Analysis of Functional Dynamics of Modular Multidomain Proteins by SAXS and NMR

Abstract Background With advancements in omics technologies, the range of biological processes where long non-coding RNAs (lncRNAs) are involved, is expanding extensively, thereby generating the need to develop lncRNA annotation resources. Although, there are a plethora of resources for annotating genes, despite the extensive corpus of lncRNA literature, the available resources with lncRNA ontology annotations are rare. Results We present a lncRNA annotation extractor and repository (Lantern), developed using PubMed’s abstract retrieval engine and NCBO’s recommender annotation system. Lantern’s annotations were benchmarked against lncRNAdb’s manually curated free text. Benchmarking analysis suggested that Lantern has a recall of 0.62 against lncRNAdb for 182 lncRNAs and precision of 0.8. Additionally, we also annotated lncRNAs with multiple omics annotations, including predicted cis-regulatory TFs, interactions with RBPs, tissue-specific expression profiles, protein co-expression networks, coding potential, sub-cellular localization, and SNPs for ~ 11,000 lncRNAs in the human genome, providing a one-stop dynamic visualization platform. Conclusions Lantern integrates a novel, accurate semi-automatic ontology annotation engine derived annotations combined with a variety of multi-omics annotations for lncRNAs, to provide a central web resource for dissecting the functional dynamics of long non-coding RNAs and to facilitate future hypothesis-driven experiments. The annotation pipeline and a web resource with current annotations for human lncRNAs are freely available on sysbio.lab.iupui.edu/lantern.

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Correlation of membrane protein conformational and functional dynamics

Nature Communications ◽

10.1038/s41467-021-24660-1 ◽

2021 ◽

Vol 12 (1) ◽

Author(s):

Raghavendar Reddy Sanganna Gari ◽

Joel José Montalvo‐Acosta ◽

George R. Heath ◽

Yining Jiang ◽

Xiaolong Gao ◽

...

Keyword(s):

Membrane Protein ◽

Conformational Changes ◽

Single Channel ◽

Conformational Dynamics ◽

Md Simulations ◽

High Temporal Resolution ◽

Dependent Manner ◽

Functional Dynamics ◽

Ph Dependent ◽

Open States

AbstractConformational changes in ion channels lead to gating of an ion-conductive pore. Ion flux has been measured with high temporal resolution by single-channel electrophysiology for decades. However, correlation between functional and conformational dynamics remained difficult, lacking experimental techniques to monitor sub-millisecond conformational changes. Here, we use the outer membrane protein G (OmpG) as a model system where loop-6 opens and closes the β-barrel pore like a lid in a pH-dependent manner. Functionally, single-channel electrophysiology shows that while closed states are favored at acidic pH and open states are favored at physiological pH, both states coexist and rapidly interchange in all conditions. Using HS-AFM height spectroscopy (HS-AFM-HS), we monitor sub-millisecond loop-6 conformational dynamics, and compare them to the functional dynamics from single-channel recordings, while MD simulations provide atomistic details and energy landscapes of the pH-dependent loop-6 fluctuations. HS-AFM-HS offers new opportunities to analyze conformational dynamics at timescales of domain and loop fluctuations.

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Abnormal Membrane Fluidity as a Cause of Impaired Functional Dynamics of Chemoattractant Receptors on Neonatal Polymorphonuclear Leukocytes: Lack of Modulation of the Receptors by a Membrane Fluidizer

Pediatric Research ◽

10.1203/00006450-198810000-00005 ◽

1988 ◽

Vol 24 (4) ◽

pp. 442-446 ◽

Cited By ~ 14

Author(s):

Kozo Yasui ◽

Midori Masuda ◽

Takafumi Matsuoka ◽

Munehiro Yamazaki ◽

Atsushi Komiyama ◽

...

Keyword(s):

Membrane Fluidity ◽

Polymorphonuclear Leukocytes ◽

Functional Dynamics

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Exon Shuffling Played a Decisive Role in the Evolution of the Genetic Toolkit for the Multicellular Body Plan of Metazoa

Genes ◽

10.3390/genes12030382 ◽

2021 ◽

Vol 12 (3) ◽

pp. 382

Author(s):

Laszlo Patthy

Keyword(s):

Transcription Factor ◽

Decisive Role ◽

Cell Types ◽

Body Plan ◽

Exon Shuffling ◽

Body Parts ◽

Multidomain Proteins ◽

Cellular Phenotypes ◽

Cell Matrix Interactions ◽

Genetic Toolkit

Division of labor and establishment of the spatial pattern of different cell types of multicellular organisms require cell type-specific transcription factor modules that control cellular phenotypes and proteins that mediate the interactions of cells with other cells. Recent studies indicate that, although constituent protein domains of numerous components of the genetic toolkit of the multicellular body plan of Metazoa were present in the unicellular ancestor of animals, the repertoire of multidomain proteins that are indispensable for the arrangement of distinct body parts in a reproducible manner evolved only in Metazoa. We have shown that the majority of the multidomain proteins involved in cell–cell and cell–matrix interactions of Metazoa have been assembled by exon shuffling, but there is no evidence for a similar role of exon shuffling in the evolution of proteins of metazoan transcription factor modules. A possible explanation for this difference in the intracellular and intercellular toolkits is that evolution of the transcription factor modules preceded the burst of exon shuffling that led to the creation of the proteins controlling spatial patterning in Metazoa. This explanation is in harmony with the temporal-to-spatial transition hypothesis of multicellularity that proposes that cell differentiation may have predated spatial segregation of cell types in animal ancestors.

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BREC: an R package/Shiny app for automatically identifying heterochromatin boundaries and estimating local recombination rates along chromosomes

BMC Bioinformatics ◽

10.1186/s12859-021-04233-1 ◽

2021 ◽

Vol 22 (S6) ◽

Author(s):

Yasmine Mansour ◽

Annie Chateau ◽

Anna-Sophie Fiston-Lavier

Keyword(s):

Data Quality ◽

Data Science ◽

Fruit Fly ◽

R Package ◽

Model Organisms ◽

Data Quality Control ◽

Recombination Rates ◽

Functional Dynamics ◽

Shiny App ◽

User Friendly

Abstract Background Meiotic recombination is a vital biological process playing an essential role in genome's structural and functional dynamics. Genomes exhibit highly various recombination profiles along chromosomes associated with several chromatin states. However, eu-heterochromatin boundaries are not available nor easily provided for non-model organisms, especially for newly sequenced ones. Hence, we miss accurate local recombination rates necessary to address evolutionary questions. Results Here, we propose an automated computational tool, based on the Marey maps method, allowing to identify heterochromatin boundaries along chromosomes and estimating local recombination rates. Our method, called BREC (heterochromatin Boundaries and RECombination rate estimates) is non-genome-specific, running even on non-model genomes as long as genetic and physical maps are available. BREC is based on pure statistics and is data-driven, implying that good input data quality remains a strong requirement. Therefore, a data pre-processing module (data quality control and cleaning) is provided. Experiments show that BREC handles different markers' density and distribution issues. Conclusions BREC's heterochromatin boundaries have been validated with cytological equivalents experimentally generated on the fruit fly Drosophila melanogaster genome, for which BREC returns congruent corresponding values. Also, BREC's recombination rates have been compared with previously reported estimates. Based on the promising results, we believe our tool has the potential to help bring data science into the service of genome biology and evolution. We introduce BREC within an R-package and a Shiny web-based user-friendly application yielding a fast, easy-to-use, and broadly accessible resource. The BREC R-package is available at the GitHub repository https://github.com/GenomeStructureOrganization.

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