Let $\mathfrak{p}$ be a prime ideal in a commutative noetherian ring R and denote by $k(\mathfrak{p})$ the residue field of the local ring $R_\mathfrak{p}$. We prove that if an R-module M satisfies $\operatorname{Ext}_R^{n}(k(\mathfrak{p}),M)=0$ for some $n\geqslant\dim R$, then $\operatorname{Ext}_R^i(k(\mathfrak{p}),M)=0$ holds for all $i \geqslant n$. This improves a result of Christensen, Iyengar and Marley by lowering the bound on n. We also improve existing results on Tor-rigidity. This progress is driven by the existence of minimal semi-flat-cotorsion replacements in the derived category as recently proved by Nakamura and Thompson.

We report the development of a method to analyze receptor and β-arrestin2 mobilization between Class A and B GPCRs via time-resolved fluorescent microscopy coupled with semiautomated high-content multiparametric analysis. Using transiently expressed, tagged β2-adrenergic receptor (β2-AR) or parathyroid hormone receptor type 1 (PTH1R), we quantified trafficking of the receptors along with the mobilization and colocalization of coexpressed tagged β-arrestin2. This classification system allows for exclusion of cells with nonoptimal characteristics and calculation of multiple morphological and spatial parameters including receptor endosome formation, β-arrestin mobilization, colocalization, areas, and shape. Stimulated Class A and B receptors demonstrate dramatically different patterns with regard to β-arrestin interactions. The method provides high kinetic resolution measurement of receptor translocation, which allows for the identification of the fleeting β-arrestin interaction found with β2-AR agonist stimulation, in contrast to stronger mobilization and receptor colocalization with agonist stimulation of the PTH1R. Though especially appropriate for receptor kinetic studies, this method is generalizable to any dual fluorescence probe system in which quantification of object formation and movement is desired. These methodologies allow for quantitative, unbiased measurement of microscopy data and are further enhanced by providing real-time kinetics.

One of the most routine uses of fluorescence microscopy is colocalization, i.e., the demonstration of a relationship between pairs of biological molecules. Frequently this is presented simplistically by the use of overlays of red and green images, with areas of yellow indicating colocalization of the molecules. Colocalization data are rarely quantified and can be misleading. Our results from both synthetic and biological datasets demonstrate that the generation of Pearson's correlation coefficient between pairs of images can overestimate positive correlation and fail to demonstrate negative correlation. We have demonstrated that the calculation of a thresholded Pearson's correlation coefficient using only intensity values over a determined threshold in both channels produces numerical values that more accurately describe both synthetic datasets and biological examples. Its use will bring clarity and accuracy to colocalization studies using fluorescent microscopy.

The cholinergic amacrine cells of the rabbit retina form two mosaics placed symmetrically on either side of the inner plexiform layer. Recently, these cells have been reported to contain immunocytochemical markers for GABA. In this paper, we labeled the cholinergic cells with DAPI, then incubated the retina in [3H]-muscimol, a neuronal marker for GABA. Subsequently, we converted the DAPI fluorescence of the displaced cholinergic matrix to an opaque product by photooxidation in the presence of DAB. Autoradiography showed that all of the displaced cholinergic amacrine cells were labeled with ]3H]-muscimol, thus confirming the immunocytochemical results. The cholinergic cells account for approximately 80% of the cells in the ganglion cell layer which take up ]3H]-muscimol.

The glycinergic system in goldfish retina was studied by immunocytochemical localization of glycine antiserum at the light-microscopical level. Numerous amacrine cells, a type of interplexiform cell, interstitial cell, and displaced amacrine cell were glycine-immunoreactive (IR). Amacrine cells, accounting for 97% of the glycine-IR neurons, were of four types based solely on their level of dendritic stratification: stratified amacrine cells of the first, third, and fifth sublayers and bistratified amacrine cells of the first and fifth sublayers. Double-labeling experiments were carried out to determine possible co-localization of glycine-IR with GABA-IR, serotonin-IR, substance P-IR and somatostatin-IR. No evidence for co-localization of glycine-IR with these other transmitter substances was found, despite reports of co-localization of these substances in retinas of other species. Glycinergic neurons in goldfish retina appear to consist of a heterogeneous population of at least seven morphologically distinct subtypes that are also neurochemically distinct in regard to GABA, serotonin, substance P, and somatostatin. Since dendritic stratification in the inner plexiform layer is correlated with ON-, OFF-response types, we suggest that the subtypes of glycine-IR amacrine cells play different roles in the encoding of visual information.

The gap junction (GJ) is an aggregate of intercellular channels that facilitates cytoplasmic interchange of ions, second messengers, and other molecules of less than 1000 Da between cells. In excitable organs such as heart and brain, GJs configure extended intercellular pathways for stable and long-term propagation of action potential. In a previous study in adult rat heart, we have shown that the Drosophila disks-large related protein ZO-1 shows low to moderate colocalization at myocyte borders with the GJ protein Cx43. In the present study, we detail a protocol for characterizing the pattern and level of colocalization of ZO-1 with Cx43 in cultures of neonatal myocytes at the level of individual GJ plaques. The data indicate that ZO-1 shows on average a partial 26.6% overlap (SD = 11.3%) with Cx43 GJ plaques. There is a strong positive correlation between GJ plaque size and area of ZO-1 colocalization, indicating that the level of associated ZO-1 scales with the area of the GJ plaque. Qualitatively, the most prominent colocalization occurs at the plaque perimeter. These studies may provide insight into the presently unknown biological function of ZO-1 interaction with Cx43.

Subcellular localization signals for several mRNAs are positioned in their 3′ untranslated regions (UTR). We have utilized the human α- and β-actin 3′ UTRs as signals for colocalizing hammerhead ribozymes with a lacZ target mRNA. Ribozyme and target genes containing matched or unmatched 3′ UTRs were cotransfected into 12-day-old chicken embryonic myoblast and fibroblast (CEMF) cultures and assayed by in situ hybridization (ISH) using a dual label, antibody sandwich procedure, and dual fluorescence microscopy to monitor intracellular colocalization. β-galactosidase localization in transfectants was visualized by incubation with X-gal and also quantitated by an o-nitrophenyl β-D-galactopyranoside (ONPG) assay. We found that the percentage of colocalization using the matched α- or β-actin 3′ UTR (α–α or β–β) was enhanced approximately threefold relative to unmatched 3′ UTRs. The increase in ribozyme-mediated inhibition of β-galactosidase activity observed when matched 3′ UTRs were used was consistent with the observed percentage of colocalization. These results represent the first direct demonstration that mRNA localization signals (zipcodes) can be utilized to enhance intracellular ribozyme efficacy.