Dissonant Ties in Intraorganizational Networks: Why Individuals Seek Problem-Solving Assistance from Difficult Colleagues

This paper investigates employees seeking problem-solving assistance from colleagues with whom they find it difficult to work. In so doing, the paper introduces the construct of “dissonant ties”: network ties to colleagues that are simultaneously positive and negative. The study builds on the assumption that individuals in knowledge-intensive workplaces employ dissonant ties to access distinct work-related benefits, and establishes a link between dissonant ties and performance. Subsequently, it provides an in-depth analysis of employees’ willingness to rely on this potentially unpleasant but instrumental networking behavior, and suggests that formal hierarchical rank, tenure, and unit membership, as critical elements of the organizational architecture, drive dissonant tie formation. In the empirical analysis, the study utilizes survey and interview data collected from engineers in a large manufacturing firm. The findings confirm that seeking problem-solving assistance from difficult colleagues entails performance benefits. Moreover, the embeddedness of individuals in the organizational architecture shapes the employment of dissonant ties. Dissonant ties are, hence, context driven. By simultaneously addressing the consequences and the drivers of employees’ networking behavior, the study presents a comprehensive theory of dissonant ties that challenges and refines previous research on the interplay between positive and negative networks

The exon junction complex is required for definition and excision of neighboring introns in Drosophila

Splicing of pre-mRNAs results in the deposition of the exon junction complex (EJC) upstream of exon-exon boundaries. The EJC plays crucial post-splicing roles in export, translation, localization, and nonsense-mediated decay of mRNAs. It also aids faithful splicing of pre-mRNAs containing large introns, albeit via an unknown mechanism. Here, we show that the core EJC plus the accessory factors RnpS1 and Acinus aid in definition and efficient splicing of neighboring introns. This requires prior deposition of the EJC in close proximity to either an upstream or downstream splicing event. If present in isolation, EJC-dependent introns are splicing-defective also in wild-type cells. Interestingly, the most affected intron belongs to the piwi locus, which explains the reported transposon desilencing in EJC-depleted Drosophila ovaries. Based on a transcriptome-wide analysis, we propose that the dependency of splicing on the EJC is exploited as a means to control the temporal order of splicing events

Analysis of large-scale sequencing of small RNAs

The advent of large-scale sequencing has opened up new areas of research, such as the study of Piwi-interacting small RNAs (piRNAs). piRNAs are longer than miRNAs, close to 30 nucleotides in length, involved in various functions, such as the suppression of transposons in germline. Since a large number of them (many tens of thousands) are generated from a wide range of positions in the genome, large-scale sequencing is the only way to study them. The key to understanding their genesis and biological roles is efficient analysis, which is complicated by the large volumes of sequence data. Taking account of the underlying biology is also important. We describe here novel analyses techniques and tools applied to small RNAs from germ cells in D. melanogaster, that allowed us to infer mechanism and biological function

The firm’s knowledge network and the transfer of advice among corporate inventors—A multilevel network study

Knowledge networks consisting of links between knowledge elements and social networks composed of interactions between inventors both play a critical role for innovation. Taking a multilevel network approach, this study integrates research on the two types of networks and investigates how the knowledge network of a firm influences work-related interactions among its inventors. To this end, we associate inventors with specific knowledge elements in the firm’s knowledge network and examine how this association affects the inventors’ popularity and activity in a work-related advice network. Empirically, we combine survey data on 135 inventors working in a German high-tech firm with information derived from the firm’s 1031 patents. Results from multilevel exponential random graph models (ERGM) show that different dimensions of knowledge derived from the firm’s knowledge network shape the transfer of advice among inventors in unique ways. Thus, our study demonstrates how structural features of the firm’s knowledge stock influence interpersonal interactions among its inventors thereby affecting the intra-organizational diffusion of knowledge and the recombinant possibilities of the firm

Anion Effects on Gas Solubility in Ionic Liquids

This work presents the results of solubility measurements for a series of gases in 1-n-butyl-3-methyl imidazolium tetrafluoroborate and 1-n-butyl-3-methyl imidazolium bis(trifluoromethylsulfonyl) imide. The gases considered include benzene, carbon dioxide, nitrous oxide, ethylene, ethane, oxygen, and carbon monoxide. Carbon dioxide and oxygen solubilities are also reported in methyl-tributylammonium bis(trifluoromethylsulfonyl) imide, butyl-methyl pyrrolidinium bis(trifluoromethylsulfonyl) imide, and tri-isobutyl-methyl phosphonium p-toluenesulfonate. We report the associated Henry's constants and enthalpies and entropies of absorption. In general, benzene, followed by carbon dioxide and nitrous oxide, have the highest solubilities and strongest interactions with the ionic liquids, followed by ethylene and ethane. Oxygen had very low solubilities and weak interactions. Carbon monoxide had a solubility below the detection limit of our apparatus. Ionic liquids with the bis(trifluoromethylsulfonyl) imide anion had the largest affinity for CO_2, regardless of whether the cation was imidazolium, pyrrolidinium, or tetraalkylammonium. These results suggest that the nature of the anion has the most significant influence on the gas solubilities

Processing of Drosophila endo-siRNAs depends on a specific Loquacious isoform

Drosophila melanogaster expresses three classes of small RNAs, which are classified according to their mechanisms of biogenesis. MicroRNAs are ∼22-23 nucleotides (nt), ubiquitously expressed small RNAs that are sequentially processed from hairpin-like precursors by Drosha/Pasha and Dcr-1/Loquacious complexes. MicroRNAs usually associate with AGO1 and regulate the expression of protein-coding genes. Piwi-interacting RNAs (piRNAs) of ∼24-28 nt associate with Piwi-family proteins and can arise from single-stranded precursors. piRNAs function in transposon silencing and are mainly restricted to gonadal tissues. Endo-siRNAs are found in both germline and somatic tissues. These ∼21-nt RNAs are produced by a distinct Dicer, Dcr-2, and do not depend on Drosha/Pasha complexes. They predominantly bind to AGO2 and target both mobile elements and protein-coding genes. Surprisingly, a subset of endo-siRNAs strongly depend for their production on the dsRNA-binding protein Loquacious (Loqs), thought generally to be a partner for Dcr-1 and a cofactor for miRNA biogenesis. Endo-siRNA production depends on a specific Loqs isoform, Loqs-PD, which is distinct from the one, Loqs-PB, required for the production of microRNAs. Paralleling their roles in the biogenesis of distinct small RNA classes, Loqs-PD and Loqs-PB bind to different Dicer proteins, with Dcr-1/Loqs-PB complexes and Dcr-2/Loqs-PD complexes driving microRNA and endo-siRNA biogenesis, respectively. Copyright © 2009 RNA Society