Biology subjects

Bell, J. M.

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

8 recordsLinked to original sources

bioRxiv2026

Structural financial ambiguity in climate-smart agriculture research: A bibliometric analysis of African knowledge systems

Climate-smart agriculture (CSA) dominates African agricultural policy discourse, yet fifteen years post-conceptualization, its transformative potential remains unrealized. Bibliometric analysis of 161 Scopus-indexed publications (2014-2025) reveals exponential field growth (31.3% annually) coupled with on technical dimensions and systemic neglect of financial mechanisms. Network analysis (VOSviewer), semantic mapping and citation bibliometrics expose cognitive oligopolisation--wherein 1.8% of authors generate 45% of output--geographical fragmentation into weakly connected regional clusters, and critical underrepresentation of the vulnerable Sahel. Despite 46.6% of publications addressing economic themes, merely 5.6% rigorously integrate financial analysis with adoption variables; terms including investment, cost-benefit and climate finance remain absent from major semantic clusters. The concept of structural financial ambiguity is introduced to characterize the maintenance of CSA in operational indeterminacy through academic discourse that substitutes description for actionable financial theorization. Paradigmatic transformation conditions are identified through emerging scholarship employing discrete choice experiments and cost-benefit evaluations to construct requisite knowledge foundations. Findings indicate that without comprehensive theorization of microfinance, digital finance, index-based insurance and payments for environmental services, international climate commitments risk implementation failure due to absence of scientifically validated financial instruments rather than technical solutions.

scientific communication and education↗

bioRxiv2025

Genomic and epidemiologic characteristics of SARS-CoV-2 persistent infections in California, January 2021 - July 2023

Novel SARS-CoV-2 variants demonstrating considerable intra-host evolution emerged throughout the pandemic. The persistent infections thought to give rise to these variants, however, have been difficult to identify at scale. This study sought to detect and characterize persistent infection cases in California using routine epidemiologic and genomic surveillance data. We identified 69 persistent infection cases with collection dates between January 2021 and July 2023 ranging from 21 to 400 days in duration, with an average of 44 days. Significant differences were identified in age distribution, sex, hospitalizations, and deaths between persistent infection cases and all sequenced California SARS-CoV-2 cases. Underlying health conditions were identified for the majority of cases with available medical records. The mutations found in these cases were suggestive of positive selection in the Spike receptor binding domain and convergent evolution toward immune evasion and residues observed in previous persistent infections. We describe a 400-day B.1.429 infection that demonstrates substantial intra-host evolution, and a BA.5.11 persistent infection revealing apparent competition between two intra-host viral subpopulations. By establishing a framework for detecting persistent infections, this study lays the groundwork for other public health organizations to monitor and investigate highly divergent SARS-CoV-2 viruses. Author SummaryGenomic surveillance has been used to monitor the evolution and spread of SARS-CoV-2 variants throughout the pandemic. When a new variant emerges, it is often due to the accumulation of mutations during a persistent infection, i.e. in an individual who was unable to clear the virus after an infection. Using genomic and epidemiologic surveillance data, we identify 69 of these persistent infections in California and provide demographic and clinical characteristics of these infections compared to the broader population of SARS-CoV-2 infections. The identification of risk factors for persistent infections provides important insight into the epidemiology of SARS-CoV-2, while the identification of shared mutations between these infections enhances our understanding of SARS-CoV-2 evolution that may result in new variants. Ultimately, our work may help public health labs to better monitor persistent infections in the future, prior to the potential emergence and spread of novel variants into the community.

genomics↗

bioRxiv2025

Epidermal Stem Cells Control Periderm Injury Repair via Matrix-Driven Specialization of Intercellular Junctions

