Biology subjects

Lim, A. L.

Publications and source records attributed to Lim, A. L..

6 recordsLinked to original sources

bioRxiv2024

Description of Bacterial RNA Transcripts Detected in Mycobacterium tuberculosis Infected Cells from Peripheral Human Granulomas using Single Cell RNA Sequencing

Mycobacterium tuberculosis (Mtb) remains a global human health threat and a significant cause of human morbidity and mortality. We document here the capture of Mtb transcripts in libraries designed to amplify eukaryotic mRNA. These reads are often considered spurious or nuisance and are rarely investigated. Because of early literature suggesting the possible presence of polyadenylated transcripts in Mtb RNA, we included the H37Rv Mtb reference genome when assembling scRNA seq libraries from fine needle aspirate samples from patients presenting at the TB clinic, Port Moresby General Hospital, Papua New Guinea. We used 10X Genomics single-cell RNA sequencing transcriptomics pipeline, which initiates mRNA amplification with poly-T primers on [~]30-micron beads designed to capture, in this case, human mRNA associated with individual cells in the clinical samples. Utilizing the 10X Genomics Cell Ranger tool to align sequencing reads, we consistently detected bacterial small and large ribosomal subunit RNA sequences (rrs and rrl, respectively) and other bacterial gene transcripts in the cell culture and patient samples. We interpret Mtb reads associated with the host cells unique molecular identifier (UMI) and transcriptome to indicate infection of that individual host cell. The Mtb transcripts detected showed frequent sequence variation from the reference genome, with greater than 90% of the rrs or rrl reads from many clinical samples having at least 1 sequence difference compared to the H37Rv reference genome. The data presented includes only bacterial sequences from patients with TB infections that were confirmed by the hospital pathology lab using acid-fast microscopy and/or GeneXpert analysis. The repeated, non-random nature of the sequence variations detected in Mtb rrs and rrl transcripts from multiple patients, suggests that, even though this appears to be a stochastic process, there is possibly some selective pressure that limits the types and locations of sequence variation allowed. The variation does not appear to be entirely artefactual, and it is hypothesized that it could represent an additional mechanism of adaptation to enhance bacterial fitness against host defenses or chemotherapy.

microbiology↗

bioRxiv2024

Single Cell Analysis of Peripheral TB-Associated Granulomatous Lymphadenitis

We successfully employed a single cell RNA sequencing (scRNA-seq) approach to describe the cells and the communication networks characterizing granulomatous lymph nodes of TB patients. When mapping cells from individual patient samples, clustered based on their transcriptome similarities, we uniformly identify several cell types that known to characterize human and non-human primate granulomas. Whether high or low Mtb burden, we find the T cell cluster to be one of the most abundant. Many cells expressing T cell markers are clearly quantifiable within this CD3 expressing cluster. Other cell clusters that are uniformly detected, but that vary dramatically in abundance amongst the individual patient samples, are the B cell, plasma cell and macrophage/dendrocyte and NK cell clusters. When we combine all our scRNA-seq data from our current 23 patients (in order to add power to cell cluster identification in patient samples with fewer cells), we distinguish T, macrophage, dendrocyte and plasma cell subclusters, each with distinct signaling activities. The sizes of these subclusters also varies dramatically amongst the individual patients. In comparing FNA composition we noted trends in which T cell populations and macrophage/dendrocyte populations were negatively correlated with NK cell populations. In addition, we also discovered that the scRNA-seq pipeline, designed for quantification of human cell mRNA, also detects Mtb RNA transcripts and associates them with their host cells transcriptome, thus identifying individual infected cells. We hypothesize that the number of detected bacterial transcript reads provides a measure of Mtb burden, as does the number of Mtb-infected cells. The number of infected cells also varies dramatically in abundance amongst the patient samples. CellChat analysis identified predominating signaling pathways amongst the cells comprising the various granulomas, including many interactions between stromal or endothelial cells and the other component cells, such as Collagen, FN1 and Laminin. In addition, other more selective communications pathways, including MIF, MHC-1, MHC-2, APP, CD 22, CD45, and others, are identified as originating or being received by individual immune cell components. Author SummaryThe research conducted describes the cellular composition and communication networks within granulomatous lymph nodes of tuberculosis (TB) patients, employing a single-cell RNA sequencing (scRNA-seq) approach. By analyzing individual patient samples and clustering cells based on their transcriptome similarities, the study reveals several consistent cell types described to be present in both human and non-human primate granulomas. Notably, T cell clusters emerge as abundant in most samples. Additionally, variations in the abundance of B cells, plasma cells, macrophages/dendrocytes, and NK cells among patient samples are observed. Pooling scRNA-seq data from 23 patients enabled the identification of T, macrophage, dendrocyte, and plasma cell subclusters, each displaying distinct signaling activities. Moreover, the study uncovers a surprising capability of the scRNA-seq pipeline to detect Mtb RNA transcripts within host cells, providing insights into individual infected cells and Mtb burden. CellChat analysis unveils predominant signaling pathways within granulomas, highlighting interactions between stromal/endothelial cells and other immune cell components. Moreover, selective communication pathways involving molecules such as Collagen, FN1, Laminin, CD99, MIF, MHC-1, APP and CD45 are identified, shedding light on the intricate interplay within granulomatous lymph nodes during TB infection.

pathology↗

bioRxiv2021

Initial efficacy determination and resistance profile of anti-Acinetobacter antibiotics, turnercyclamycins

