Purified U7 snRNPs lack the Sm proteins D1 and D2 but contain Lsm10, a new 14 kDa Sm D1-like protein

U7 snRNPs were isolated from HeLa cells by biochemical fractionation, followed by affinity purification with a biotinylated oligonucleotide complementary to U7 snRNA. Purified U7 snRNPs lack the Sm proteins D1 and D2, but contain additional polypeptides of 14, 50 and 70 kDa. Microsequencing identified the 14 kDa polypeptide as a new Sm-like protein related to Sm D1 and D3. Like U7 snRNA, this protein, named Lsm10, is enriched in Cajal bodies of the cell nucleus. Its incorporation into U7 snRNPs is largely dictated by the special Sm binding site of U7 snRNA. This novel type of Sm complex, composed of both conventional Sm proteins and the Sm-like Lsm10, is most likely to be important for U7 snRNP function and subcellular localization.     

Effect of different daytime and night-time temperature regimes on the foliar respiration of Pinus taeda: predicting the effect of variable temperature on acclimation

The objectives of this study were to determine the acclimation of loblolly pine (Pinus taeda L.) foliar respiration to different night-time low temperatures, daytime high temperatures, and daily mean temperatures, and then to use the responses of temperature acclimation to various temperature regimes to predict acclimation under fluctuating temperatures. Experiments were conducted on two-year-old seedlings in growth chambers using different combinations of day and night-time temperatures. The first experiment exposed trees to 22/22, 29/22, 22/15, and 29/15 degrees C day/night (d/n). When measured at a common temperature (15, 22 or 29 degrees C), respiration rates were lower for trees exposed to higher treatment temperatures and acclimation was influenced by both day and night-time temperature. However, the extent of acclimation did not relate to mean temperature, i.e. respiration rates measured at a common temperature ranked as follows for seedlings exposed to different temperature regimes, 22/15>22/22>29/15 congruent with29/22 degrees C d/n. Rather, acclimation of foliar respiration was linearly related to mean daily respiration rate, where mean daily respiration rate is the average of the respiration rates measured at the day and night-time treatment temperatures. The discrepancy between mean daily respiration rate and mean daily temperature occurred because respiration increased exponentially with increasing temperature. In a second experiment, the same seedlings were exposed to 22/22, 15/15, 25.5/18.5, and 25.5/15 degrees C d/n to test the relationship between mean daily respiration rate and acclimation. As in the first experiment, acclimation was linearly related to mean daily respiration rate. The concept of effective acclimation temperature, which is the temperature at which the mean daily respiration rate occurs, was derived from these results as a means to predict the extent that foliar respiration acclimates to treatment temperature.     

The 2012/2013 ABRF Proteomic Research Group Study: Assessing Longitudinal Intralaboratory Variability in Routine Peptide Liquid Chromatography Tandem Mass Spectrometry Analyses*