Epidermal stem cells interact with the extracellular matrix (ECM) to regulate their differentiation and maintain skin architecture. Here, we demonstrate a novel role for basal epidermal stem cells (BECs)-ECM interaction in regulating adhesion molecules expressed by the periderm--the superficial epidermal cells (SECs) of the embryonic bilayered skin. Using the developing zebrafish fin fold, we identify BECs form distinct regions of collagen-versus laminin-enriched basement membranes through integrin-mediated adhesions. Mechanistically, collagen-associated BECs form desmosomes and adherens junctions (AJs) with SECs while laminin-associated BECs display reduced desmosomes but sustain AJs and actomyosin expression with SECs. Notably, we show both in vivo and in a bilayered human keratinocyte model, that laminin, compared to collagen, is sufficient to repress desmosome formation while sustaining AJs specifically at the interlayer cell contacts. In vivo, laminin deficiency enhances desmosome expression across layers and impairs the wound-healing capacity of SECs. This defect was partially rescued by genetic reduction of the desmosome protein Desmoplakin-1a, highlighting the role of ECM-dependent junctional specialization in mediating differences in SEC injury response. Overall, our findings identify that stem cells, through their matrix, establish specialized junctions in the overlying stratified epithelium, which contribute to skin healing properties.

developmental biology↗

bioRxiv2024

foxg1a is required for hair cell development and regeneration in the zebrafish lateral line

Mechanosensory hair cells located in the inner ear mediate the sensations of hearing and balance. If damaged, mammalian inner ear hair cells are unable to regenerate, resulting in permanent sensory deficits. Aquatic vertebrates like zebrafish (Danio rerio) have a specialized class of mechanosensory hair cells found in the lateral line system, allowing them to sense changes in water current. Unlike mammalian inner ear hair cells, lateral line hair cells can robustly regenerate following damage. In mammalian models, the transcription factor Foxg1 functions to promote normal development of the inner ear. Foxg1a is expressed in lateral line sensory organs in zebrafish larvae, but its function during lateral line development and regeneration has not been investigated. We find that loss of Foxg1a function results in reduced hair cell development and regeneration, as well as decreased cellular proliferation in the lateral line system. These data suggest that Foxg1 may be a valuable target for investigation of clinical hair cell regeneration. Summary statementOur work demonstrates a role for Foxg1a in developing and regenerating new sensory cells through proliferation.

developmental biology↗

bioRxiv2021

Ghrelin proteolysis by insulin-degrading enzyme

Here we report proteolysis of synthetic acylated human ghrelin by recombinant human insulin-degrading enzyme (IDE). Kinetic parameters and sites of proteolytic cleavage were evaluated. Ghrelin proteolysis by IDE was inhibited by ethylenediaminetetraacetate (EDTA), a metal chelating agent. Ghrelin proteolysis appears at least somewhat specific to M16 family proteases such as IDE, as the M13 protease neprilysin (NEP) did not exhibit ghrelin proteolysis in this study. A quenched fluorogenic peptide substrate comprising the primary sites of IDE-mediated ghrelin proteolysis (Mca-QRVQQRKESKK(Dnp)-OH; Mca: 7-methoxycoumarin-3-carboxylic acid; Dnp: 2,4-dinitrophenyl) was developed and used to evaluate enzyme specificity and kinetic parameters of proteolysis. Like acyl ghrelin, Mca-QRVQQRKESKK(Dnp)-OH was efficiently cleaved by IDE central to the target sequence. We anticipate that this quenched fluorogenic peptide substrate will be of value to future studies of ghrelin proteolysis by IDE and potentially other peptidases.

biochemistry↗

bioRxiv2019

Genetic risk of cholangiocarcinoma is linked to the autophagy gene ATG7

Cholangiocarcinoma is an aggressive cancer originating from the bile duct. Although cholangiocarcinoma does occur in families, to date no specific causative gene has been identified. We identified ATG7 as a cancer susceptibility gene using a joint genetic analysis of an extended pedigree with familial cholangiocarcinoma in combination with a population genetic association study. Affected family members had a germline mutation (c.2000C>T [p.Arg659*]) in the autophagy related gene, ATG7, and all of the affected individuals had cholangiocarcinoma tumors harboring somatic genomic deletions of ATG7. From a population genetic study, we identified a germline polymorphism of ATG7 (c.1591C>G [p.Asp522Glu]) associated with increased risk of cholangiocarcinoma. The autophagy substrate p62 demonstrated a higher accumulation in tumors of p.Asp522Glu carriers compared with non-carriers indicating defective autophagy. To determine whether the germline ATG7 mutation had functional consequences, we developed an ATG7-deficient cholangiocyte cell line, derived from human bile duct, to test for autophagy-mediated lipidation activity. The germline mutation from the familial cholangiocarcinoma demonstrated a lack of lipidation activity compared to the wildtype ATG7. Moreover, in zebrafish embryos depleted of atg7, a reproducible necrotic head phenotype was rescued by injection of wildtype ATG7 but not mutant ATG7. Our findings point to ATG7 as a causative genetic risk factor for cholangiocarcinoma and implicate autophagy as a novel cancer driver mechanism.

