This dataset was used to overview the taxonomic composition of the gastrointestinal microbiomes during the first two years of life with the intent to better understand the effects of the invasive pathogen, Shigella. Data was collected through a two year longitudinal study of a mother-infant cohort in Malawi, using 16S rRNA amplicon sequencing to characterize the gastrointestinal microbiota. Rectal swab samples were collected every 6 six months during well-child visits or when an infant visiting the clinic presented diarrhea to diagnose Shigella infection. 16S rRNA gene amplicon libraries yielded an average of 23,720 reads per sample with a total of 8,729,027 reads and a total of 325 taxa were identified after quality filtering.

This study aimed to understand the role of eyestalk neuropeptides in vitellogenesis. Molt-inhibiting hormone (MIH) and crustacean hyperglycemic hormone (CHH) cDNA sequences were first isolated from the eyestalk ganglia of C. quinquedens using traditional cloning methods and their expression was quantified in the eyestalk ganglia at various ovarian stages. De novo transcriptome assembly of the eyestalk ganglia was conducted to determine if transcripts of other neuropeptides differ by ovarian stages. Samples were collected from the mid-Atlantic Bight region of the United States off the coast of Virginia up to Massachusetts between 2013 and 2015.

This study introduces a novel application of the MAGMA (Multi-marker Analysis of GenoMic Annotation) software tool that enables testing for associations between enhancer attributes and risk to determine the enhancer characteristics that are associated with risk for schizophrenia. The study uses the RWAS (Regulome Wide Association Study) framework to first collect enhancer annotations in a tissue relevant to the trait of interest, then identifies specific risk-associated enhancers by aggregating the effects of all SNPs (single nucleotide polymorphisms) that overlap the enhancer’s position in the genome, and finally, tests for associations of enhancer features with disease risk using a regression framework.

Extracellular vehicles (EVs) released from bone marrow stromal cells (BMSCs) have been demonstrated to play an important role in their therapeutic actions for various diseases. This study establishes a scalable and reproducible EV manufacturing processes needed to develop successful implementation of EV therapy for patients. Using human BMSCs isolated from nine healthy donors, researchers examined the effects of high-performance culture media that can rapidly expand BMSCs on EV production and quality in comparison with the conventional culture medium.

The involvement of specific medium spiny neuro (MSN) subtype and of other striatal cell types remains poorly understood. To gain insight into cell type-specific disease processes, researchers studied the nuclear transcriptomes of 4524 cells from the striatum of a genetically precise knock-in mouse model of the Huntington's Disease (HD) mutation, HttQ175/1. Three 14-month-old and one 15-month-old male mice were used to generate the primary dataset.

A data set of polymorphic regions of the P. falciparum genome was mined to identify a gametocyte genotyping marker. To assess marker resolution, the number of unique haplotypes in the marker region was estimated from 205 Malawian P. falciparum whole genome sequences. Specificity of the marker for detection of mature gametocytes was evaluated using reverse transcription-polymerase chain reaction of RNA extracted from NF54 mature gametocytes and rings from a non-gametocyte-producing strain of P. falciparum. Amplicon deep sequencing was performed on experimental mixtures of mature gametocytes from two distinct parasite clones, as well as gametocyte-positive P. falciparum field isolates to evaluate the quantitative ability and determine the limit of detection of the genotyping approach.

The dataset contains data pertaining to the examination of draft genomes of 388 methicillin-resistant Staphylococcus aureus isolates obtained from intensive care unit patients at three geographically distributed hospitals. The purpose of the study was to determine genomic diversity associated with potential health care worker-associated transmission. Relevant statistics, including linked GenBank and SRA accession numbers for each genome assembly, are included in Table 1 of the associated publication.

This study aimed to identify the insulin-like androgenic gland factor (IAG) in adult male Jonah crabs as it plays an essential role in sexual maturity. The study also aimed to examine if seasonal changes influence IAG expression in males. The study used the androgenic gland transcriptome to test if eyestalk neuropeptides regulate IAG levels via an endocrine axis between the two endocrine tissues as established in other crustaceans. Understanding the size related-sexual maturity and the seasonal changes in Jonah crab male reproductive activity is critical for sustainable fishery management. The full-length CabIAG sequence is 928 nucleotides long, encoding a 151 amino acid deduced sequence. This gene expression was exclusive in male C. borealis AG. Partial CoDing Sequence (CDS) of cancer borealis Na/K-ATPase alpha subunit mRNA was deposited in the GenBank.

To determine strain-specific driving mechanisms of B. pseudolongum UMB-MBP-01, researchers compared it to porcine tropic strain B. pseudolongum ATCC25526 using cell culture and in vivo experimentation and comparative genomic approaches. The data demonstrates that these two strains possess distinct genetic repertoires in carbohydrate assimilation, differential activation signatures and cytokine responses signatures in innate immune cells, and differential effects on lymph node morphology with unique local and systemic leukocyte distribution.

Researchers used a high-throughput sequencing-based assay to characterize the bacterial composition and diversity of 665 individual field-caught mosquitoes, as well as their species, genotype at an insecticide resistance locus, blood-meal composition, and the eukaryotic parasites and viruses they carry. This data was used to rigorously estimate the individual effect of each parameter on the bacterial diversity as well as the relative contribution of each parameter to the microbial composition.