Questions concerning longitudinal data quality and reproducibility of proteomic laboratories spurred the Protein Research Group of the Association of Biomolecular Resource Facilities (ABRF-PRG) to design a study to systematically assess the reproducibility of proteomic laboratories over an extended period of time. Developed as an open study, initially 64 participants were recruited from the broader mass spectrometry community to analyze provided aliquots of a six bovine protein tryptic digest mixture every month for a period of nine months. Data were uploaded to a central repository, and the operators answered an accompanying survey. Ultimately, 45 laboratories submitted a minimum of eight LC-MSMS raw data files collected in data-dependent acquisition (DDA) mode. No standard operating procedures were enforced; rather the participants were encouraged to analyze the samples according to usual practices in the laboratory. Unlike previous studies, this investigation was not designed to compare laboratories or instrument configuration, but rather to assess the temporal intralaboratory reproducibility. The outcome of the study was reassuring with 80% of the participating laboratories performing analyses at a medium to high level of reproducibility and quality over the 9-month period. For the groups that had one or more outlying experiments, the major contributing factor that correlated to the survey data was the performance of preventative maintenance prior to the LC-MSMS analyses. Thus, the Protein Research Group of the Association of Biomolecular Resource Facilities recommends that laboratories closely scrutinize the quality control data following such events. Additionally, improved quality control recording is imperative. This longitudinal study provides evidence that mass spectrometry-based proteomics is reproducible. When quality control measures are strictly adhered to, such reproducibility is comparable among many disparate groups. Data from the study are available via ProteomeXchange under the accession code PXD002114.The broad-reaching use and application of mass spectrometry-based proteomics in the international research community continues to exponentially grow and expand. As the technology has developed and practitioners have become skilled in performing complex workflows, the community has not only gained interest in assessing data across laboratories but also in maintaining consistent quality control within a laboratory. Koecher et al. raised the issue of quality control measures and how this aspect of mass spectrometry-based proteomics is generally neglected in scientific publications (1). Fortunately, studies characterizing the stability of liquid chromatography-tandem MS (LC-MSMS)¹ quality control performance among numerous laboratories are emerging. The relationship between sample preparation schemes, data acquisition and reduction strategies, and bioinformatic analyses have been comprehensively reviewed by Tabb (2).Several studies exist where intra- and interlaboratory reproducibility between multiple sites has been assessed under different settings. Perhaps the most systematic and detailed of these investigations are from the Human Proteome Organization (HuPO) test sample working group (3); the National Cancer Institute Clinical Proteomic Tumor Analysis Consortium (NCI CPTAC) (4); and the ProteoRed Consortium (5, 6). The HuPO group utilized an equimolar mixture of 20 highly purified recombinant human proteins (5 pmol per protein) distributed to 27 different laboratories and analyzed without constraint according to optimized LCMS and database search protocols from each of the laboratories (3). The study was not an assessment of instrument performance for highly sensitive detection of proteins, as all participating laboratories had acquired raw data of sufficient quality to identify all 20 proteins (and a specific subset of tryptic peptides). The study revealed, however, that discrepancies in peptide identification and protein assignment were the result of differences in data analysis strategies rather than data collection.The NCI CPTAC group used a standardized Saccharomyces cerevisiae proteome digest that was analyzed on ion-trap-based LCMS platforms in five independent laboratories according to both an established standard operating procedure (SOP) and with no SOP constraint (4). All data analysis was centralized, and thus, any observed variations were entirely because of the LCMS platform. By applying the performance metrics developed by Rudnick et al. (7), several key points emerged: (1) as expected, intralaboratory variation was less than interlaboratory variation; and (2) overall, the interlaboratory variation in peptide identifications and some of the other performance metrics were comparable between instruments, although there were large differences in the average values for some metrics (e.g. MS1 signal intensity, dynamic sampling).The ProteoRed Consortium initiated the ProteoRed Multicenter Experiment for Quality Control (PMEQC) (5, 6). This longitudinal QC multicenter study involved 12 institutes, and was designed to assess: (1) intralaboratory repeatability of LC-MSMS proteomic data; (2) interlaboratory reproducibility; and (3) reproducibility across multiple instrument platforms. Participants received samples of undigested or tryptically digested yeast proteins and were requested to follow strict analytical guidelines. Data analysis was centralized and performed under standard procedures using a common workflow. The study revealed that the overall performance with respect to metrics such as reproducibility, sensitivity, dynamic range etc. was directly related to the degree of operator expertise, and less dependent on instrumentation.Several studies not specifically focused on quality control have also yielded insight into proteomic reproducibility. The HuPO plasma proteome project (HuPO PPP) distributed 20 human samples (five serum plus 3 × 5 plasma samples treated with three different anticoagulants) to 35 laboratories spanning 13 countries (8). The purpose of this large-scale study was not to assess reproducibility per se, but rather to generate the largest and most comprehensive data set on the protein composition of human plasma/serum. On a smaller scale, the ISB standard 18 protein mixture (purified proteins from cow, horse, rabbit, chicken, E. coli, and B. licheniformus) was also assessed between laboratories on eight different LCMS platforms (9). These data reside in a comprehensive, multiplatform database as a resource for the proteomic community. Additional interlaboratory assessments have consisted of multiple reaction monitoring-based measurements of peptides/proteins in plasma (10, 11) and protein–protein interactions at both the biochemical and proteomic level (12).For team leaders/directors of proteomic laboratories and any researcher collaborating with such groups, major questions that may arise concerning data consistency are: how well are quality controls being implemented in the daily operations? Do the quality control measures effectively support data reproducibility? To address this, the Protein Research Group of the Association of Biomolecular Resource Facilities (ABRF-PRG) designed a study whereby LC-MSMS data obtained from the analysis of a commercially available bovine protein mixture predigested with trypsin were collected at routine intervals over a period of 9 months. Raw MS data files from a total of 64 participating laboratories were accumulated, and HPLC and MS performance were evaluated through QC metrics (13). The main impetus of the study was to recognize key sources of variability in HPLC and MS analyses under extended and routine operating conditions for each laboratory and to catalog the state of quality control in a diverse set of proteomic laboratories.No standard operating protocol was imposed on the participants; instead, contributors were encouraged to employ the methods that were typically applied in individual laboratories. Optimization of instrument methods on the provided sample was discouraged. A survey was conducted with each sample submission to catalog individual laboratory practices, instrument configurations, acquisition settings, including routine and nonroutine maintenance procedures. Unlike previous investigations where emphasis was placed on the preparation, distribution, and evaluation of protein standards to appraise and/or standardize LCMS platforms between laboratories, the key interest in this study was purely to determine the intralaboratory performance, reproducibility, and consistency of participating laboratories over an extended period of time.The rapidly expanding number of proteomic laboratories have incorporated divergent HPLC systems, mass spectrometers, solvent systems, columns etc. As a result, analyzing data from a large number of laboratories necessitates tools that can accommodate data from a broad range of platforms. For example, to expect a small laboratory with a decade-old three-dimensional ion trap mass spectrometer to achieve the same sensitivity as a laboratory with a high-resolution hybrid instrument would be unfair. Correspondingly, the data analysis needs to include axes beyond simple peptide-level sensitivity. Nevertheless, the laboratory with the older instrumentation may be consistently better at maximizing performance from the chosen instrument platform compared with a laboratory with the latest high-end equipment.The focus of this study was to estimate the degree of variability in intralaboratory performance over a 9-month period. This goal was achieved using quality metrics that are applicable to most LC-MSMS workflows. The inclusion of data from many laboratories will enable the proteomic community to determine the current state of quality control within a typical laboratory. The survey data enabled the mapping of some alterations in instrument performance to documented laboratory events, e.g. mass spectrometer calibration. The study was designed neither to compare one laboratory with another, nor to discriminate between classes of instrumentation.Questions of data quality and performance in the proteomic community are appropriately aligned with the heightened awareness of a perceived lack of reproducibility of scientific findings in general (1). This community has endeavored to provide tools to assess proteomic data quality, and this study provides additional insight into the application of such tools and the quality of data within respective laboratories.     