Drug-resistant Acinetobacter is a challenging, deadly pathogen of increasing prevalence in the US healthcare system. Recently, we described a series of lipopeptides, the turnercyclamycins, which retain potency against Acinetobacter strains that are resistant to the last-line antibiotic, colistin. To further evaluate the potential of turnercyclamycins, we completed mouse efficacy, pharmacokinetics, and toxicity studies. These demonstrate that turnercyclamycin A has a pharmacological profile with similarity to other lipopeptides that are in clinical use. Turnercyclamycin A was well tolerated in mice up to 25 mg/kg, and exhibited >99% and >98% reduction in bacterial load compared to vehicle control in a thigh infection model at 25 and 12.5 mg/kg, respectively. This result closely reflected the anticipated effectiveness based upon in vitro activity and was similar to the colistin control. Acinetobacter strains resistant to colistin often harbor the mcr-1 resistance gene. Here, we show that the effectiveness of turnercyclamycins against Escherichia coli is not greatly altered by mcr-1 (0- to 2-fold) whereas there is a 16-fold increase in the colistin minimal inhibitory concentration when mcr-1 is present. These data suggest that turnercyclamycins are suitable for further investigation and optimization as anti-Acinetobacter lead compounds.

pharmacology and toxicology↗

bioRxiv2021

Nicotinic acetylcholine receptor partial antagonist polyamides from tunicates and their predatory sea slugs

In our efforts to discover new drugs to treat pain, we identified molleamines A-E (1-5) as major neuroactive components of the sea slug, Pleurobranchus forskalii and their prey, Didemnum molle tunicates. The chemical structures of molleamines were elucidated by spectroscopy and confirmed by the total synthesis of molleamines A (1) and C (3). Synthetic 3 completely blocked acetylcholine-induced calcium flux in peptidergic nociceptors (PNs) in the somatosensory nervous system. Compound 3 affected neither the 7 nAChR nor the muscarinic acetylcholine receptors in calcium flux assays. In addition to nociceptors, 3 partially blocked the acetylcholine-induced calcium flux in the sympathetic nervous system, including neurons from the superior cervical ganglion. Electrophysiology revealed a block of 3{beta}4 (mouse) and 6/3{beta}4 (rat) nicotinic acetylcholine receptors (nAChRs), with IC50 values of 1.4 and 3.1 {micro}M, respectively. Molleamine C (3) is a partial antagonist, reaching a maximum block of 76-82% of the acetylcholine signal and showing no partial agonist response. Molleamine C (3) may thus provide a lead compound for the development of neuroactive compounds with unique biological properties.

neuroscience↗

bioRxiv2021

The tunicate metabolite 2-(3,5-diiodo-4-methoxyphenyl)ethan-1-amine targets ion channels of vertebrate sensory neurons

Marine tunicates produce defensive amino-acid derived metabolites, including 2-(3,5-diiodo-4-methoxyphenyl)ethan-1-amine (DIMTA), but their mechanisms of action are rarely known. Using an assay-guided approach, we found that out of the many different sensory cells in the mouse dorsal root ganglion (DRG), DIMTA selectively affected low-threshold cold thermosensors. Whole-cell electrophysiology experiments using DRG cells, channels expressed in Xenopus oocytes and human cell lines revealed that DIMTA blocks several potassium channels, reducing the magnitude of the afterhyperpolarization and increasing the baseline [Ca2+]i of low-threshold cold thermosensors. When injected into mice, DIMTA increased the threshold of cold sensation by >3 oC. DIMTA may thus serve as a lead in the further design of compounds that inhibit problems in the cold-sensory system, such as cold allodynia and other neuropathic pain conditions.

neuroscience↗

bioRxiv2021

HIV-1 provirus transcription and translation in macrophages differs from macrophages containing pre-integrated cDNA complexes and requires E2F transcriptional programs

HIV-1 cDNA pre-integration complexes have been shown to persist for weeks in macrophages and to be transcriptionally active. Early and late gene transcripts are produced, along with some viral proteins, yet whole virus is not. While previous work has focused on the transcription and translation of HIV-1 genes; our understanding of cellular milieu that accompanies viral production is incomplete. We have used an in vitro system to model HIV-1 infection of macrophages, and single cell RNA sequencing (scRNA-seq) to compare the transcriptomes of uninfected cells, cells harboring pre-integration HIV-1 complexes (PIC) and those containing integrated provirus and actively making late HIV proteins. These are also compared to control cells, not exposed to virus. Several observations provide new perspective on the effects of HIV-1 transcription from pre-integrated cDNA versus from integrated provirus. First, HIV-1 transcript levels do not necessarily correlate with virus production, cells harboring PIC cDNA have transcript loads comparable to cells transcribing from provirus and making p24, mCherry, and vpu proteins. Second, all HIV-1 transcripts are easily detectable in abundance from PIC cDNA transcription, as is the case with cells transcribing from provirus, although the frequency of PIC cells with detectable gag-pol, tat, env, and nef transcripts is higher than the corresponding frequencies observed for "Provirus cells". Third, the background transcriptomes of cells harboring pre- integrated HIV-1 cDNA are not otherwise detectably altered from cells not containing any HIV- 1 transcript. Fourth, integration and production of p24, mCherry, and Vpu proteins is accompanied by a switch from transcriptomes characterized by NFkB and AP-1 promoted transcription to a transcriptome characterized by E2F family transcription products. While some of these observations may seem heretical, single cell analysis provides a more nuanced understanding of PIC cDNA transcription and the transcriptomic changes that support HIV-1 protein production from integrated provirus. Author SummarySingle cell analysis is able to distinguish between HIV-1 infected macrophage cells that are transcribing pre-integrated HIV-1 cDNA and those transcribing HIV-1 provirus. Only cells transcribing HIV-1 provirus are making p24, marker mCherry and Vpu proteins, which corresponds with a change in the host cells background transcriptome from one expressing viral restriction and immunological response genes to one that is expressing genes associated with cell replication and oxidative phosphorylation.

microbiology↗