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Claribel Szwaja

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Aug 4, 2024, 8:34:39 PM8/4/24
to florinreli
Anyonehaving the problem with getting the advanced logging not enabled when it was? This is the 2nd raid in a row this is happening with. Deleted cache, relogged,Not sure why this is happening. Any help ideas appreciated.

ERROR:

Error: Line 1 - This log was created without Advanced Combat Logging enabled, and is not supported on Warcraft Logs. You can enable Advanced Combat Logging from the Network pane of System preferences in-game. Delete your log file before enabling Advanced Logging, or this uploader will continue to refuse the file.


Removal of ribosomal RNAs, a major constituent (over 90%) of cellular RNA is a critical experimental step for transcriptomic studies that deal with messenger RNAs. In this manuscript, we describe a robust method to subtract ribosomal RNA from various RNA samples. The method is based on the enzymatic degradation of target RNA by short complementary DNA and RNA:DNA duplex specific nuclease. The method comprises carefully designed experimental procedures to minimize experimental bias and unwanted removal of messenger RNAs. We validate the method on various types of transcriptomic studies for seven diverse bacterial species. This method successfully removed ribosomal RNA with over 99% of efficiency and it was comparable to commercial systems even for degraded RNA samples at a fraction of a cost.


Copyright: 2021 Choe et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.


Data Availability: The authors confirm that all data underlying the findings are fully available without restriction. Code for probe design can be accessed at _Design. The sequencing data generated in this study have been submitted to the EMBL Nucleotide Archive (ENA) and BioProject/SRA under accession number of PRJEB42756. Numerical data for all of the graphs is provided in Tables 1, 2, and S7 Table.


Genetic information encoded in the genome is transferred to proteins via messenger RNAs (mRNAs). Thus, investigating mRNAs is a central approach to elucidating the fundamentals of cellular functions. Multiple techniques such as quantitative polymerase chain reaction (qPCR), microarray, and RNA sequencing (RNA-Seq) have been developed to quantitatively measure mRNAs inside a cell or their changes in response to a variety of environmental and genetic perturbations [1,2]. Since ribosomal RNAs (rRNAs) comprise more than 90% of the total RNA in a cell, their efficient removal is one of the most important tasks for reliable genome-wide transcriptomics studies [3]. Unlike eukaryotic mRNAs that can be selectively enriched by virtue of their poly A tail structure [4], bacterial and archaeal mRNAs do not, or rarely, possess such features; thus, removal of the predominant rRNA species from total RNA is critical for downstream applications.


Selective digestion of rRNAs using RNase H depends on hybridization of the short deoxynucleoside probes specific to rRNAs and digestion of the RNA:DNA hetero-duplex by RNase H. Thus, minimization of the nonspecific hybridization of the probes to other RNA species is critical for efficient and nonbiased transcriptome studies. Thus, the hybridization reaction of the Ribo-Zero method is carried out at a high temperature (68C) to reduce nonspecific hybridization. To this end, we aimed to optimize the experimental conditions in the RNase H-based rRNA depletion method to prevent unwanted RNA degradation by nonspecific binding (Fig 1). First, the RNA sample was denatured at 95C for only 1 s. Prolonged incubation at a denaturing temperature that may induce spontaneous hydrolysis of RNA was not necessary for all tested samples in this study. Next, we performed RNase H reaction at an elevated temperature (65C) to prevent unwanted hybridization of anti-rRNA oligonucleotide probes (ArOPs) to mRNA. To support this reaction, Hybridase thermostable RNase H, that has an optimum reaction temperature at 65C or higher, was used. Synthetic single-stranded deoxyoligonucleotides with melting temperatures higher than 68C were used as ArOPs to support efficient hybridization at a high reaction temperature (65C).


Furthermore, by the nature of the Poisson process of RNA-Seq, gene expression levels measured by multiple replicates showed heteroscedasticity; that is, the variance of gene expression measured between replicates increases as the expression level decreases [19,20]. The variation of biological replicates is a combination of technical and biological variation [19]. Given the experimental setup, the difference in observed variations across different methods were originated from different technical variations, since the libraries were prepared from aliquots of the same biologically replicated samples. Thus, we expected to observe different distribution of variation across expression level if rRNA removal method was unsuccessful or introducing bias. The variation of gene expressions from the samples prepared without rRNA depletion was much higher than that of the rRNA-depleted samples and was not heteroscedastic (S5 Fig). In contrast, samples prepared using Ribo-Zero, RiboErase, and RiboRid had identical distribution of experimental variations. Moreover, the average coefficient of variation (standard deviation divided by mean expression of a gene, which implies that the variance of measured expression adjusted by expression level) of the control samples was more than 3.6-fold higher than that of the rRNA-depleted sample, while the three methods had similar values. Considering the number of genes detected and the distribution of experimental variances, rRNA depletion greatly reduced the counting error of RNA-Seq, especially for genes with low abundance.