genomics↗

bioRxiv2019

Nerve Excitability Differences in Slow and Fast Motor Axons of the Rat: more than just Ih

ObjectiveThe objective was to determine if choice of anaesthetic confounded previous conclusions about the differences in nerve excitability indices between fast and slow motor axons.\n\nMethodologyNerve excitability of the rat sciatic nerve was tested while measuring responses of motor axons innervating the slow-twitch soleus (SOL) and fast-twitch tibialis anterior (TA) muscles. The experiments were conducted with sodium pentobarbital (SP) anaesthetic and compared to previous results that used ketamine-xylazine (KX).\n\nResults and ConclusionsPrevious conclusions about the differences in nerve excitability indices between TA and SOL motor axons using KX were corroborated and extended when experiments were done with SP. Nerve excitability indices sensitive to changes in hyperpolarization-activated inwardly rectifying cation current (Ih) indicated an increase in Ih in SOL axons compared to TA axons (e.g. S3 (-100 %), t=7.949 (df=10), p < 0.0001; TEh (90-100 ms), t=2.659 (df=20), p = 0.0145; hyperpolarizing I/V slope, t=4.308 (df=19), p = 0.0004). SOL axons also had a longer strength-duration time constant (t=3.35 (df=20), p = 0.0032) and a longer and larger magnitude relative refractory period (RRP (ms) t=3.53 (df=12), p = 0.0041; Refractoriness at 2 ms t=0.0055 (df=9), p = 0.0055).\n\nAnaesthetic choice affected many measures of peripheral nerve excitability with differences most apparent in tests of threshold electrotonus and recovery cycle. For example, recovery cycle with KX lacked a clear superexcitable and late subexcitable period. We conclude that KX had a confounding effect on nerve excitability results consistent with ischaemic depolarization. Results using SP revealed the full extent of differences in nerve excitability measures between putative slow and fast motor axons of the rat. These differences have important implications for the use of nerve excitability measures during processes such as ageing where it is believed that there is a selective loss of fast axons.\n\nNew & NoteworthyNerve excitability testing is a tool used to provide insight into the properties of ion channels in peripheral nerves. It is used clinically to assess pathophysiology of motor axons. Researchers customarily think of motor axons as homogeneous; however, we demonstrate there are clear differences between fast and slow axons in the rat. This is important for interpreting results with selective motor neuronopathy, like aging where fast axons are at high risk of degeneration.

neuroscience↗

bioRxiv2018

Haplotype-resolved and integrated genome analysis of ENCODE cell line HepG2

The HepG2 cancer cell line is one of the most widely-used biomedical research and one of the main cell lines of ENCODE. Vast numbers of functional genomics and epigenomics datasets have been produced to characterize its biology. However, the correct interpretation such data requires an understanding of the cell lines genome sequence and genome structure. Using a variety of sequencing and analysis methods, we identified a wide spectrum of HepG2 genome characteristics: copy numbers of chromosomal segments, SNVs and Indels (corrected for aneuploidy), phased haplotypes extending to entire chromosome arms, loss of heterozygosity, retrotransposon insertions, structural variants (SVs) including complex and somatic genomic rearrangements. We also identified allele-specific expression and DNA methylation genome-wide and assembled an allele-specific CRISPR/Cas9 targeting map.\n\nSIGNIFICANCEHaplotype-resolved and comprehensive whole-genome analysis of a widely-used cell line for cancer research and ENCODE, HepG2, serves as an essential resource for unlocking complex cancer gene regulation using a genome-integrated framework and also provides genomic context for the analysis of ~1,000 functional datasets to date on ENCODE for biological discovery. We also demonstrate how deeper insights into genomic regulatory complexity are gained by adopting a genome-integrated framework.

genomics↗