural networks.

J Neurophysiol, 2023
Ren X, Bok I, Vareberg A, Hai A.
europepmc   +1 more source

Computational Reverse Protein Engineering of a Lipase from Pseudomonas Aeruginosa in N -Hexane

Myrnel Diche Almoradie-Fortuna, Jaidriel Meg G. Cabanding, Steve S.‐F. Yu, Zhi‐Han Lin, Adam Jo J. Elatico, Ricky B. Nellas   +5 more
openalex   +1 more source

Analysis of Treacher Collins syndrome 4‐associated mutations in Schizosaccharomyces pombe

FEBS Open Bio, EarlyView.
Fission yeast models carrying Treacher Collins syndrome type 4‐associated mutations reveal that impaired processivity of RNA polymerase I leads to defective rRNA transcription. This study highlights the essential role of a conserved arginine residue in Pol I elongation and provides mechanistic insight into the pathogenesis of ribosomopathies.
Kei Kawakami, Hiroaki Kato
wiley   +1 more source

Reverse engineering neuron-type-specific and type-orthogonal splicing-regulatory networks using diverse cellular transcriptomes. [PDF]

Cell Rep
Moakley DF, Campbell M, Anglada-Girotto M, Feng H, Califano A, Au E, Zhang C.   +6 more
europepmc   +1 more source

Reverse engineering environmental metatranscriptomes clarifies best practices for eukaryotic assembly. [PDF]

BMC Bioinformatics, 2023
Krinos AI, Cohen NR, Follows MJ, Alexander H.   +3 more
europepmc   +1 more source

REVERSE ENGINEERING: TENSION RATCHET DISSECTION PROJECT

, 2011
Jeremiah Vanderlaan, Josh Richert, James R. Morrison, Thomas E. Doyle   +3 more
openalex   +1 more source

Reverse Engineering Gene Interaction Networks Using the Phi-Mixing Coefficient [PDF]

, 2012
Nitin K. Singh, Mehmet Eren Ahsen, Shiva Mankala, Hyun‐Seok Kim, Michael A. White, M. Vidyasagar   +5 more
openalex   +1 more source