Probing adsorbent heterogeneity using Toth isotherms

Most of the adsorbents are heterogeneous and can be characterised using a binding affinity distribution function.

On the genus Habrobathynella Schminke, 1973 (Crustacea, Malacostraca, Bathynellacea), with description of three new species from India

The genus Habrobathynella Schminke, 1973 contains 16 species, 2 from Madagascar and 14 from the peninsular India. This is a remarkably species-rich genus when compared to the three other genera of the family Parabathynellidae known from India: Atopobathynella Schminke, 1973 (5 spp.), Chilibathynella Noodt, 1964 (1 sp.), and Parvulobathynella Schminke, 1973 (3 spp.). This paper provides a monographic treatment of Habrobathynella together with a detailed illustrated account of three new cavernicolous species, viz. Habrobathynella bose n. sp., Habrobathynella ernstmayr n. sp. and Habrobathynella raman n. sp., from the States of Andhra Pradesh and Telangana, India. For each of the already described species, the following details are provided: reference to original description, diagnosis, type data, type locality, distribution, ecology, co-occurrence with other species and remarks on taxonomic affinity. Distribution maps and a dichotomous key for identification of all species in Habrobathynella are provided. We also include a brief note on the biogeography and conservation status of the Indian bathynellaceans.

Rules of RNA specificity of hnRNP A1 revealed by global and quantitative analysis of its affinity distribution

Heterogeneous nuclear ribonucleoprotein A1 (hnRNP A1) is a multipurpose RNA-binding protein (RBP) involved in normal and pathological RNA metabolism. Transcriptome-wide mapping and in vitro evolution identify consensus hnRNP A1 binding motifs; however, such data do not reveal how surrounding RNA sequence and structural context modulate affinity. We determined the affinity of hnRNP A1 for all possible sequence variants (n = 16,384) of the HIV exon splicing silencer 3 (ESS3) 7-nt apical loop. Analysis of the affinity distribution identifies the optimal motif 5′-YAG-3′ and shows how its copy number, position in the loop, and loop structure modulate affinity. For a subset of ESS3 variants, we show that specificity is determined by association rate constants and that variants lacking the minimal sequence motif bind competitively with consensus RNA. Thus, the results reveal general rules of specificity of hnRNP A1 and provide a quantitative framework for understanding how it discriminates between alternative competing RNA ligands in vivo.