Retained in HIV Care But Not on Antiretroviral Treatment: A Qualitative Patient-Provider Dyadic Study

Background

Patients retained in HIV care but not on antiretroviral therapy (ART) represent an important part of the HIV care cascade in the United States. Even in an era of more tolerable and efficacious ART, decision making in regards to ART offer and uptake remains complex and calls for exploration of both patient and provider perspectives. We sought to understand reasons for lack of ART usage in patients meeting the Health Resources Services Administration definition of retention as well as what motivated HIV primary care appointment attendance in the absence of ART.

Methods and Findings

We conducted a qualitative study consisting of 70 in-depth interviews with ART-naïve and ART-experienced patients off ART and their primary care providers in two urban safety-net HIV clinics in San Francisco and New York. Twenty patients and their providers were interviewed separately at baseline, and 15 dyads were interviewed again after at least 3 mo and another clinic visit in order to understand any ART use in the interim. We applied dyadic analysis to our data. Nearly all patients were willing to consider ART, and 40% of the sample went on ART, citing education on newer antiretroviral drugs, acceptance of HIV diagnosis, social support, and increased confidence in their ability to adhere as facilitators. However, the strength of the provider recommendation of ART played an important role. Many patients had internalized messages from providers that their health was too good to warrant ART. In addition, providers, while demonstrating patient-centered care through sensitivity to patients experiencing psychosocial instability, frequently muted the offer of ART, at times unintentionally. In the absence of ART, lab monitoring, provider relationships, access to social services, opiate pain medications, and acute symptoms motivated care. The main limitations of this study were that treatment as prevention was not explored in depth and that participants were recruited from academic HIV clinics in the US, making the findings most generalizable to this setting.

