Biology subjects

Howard, J. M.

Publications and source records attributed to Howard, J. M..

6 recordsLinked to original sources

bioRxiv2025

A method of comprehensive sequencing analysis of the small RNA fragmentome (RiboMarker)

Circulating cell-free nucleic acids (cfDNA and cfRNA) found in blood and other biofluids are promising biomarkers for cancer. However, current methods exploiting tumor-derived cfDNA (ctDNA) are not sensitive enough in detecting minimal residual disease and early stages of cancer when it is more treatable. Small RNAs and RNA fragments (sRNA) can potentially provide higher detection sensitivity and specificity than ctDNA. Sequencing analysis of the variety of sRNAs representing the entire RNA fragmentome would improve our understanding of their roles in cancer development and help to discover novel sRNA biomarkers for cancer diagnostics and personalized treatments. However, conventional methods of sRNA-Seq library preparation are limited to detection of sRNA with 5-P and 3-OH ends that represent only less than 10% of the whole RNA fragmentome, whereas sRNAs having different phosphorylation statuses (P or OH) of their termini are hidden. Although recently developed sRNA-Seq methods allow detection of most sRNA (including the hidden ones) simultaneously, these methods cannot both detect and distinguish among the individual RNAs with differing termini combinations (RNA Types). Here we describe the RiboMarker(R) platform for preparation of sRNA sequencing libraries that addresses these shortcomings. It uses distinctive enzymatic pretreatment(s) of RNA samples that can both detect all and enrich for individual sRNA Types upfront of sequencing library preparation. The RiboMarker(R) platform has the potential capability to both identify and detect with enhanced sensitivity low abundance sRNA biomarkers of specific RNA classes and their termini.

molecular biology↗

bioRxiv2025

Characterization of transcriptomic changes across Coccidioides morphologies using RiboMarker(R)-enhanced RNA sequencing

Coccidioides is a dimorphic, pathogenic fungus responsible for transmission of the mammalian disease colloquially known as "Valley fever". To better understand the molecular basis of Coccidioides pathogenesis, previous studies have characterized transcriptomes that define transitions between the saprobic and pathogenic life stages of the two species that cause Valley fever - Coccidioides immitis and Coccidioides posadasii. However, none of these studies have focused on small RNA profiles, which have been shown in several pathogenic fungi to play crucial roles in host-pathogen communication, affecting virulence and infectivity. In this study, we analyzed changes in small RNA expression across three major morphologies of C. posadasii: arthroconidia, mycelia, and spherules, from both intracellular and extracellular fractions. Utilizing RiboMarker(R) small RNA and RNA fragment library preparation, we show enhanced coverage across the transcriptome by increasing incorporation of normally incompatible RNAs into the sequencing pool. Using these data, we observed transcriptomic shifts during the transition of arthroconidia to either mycelia or spherules, marked largely by changes in both protein-coding, tRNA, and unannotated loci. As little is known regarding the mechanisms governing these life stage transitions, these data provide better insight into those small RNA- and fragment-producing genes and loci that may be required for progression between Coccidioides saprobic and parasitic life cycles. Additionally, analysis of fragmentation patterns across all morphologies suggests unique patterns of RNA fragmentation across a cohort of RNA species that correlate with a given ecotype. Finally, we noted evidence of RNA export to the extracellular space, particularly regarding snRNA and tRNA-derived fragments as well as mRNA-derived transcripts, during the transition to either mycelia or spherules, which may play roles in cell-cell, and/or host-pathogen communication. Going forward, this newly established intra- and extracellular Coccidioides sRNA atlas will provide a foundation for potential biomarker discovery and contribute to our understanding of the molecular basis for virulence in Valley fever.

molecular biology↗

bioRxiv2024

Mutation in Wdr45 leads to early motor dysfunction and widespread aberrant axon terminals in a beta-propeller protein associated neurodegeneration (BPAN) patient-inspired mouse model