Next, we tested RNA input up to 1 μg and different ratios of ArOPs to total RNA. There was virtually no difference in the rRNA content of sequenced reads, indicating that the rRNA depletion method works for various amounts of input RNA and ratios of ArOPs to RNA (Fig 2C). In addition, correlations between these technically replicated samples were higher than 0.989 (S6A Fig). This shows that the method is sufficiently robust to accommodate practical variations in biological experiments.


To examine the versatility of the RiboRid method for diverse bacterial species, we applied RiboRid to two Gram-negative bacteria, Pseudomonas aeruginosa and Bacteroides thetaiotaomicron, and two Gram-positive bacteria, Eubacterium limosum and Staphylococcus aureus, with ArOPs specific for each bacterium (Table 2). P. aeruginosa is a Gram-negative opportunistic pathogen that is a common cause of pneumonia and other infections in various parts of the body [21]. rRNAs were successfully removed from the laboratory derivative PAO1 isolate [22] using the standard RiboRid method to a level where rRNA comprised an average of 4% of mappable reads in RNA-Seq. However, we encountered an interesting profile of rRNA operons (Fig 4A). There were large amounts of RNA fragments in the intergenic region of the rRNA operons. Considering rRNA maturation and processing in bacteria, the fragments were predicted to be the pre-rRNAs that were not depleted due to the absence of complementary ArOPs. The pre-rRNAs comprised an average of 0.84% of the mapped reads in RNA-Seq. Although the amount of pre-rRNA reads was negligible when compared to mRNA reads, we tested two different approaches to further remove pre-rRNA species. First, a two-fold increase in Hybridase in the reaction did not affect the overall amount of non-mRNA or pre-rRNA reads (Fig 4A and 4B). In fact, supplementation of a few anti-pre-rRNA oligos (S4 Table) in the Hybridase reaction reduced the amount of pre-rRNA fragments from the RNA sample to 0.06% (Fig 4B).


(A) RNA-Seq profile of rRNA operon in P. aeruginosa. Shaded area indicates premature rRNA fragment. 5U Hyb: RNA-Seq prepared by treating standard RiboRid reaction (standard amount of Hybridase; 5 units). 10U Hyb: sample treated with twice more Hybridase than standard method (10 units). Pre-rRNA depletion: RNA-Seq profile of sample prepared by RiboRid reaction comprising 10 additional ArOP targeting pre-rRNA species. (B) Fraction of reads mapped on mRNA and other rRNA-related RNAs. Error bars indicate the standard deviation of two biological replicates.


Ribosome profiling is a transcriptome sequencing technique that surveys mRNAs that are actively translated by capturing ribosome-protected fragments (RPFs) [31]. It is one of the most challenging transcriptome analysis techniques because it generates highly fragmented short rRNA fragments during enzymatic digestion of RNA that are not protected by ribosomes. Depletion of highly fragmented short rRNA fragments is a major technical challenge in bacterial ribosome profiling. We performed ribosome profiling of E. coli using the RiboRid method, which was modified by adopting a previously developed streamlined protocol (see Methods) [32]. Initially, the method failed to remove rRNA fragments from the RPFs, such that 95.6% of sequencing reads were mapped to rRNA (Table 3). Close inspection of the sequencing profile indicated that specific regions of rRNA were enriched (Fig 6A). Thus, we designed and supplemented six additional probes (additional set 1) targeting the enriched regions (S5 Table). The specific RNA fragments were clearly depleted after RiboRid treatment with the additional probe set 1 (Fig 6B). However, another rRNA fragment remained and became more noticeable relative to the fragments targeted by probe set 1. We constructed six additional probes (additional set 2) and RiboRid with the two additional probe sets reduced the fraction of reads mapped on rRNA down to the level shown by the Ribo-Zero-treated sample, which was approximately 70% (Fig 6C and Table 3). Meta-analysis of the ribosome profile on coding sequences showed a nucleotide-resolution profile of ribosome footprint and pausing on the start codon (Fig 6D), which is comparable to Ribo-Zero treated profile (S10 Fig), illustrating the capability of RiboRid in ribosome profiling [33].

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