Recollection-Based Retrieval Is Influenced by Contextual Variation at Encoding but Not at Retrieval

In this article, we investigated the effects of variations at encoding and retrieval on recollection. We argue that recollection is more likely to be affected by the processing that information undergoes at encoding than at retrieval. To date, manipulations shown to affect recollection were typically carried out at encoding. Therefore, an open question is whether these same manipulations would also affect recollection when carried out at retrieval, or whether there is an inherent connection between their effects on recollection and the encoding stage. We therefore manipulated, at either encoding or retrieval, fluency of processing (Experiment 1)—typically found not to affect recollection—and the amount of attentional resources available for processing (Experiments 2 and 3)—typically reported to affect recollection. We found that regardless of the type of manipulation, recollection was affected more by manipulations carried out at encoding and was essentially unaffected when these manipulations were carried out at retrieval. These findings suggest an inherent dependency between recollection-based retrieval and the encoding stage. It seems that because recollection is a contextual-based retrieval process, it is determined by the processing information undergoes at encoding—at the time when context is bound with the items—but not at retrieval—when context is only recovered.     

Phosphorylation of Cdc42 Effector Protein-4 (CEP4) by Protein Kinase C Promotes Motility of Human Breast Cells

Cdc42 effector protein-4 (CEP4) was recently identified by our laboratory to be a substrate of multiple PKC isoforms in non-transformed MCF-10A human breast cells. The significance of phosphorylated CEP4 to PKC-stimulated motility of MCF-10A cells was evaluated. Single site mutants at Ser residues embedded in potential PKC consensus sites (Ser¹⁸, Ser⁷⁷, Ser⁸⁰, and Ser⁸⁶) were individually replaced with Asp residues to simulate phosphorylation. Following expression in weakly motile MCF-10A cells, the S18D and S80D mutants each promoted increased motility, and the double mutant (S18D/S80D) produced a stronger effect. MS/MS analysis verified that Ser¹⁸ and Ser⁸⁰ were directly phosphorylated by PKCα in vitro. Phosphorylation of CEP4 severely diminished its affinity for Cdc42 while promoting Rac activation and formation of filopodia (microspikes). In contrast, the phosphorylation-resistant double mutant S18A/S80A-CEP4 blocked CEP4 phosphorylation and inhibited motility of MCF-10A cells that had been stimulated with PKC activator diacylglycerol lactone. In view of the dissociation of phospho-CEP4 from Cdc42, intracellular binding partners were explored by expressing each CEP4 double mutant from a tandem affinity purification vector followed by affinity chromatography, SDS-PAGE, and identification of protein bands evident only with S18D/S80D-CEP4. One binding partner was identified as tumor endothelial marker-4 (TEM4; ARHGEF17), a guanine nucleotide exchange factor that is involved in migration. In motile cells expressing S18D/S80D-CEP4, knockdown of TEM4 inhibited both Rac activation and motility. These findings support a model in which PKC-mediated phosphorylation of CEP4 at Ser¹⁸ and Ser⁸⁰ causes its dissociation from Cdc42, thereby increasing its affinity for TEM4 and producing Rac activation, filopodium formation, and cell motility.     

Theory of distributed quiescent state in the cell cycle

A generalization of the familiar two-compartment or G₀ model of the cell cycle is described. Instead of reserving the quiescent state strictly to newly born cells, it is distributed throughout the cell cycle. A cell may cease its proliferative activities anywhere in the cycle with a probability depending on its maturity. The probability of returning to cycle is also a function of maturity. Analytical expressions for cycle time distributions, growth rates, wave frequency and relative damping rates are derived for certain cases. A stable, diffusion-free numerical algorithm is used to work out some examples.     

Inactivation of soybean lipoxygenase 1 by 12-iodo-cis-9-octadecenoic acid

12-Iodo-cis-9-octadecenoic acid (12-IODE) is a time-dependent, irreversible inactivator of soybean lipoxygenase 1. The rate of inactivation is independent of 12-IODE concentration above 20 microM and is half-maximal at about 4 microM. Inactivation by 12-IODE requires lipid hydroperoxide, which must be present even after the initial oxidation of the iron in the enzyme from ferrous to ferric. Inactivation by 12-IODE is also dependent on O2. These findings suggest that 12-IODE is converted by the enzyme into a more reactive species, which is responsible for inactivation. No inactivation has been detected with 12-iodooctadecanoic acid, 12-bromo-cis-9-octadecenoic acid, 12-iodo-trans-9-octadecenoic acid, or a mixture of stereoisomers of 9,11-octadecadienoic acid.