Beta-propeller Protein Associated Neurodegeneration (BPAN) is a devastating neurodevelopmental and neurodegenerative disease linked to variants in WDR45. Currently, there is no cure or disease altering treatment for this disease. This is, in part, due to a lack of insight into early phenotypes of BPAN progression and WDR45s role in establishing and maintaining neurological function. Here we generated and characterized a mouse model bearing a c52C>T BPAN patient variant in Wdr45. We show this mutation ablates WDR45 protein expression and alters autophagy in the brain. Behavioral analysis of these mice revealed characteristic signs of BPAN including cognitive impairment, hyperactivity, and motor decline. We show these behaviors coincide with widespread neuroinflammation and development of axonal spheroids in multiple neuron subclasses throughout the brain. Several lines of evidence suggest these spheroids arise from axon terminals. Transcriptomic analysis uncovered multiple disrupted pathways in the cortex including genes associated with synapses, neurites, endosomes, endoplasmic reticulum, and ferroptosis. This is supported by accumulation of the iron regulating transferrin receptor 1 (TFRC) and the endoplasmic reticulum resident calreticulin (CALR) in the cortex as these animals age. CALR forms spheroid structures similar to the axonal spheroids seen in these animals. Taken together, our data demonstrate that WDR45 is necessary for healthy brain function and maintenance of axon terminals. This model opens the door to therapeutics targeting BPAN and further exploration of the role of WDR45 in neuronal function.

neuroscience↗

bioRxiv2022

tRNA Analysis of eXpression (tRAX): A tool for integrating analysis of tRNAs, tRNA-derived small RNAs, and tRNA modifications

Recent high-throughput sequencing protocols have facilitated increased accuracy in measurements of transfer tRNAs (tRNAs) and tRNA-derived small RNAs (tDRs) from biological samples. However, commonly used RNA-seq analysis pipelines overlook special considerations given the unique features of tRNA metabolism. We present tRAX (tRNA Analysis of eXpression), a user-friendly analytic package for streamlined processing and graphic presentation of small-RNA sequencing data. Here, we apply it to both tRNAs and tDRs from mouse tissues to illustrate the extensive analysis and visualization features. Biologically compelling results demonstrate tRAX as an effective and accessible tool for in-depth characterization of tRNA and tDR transcriptomes.

bioinformatics↗

bioRxiv2017

Precise, pan-cancer discovery of gene fusions reveals a signature of selection in primary tumors

Short AbstractThe extent to which gene fusions function as drivers of cancer remains a critical open question in cancer biology. In principle, transcriptome sequencing provided by The Cancer Genome Atlas (TCGA) enables unbiased discovery of gene fusions and post-analysis that informs the answer to this question. To date, such an analysis has been impossible because of performance limitations in fusion detection algorithms. By engineering a new, more precise, algorithm and statistical approaches to post-analysis of fusions called in TCGA data, we report new recurrent gene fusions, including those that could be druggable; new candidate pan-cancer oncogenes based on their profiles in fusions; and prevalent, previously overlooked, candidate oncogenic gene fusions in ovarian cancer, a disease with minimal treatment advances in recent decades. The novel and reproducible statistical algorithms and, more importantly, the biological conclusions open the door for increased attention to gene fusions as drivers of cancer and for future research into using fusions for targeted therapy.

cancer biology↗

bioRxiv2017

HNRNPA1 promotes recognition of splice site decoys by U2AF2 in vivo

Alternative pre-mRNA splicing plays a major role in expanding the transcript output of human genes. This process is regulated, in part, by the interplay of trans-acting RNA binding proteins (RBPs) with myriad cis-regulatory elements scattered throughout pre-mRNAs. These molecular recognition events are critical for defining the protein coding sequences (exons) within pre-mRNAs and directing spliceosome assembly on non-coding regions (introns). One of the earliest events in this process is recognition of the 3 splice site by U2 small nuclear RNA auxiliary factor 2 (U2AF2). Splicing regulators, such as the heterogeneous nuclear ribonucleoprotein A1 (HNRNPA1), influence spliceosome assembly both in vitro and in vivo, but their mechanisms of action remain poorly described on a global scale. HNRNPA1 also promotes proof reading of 3ss sequences though a direct interaction with the U2AF heterodimer. To determine how HNRNPA1 regulates U2AF-RNA interactions in vivo, we analyzed U2AF2 RNA binding specificity using individual-nucleotide resolution crosslinking immunoprecipitation (iCLIP) in control- and HNRNPA1 over-expression cells. We observed changes in the distribution of U2AF2 crosslinking sites relative to the 3 splice sites of alternative cassette exons but not constitutive exons upon HNRNPA1 over-expression. A subset of these events shows a concomitant increase of U2AF2 crosslinking at distal intronic regions, suggesting a shift of U2AF2 to \"decoy\" binding sites. Of the many non-canonical U2AF2 binding sites, Alu-derived RNA sequences represented one of the most abundant classes of HNRNPA1-dependent decoys. Splicing reporter assays demonstrated that mutation of U2AF2 decoy sites inhibited HNRNPA1-dependent exon skipping in vivo. We propose that HNRNPA1 regulates exon definition by modulating the interaction of U2AF2 with decoy or bona fide 3 splice sites.

molecular biology↗