514 publications from this institution
No abstract is provided for this article.
No abstract is provided for this article.
This chapter reviews the characteristics of mitochondrial targeting peptides (mTPs) defined by statistical and experimental studies and discusses their use for predicting the presence of mTPs in protein sequences. Most methods for mTP prediction focus on the amino terminus of possible mitochondrial proteins. However, other portions of proteins also contribute to the import process. It is determined that C-terminal features of the small subunit of Rubisco modulate import of its precursor into chloroplasts. Some experimental evidences are provided for the existence of a cotranslational pathway for protein import into mitochondria. It has been demonstrated that the mTP is involved in the regulation of ribosome binding to the mitochondrial outer membrane. This import pathway may require additional, hitherto unknown mTP features. Thus, improved mTP prediction tools may have to account for features of the mature protein, rather than focusing only on the N-terminal parts of the precursor.
We have analyzed the amino acid distribution in seven nuclearly encoded and five mitochondrially encoded inner membrane proteins with experimentally well characterized topologies. The mitochondrially encoded proteins conform to the ‘positive inside’ rule, i.e. they have many more positively charged residues in their non‐translocated as compared to translocated domains. However, most of the nuclearly encoded proteins do not show such a bias but instead have a surprisingly skewed distribution of Glu residues with an almost ten times higher frequency in the intermembrane space than in the matrix domains. These findings suggest that some, but possibly not all, nuclearly encoded inner membrane proteins may insert into the membrane by a mechanism that does not depend on the distribution of positively charged amino acids.
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A number of signal sequences, prokaryotic as well as eukaryotic, have been analyzed in terms of gross amino acid composition and hydrophobicity. It is shown that the amino acid composition of the hydrophobic core can be well reproduced in a computer simulation of signal sequence 'evolution' with selection operating on the mean hydrophobicity of the sequence and the non-occurrence of charged residues. The calculated hydrophobicities are interpreted in terms of a model in which the hydrophobic part of the signal sequence partitions directly into the membrane interior, thereby making further translocation of the growing nascent chain possible.
No abstract is provided for this article.
This folder contains the raw data that was used for quantifications (and the quantifications in an Excel sheet). The raw data (.txt files called EasyQuant files) was extracted from autoradiographs of SDS-PAGE gels using the ImageGauge software from Fuji (associated with the Fuji gel scanner). This machine has since been discontinued (these data were collected 2014-2016). The .txt files were imported into EasyQuant and fitted to a Gaussian distribution automatically by the software (software developed in the Gunnar von Heijne lab by Dr. Rickard Hedman), and the Ffl (fraction full length) was calculated.
This chapter discusses the hydrophobicity concept and the various hydrophobicity scales that circulate in the literature. It deals with signal sequences and transmembrane segments, thus preparing the ground for a discussion of global models of protein export and membrane protein biogenesis. The concept of a hydrophobic effect, a tendency for nonpolar molecules or parts of molecules in aqueous solution to aggregate to reduce the nonpolar surface area exposed to water, has an immediate intuitive appeal, and it has been a central idea in many attempts to come to grips with the thermodynamics of protein structure. As most of the hydrophobicity scales in the literature agree in broad terms (be they empirical or statistical), most scales will yield similar results in any particular application. The central hydrophobic core is the most outstanding signature of a signal sequence. Proteins can bind to membranes in many ways. One useful distinction is between intrinsic and extrinsic membrane proteins, denoting, respectively, proteins spanning the nonpolar hydrocarbon interior of a membrane and proteins only associated with the (inner or outer) surface of the membrane. A number of characteristic features of start and stop signals are discussed in the chapter along with some interpretations of their possible functional relevance.
The Escherichia coli signal recognition particle (SRP) and trigger factor are cytoplasmic factors that interact with short nascent polypeptides of presecretory and membrane proteins produced in a heterologous in vitro translation system. In this study, we use an E. coli in vitro translation system in combination with bifunctional cross‐linking reagents to investigate these interactions in more detail in a homologous environment. Using this approach, the direct interaction of SRP with nascent polypeptides that expose particularly hydrophobic targeting signals is demonstrated, suggesting that inner membrane proteins are the primary physiological substrate of the E. coli SRP. Evidence is presented that the overproduction of proteins that expose hydrophobic polypeptide stretches, titrates SRP. In addition, trigger factor is efficiently cross‐linked to nascent polypeptides of different length and nature, some as short as 57 amino acid residues, indicating that it is positioned near the nascent chain exit site on the E. coli ribosome.