Conclusions

Provider communication with regard to ART is a key focus for further exploration and intervention in order to increase ART uptake for those retained in HIV care.     

Post-Prandial Protein Handling: You Are What You Just Ate

Background

Protein turnover in skeletal muscle tissue is highly responsive to nutrient intake in healthy adults.

Objective

To provide a comprehensive overview of post-prandial protein handling, ranging from dietary protein digestion and amino acid absorption, the uptake of dietary protein derived amino acids over the leg, the post-prandial stimulation of muscle protein synthesis rates, to the incorporation of dietary protein derived amino acids in de novo muscle protein.

Design

12 healthy young males ingested 20 g intrinsically [1-¹³C]-phenylalanine labeled protein. In addition, primed continuous L-[ring-²H₅]-phenylalanine, L-[ring-²H₂]-tyrosine, and L-[1-¹³C]-leucine infusions were applied, with frequent collection of arterial and venous blood samples, and muscle biopsies throughout a 5 h post-prandial period. Dietary protein digestion, amino acid absorption, splanchnic amino acid extraction, amino acid uptake over the leg, and subsequent muscle protein synthesis were measured within a single in vivo human experiment.

Results

55.3±2.7% of the protein-derived phenylalanine was released in the circulation during the 5 h post-prandial period. The post-prandial rise in plasma essential amino acid availability improved leg muscle protein balance (from -291±72 to 103±66 μM·min^-1·100 mL leg volume^-1; P<0.001). Muscle protein synthesis rates increased significantly following protein ingestion (0.029±0.002 vs 0.044±0.004%·h^-1 based upon the muscle protein bound L-[ring-²H₅]-phenylalanine enrichments (P<0.01)), with substantial incorporation of dietary protein derived L-[1-¹³C]-phenylalanine into de novo muscle protein (from 0 to 0.0201±0.0025 MPE).

Conclusion

Ingestion of a single meal-like amount of protein allows ~55% of the protein derived amino acids to become available in the circulation, thereby improving whole-body and leg protein balance. About 20% of the dietary protein derived amino acids released in the circulation are taken up in skeletal muscle tissue following protein ingestion, thereby stimulating muscle protein synthesis rates and providing precursors for de novo muscle protein synthesis.

Trial Registration

trialregister.nl 3638     

Documenting Differences between Early Stone Age Flake Production Systems: An Experimental Model and Archaeological Verification

This study investigates morphological differences between flakes produced via “core and flake” technologies and those resulting from bifacial shaping strategies. We investigate systematic variation between two technological groups of flakes using experimentally produced assemblages, and then apply the experimental model to the Cutting 10 Mid -Pleistocene archaeological collection from Elandsfontein, South Africa. We argue that a specific set of independent variables—and their interactions—including external platform angle, platform depth, measures of thickness variance and flake curvature should distinguish between these two technological groups. The role of these variables in technological group separation was further investigated using the Generalized Linear Model as well as Linear Discriminant Analysis. The Discriminant model was used to classify archaeological flakes from the Cutting 10 locality in terms of their probability of association, within either experimentally developed technological group. The results indicate that the selected independent variables play a central role in separating core and flake from bifacial technologies. Thickness evenness and curvature had the greatest effect sizes in both the Generalized Linear and Discriminant models. Interestingly the interaction between thickness evenness and platform depth was significant and played an important role in influencing technological group membership. The identified interaction emphasizes the complexity in attempting to distinguish flake production strategies based on flake morphological attributes. The results of the discriminant function analysis demonstrate that the majority of flakes at the Cutting 10 locality were not associated with the production of the numerous Large Cutting Tools found at the site, which corresponds with previous suggestions regarding technological behaviors reflected in this assemblage.