Genomic and epigenomic responses to aspirin in human colonic organoids.

Aspirin (ASA) is a proven chemoprotective agent for colorectal cancer, though mechanisms underlying these effects are incompletely understood. Human organoids are an ideal system to study genomic and epigenomic host-environment interactions. We use human colonic organoids to profile ASA responses on genome-wide gene expression and chromatin accessibility. Human colonic organoids from one individual were cultured and treated in triplicate with 3 mM ASA or vehicle control (DMSO) for 24 h. Gene expression and chromatin accessibility were measured using RNA- and ATAC-sequencing, respectively. Differentially expressed genes were analyzed using DESeq2. Top genes were validated by qPCR. Gene set enrichment was performed by SetRank. Differentially accessible peaks were analyzed using DiffBind and edgeR. Peak annotation and differential transcription factor motifs were determined by HOMER and diffTF. The results showed robust transcriptional responses to ASA with significant enrichment for fatty acid oxidation and peroxisome proliferator-activated receptor (PPAR) signaling that were validated in independent organoid lines. A large number of differentially accessible chromatin regions were found in response to ASA with significant enrichment for Fos, Jun, and Hnf transcription factor motifs. Integrated analysis of epigenomic and genomic treatment responses highlighted gene regions that could mediate ASA's specific effects in the colon including those involved in chemoprotection and/or toxicity. Assessment of chromatin accessibility and transcriptional responses to ASA yielded new observations about genome-wide effects in the colon facilitated by application of human colonic organoids. This framework can be applied to study colonic ASA responses between individuals and populations in future studies.

OrganoID: A versatile deep learning platform for tracking and analysis of single-organoid dynamics.

Organoids have immense potential as ex vivo disease models for drug discovery and personalized drug screening. Dynamic changes in individual organoid morphology, number, and size can indicate important drug responses. However, these metrics are difficult and labor-intensive to obtain for high-throughput image datasets. Here, we present OrganoID, a robust image analysis platform that automatically recognizes, labels, and tracks single organoids, pixel-by-pixel, in brightfield and phase-contrast microscopy experiments. The platform was trained on images of pancreatic cancer organoids and validated on separate images of pancreatic, lung, colon, and adenoid cystic carcinoma organoids, which showed excellent agreement with manual measurements of organoid count (95%) and size (97%) without any parameter adjustments. Single-organoid tracking accuracy remained above 89% over a four-day time-lapse microscopy study. Automated single-organoid morphology analysis of a chemotherapy dose-response experiment identified strong dose effect sizes on organoid circularity, solidity, and eccentricity. OrganoID enables straightforward, detailed, and accurate image analysis to accelerate the use of organoids in high-throughput, data-intensive biomedical applications.

A Sensitive XRF Screening Method for Lead in Drinking Water.

A novel method for quickly and quantitatively measuring aqueous lead in drinking water has been developed. A commercially available activated carbon felt has been found to effectively capture lead from tap water, and partnered with X-ray fluorescence (XRF) spectrometry, it provides quantitative measurement of aqueous lead in drinking water. Specifically, for a 2 L volume of tap water, the linear range of detection was found to be from 1-150 ppb, encompassing the current EPA limit for lead in drinking water (15 ppb). To make a reproducible and easy to use method for filtering, a 2 L bottle cap with a 1.25 cm diameter hole was used for filtering. Utilizing this filtration method, 75 solutions from 0 to 150 ppb lead gave a 91% sensitivity, 97% specificity, and 93% accuracy, and all the misclassified samples fell between 10 and 15 ppb. This method has also proved reliable for detecting calcium as well as several other divalent metals in drinking water including copper, zinc, iron, and manganese.

The C-terminus of ribosomal protein uS4 contributes to small ribosomal subunit biogenesis and the fidelity of translation.

Ribosomal protein uS4 is an essential ribosomal component involved in multiple functions, including mRNA decoding. Structural analyses indicate that during decoding, the interface between the C-terminus of uS4 and protein uS5 is disrupted and in agreement with this, C-terminal uS4 truncation mutants are readily isolated on the basis of their increased miscoding phenotypes. The same mutants can also display defects in small subunit assembly and 16S rRNA processing and some are temperature sensitive for growth. Starting with one such temperature sensitive Escherichia coli uS4 mutant, we have isolated temperature insensitive derivatives carrying additional, intragenic mutations that restore the C-terminus and ameliorate the ribosomal defects. At least one of these suppressors has no detectable ribosome biogenesis phenotype, yet still miscodes, suggesting that the C-terminal requirements for ribosome assembly are less rigid than for mRNA decoding. In contrast to the uS4 C-terminal mutants that increase miscoding, two Salmonella enterica uS4 mutants with altered C-termini have been reported as being error-restrictive. Here, reconstruction experiments demonstrate that contrary to the previous reports, these mutants have a distinct error-prone, increased misreading phenotype, consistent with the behavior of the equivalent E. coli mutants and their likely structural effects on uS4-uS5 interactions.