Cell Population Growth Research Articles

The Role of PaFicT in Pseudomonas aeruginosa Persister Cell Formation.

The opportunistic pathogen Pseudomonas aeruginosa (Pa) is a major concern for immunocompromised and cystic fibrosis patients. Chronic lung infections caused by Pa are generally considered incurable, in part, due to the bacteria’s ability to form persister cells. These variants are categorized as being phenotypically dormant and highly tolerant to antibiotic treatment. Currently, the mechanisms involved in Pa persister cell formation is poorly understood. One promising candidate is the Pa filamentation induced by cAMP (FIC) domain containing toxin (PaFicT), which like other FIC toxins transiently inhibits cell growth. Genetic knockout and complementation by single copy chromosomal insertion was used to characterize paficT involvement in Pa persister cell formation. Toxicity and the PaFicT active site were examined by overexpression of wild-type and mutant protein variants. Antibiotic tolerance of PaFicT-induced Pa persister cells, was measured by minimum inhibitory concentration (MIC) analysis and compared to parental mostly non-persister populations. Deletion of paficT resulted in a 7.2-fold reduction in persister cell formation, which was fully complemented by re-insertion of the gene. Expression of PaFicT significantly increased persister cell formation by 5.9-fold, and this phenotype required a functional FIC active site motif. Unlike growing cell populations, PaFicT-induced persister cells were unaffected by 4 h treatment with 10 × MIC meropenem and showed an increased survival of 6.2 × 105-fold to tobramycin under the same conditions. Alternatively, survival of both persisters and parental, mostly non-persister, populations were below detectable levels following amikacin treatment. Results indicate a potential major involvement of PaFicT in Pa persister cell formation and multidrug tolerance.

In vivo and in vitro cell-based model of lung adenocarcinoma from patients with pleural effusion.

Lung adenocarcinoma (LAC) is a common and aggressive form of lung cancer that is increasing in incidence among never smokers at a younger age. Current treatment of patients with LAC is insufficient and there is a need for identification of effective biomarkers and development of therapeutic targets. These demands require also improved models for in vivo and in vitro experimentation. In this study, we describe the establishment of two LAC cell lines, named LuCa-3 and LuCa-6. Both were derived from pleural effusion (PE) cells of LAC patients (L3 and L6) and readily propagated as tumor xenografts in immunodeficient mice. PE cells from the patient L6 exhibited also the capacity for in vitro growth and were cultured in two forms: (i) as a suspension growing cell population, labeled LuCa-6S, composed of non-clumping single cells; and (ii) as a monolayer-like culture, labeled LuCa-6A, exhibiting tight cell-to-cell and to culture surface adherence. Unique features of these two sublines and their cell clones are the capacity to convert from a non-clumping single-cell suspension into the adherent growth pattern and vice versa. Immunostaining of patients' tumor tissue xenografts and cultured subline cells displayed markers specific for the phenotype of human LAC. LuCa-6S and LuCa-6A cells did not reveal a noticeable disparity in quantitative growth characteristics. However, a number of differences were detected between these two cell populations manifested in detection or intensities of antigen expressions on the cell surface (CD133, SFTPC) and in the nucleus (TTF-1) including pluripotent (OCT-4, SOX-2, NANOG) genes in cancer stem-like cells (CSCs). Dissimilarities between these two sublines were also detected in N-glycan profiles and in the sensitivity to natural killer cells. Salient features of these subline cell populations are responsiveness to selective upregulation of the pluripotent genes in subsets of CSCs via conversion of their growth patterns and/or by using culture stem media with growth factors. The described in vivo/in vitro model enables broader experimental approaches in studies of lung adenocarcinoma.

Growth of mixed cancer cell population - in silico the size matters.

Cancer heterogeneity is still underexplored and difficult to investigate. The whole network of factors engaged in tumor growth makes clinical cases, as well as thein vivoand in vitroexperiments, of limited use in terms of understanding cancer heterogeneity. Our idea was to start from scratch and focus on the simplest distinctive feature in a heterogeneous tumor, namely the cell size. To exclude any other factors, we created a rudimentary cellular automata model of mixed cancer culture with two lines of different cell sizes. We tested the model with various sets of parameters to explore how the cell size affects cancer co-culture growth. It turned out that the cell size plays a crucial role inin silicoheterogeneous tumor growth. The dominance of bigger cells decreases the number of cells in the overall mixed cancer population. In contrast, the small cells increase the total number of cells, even without a parallel enlargement of the macroscopic tumor size. Predominance of the smaller cells is particularly visible under overcrowded conditions. Although our model was primarily designed for verification of experimental hypothesis and as a mean for better understanding of the cancer heterogeneity itself, it also has some practical value. Our findings can affect today's practice of estimating tumor growth based on its macroscopic size and may propose a new approach to interpreting histological data. After modifications, the model may serve to test other factors affecting growth of mixed populations of cancer cells differing in size.

The molecular response mechanisms of a diatom Thalassiosira pseudonana to the toxicity of BDE-47 based on whole transcriptome analysis

Polybrominated diphenyl ethers (PBDEs) are ubiquitously distributed persistent organic pollutants (POPs) in marine environments. Phytoplankton are the entrance of PBDEs entering to biotic environments from abiotic environments, while the responding mechanisms of phytoplankton to PBDEs have not been full established. Therefore, we chose the model diatom Thalassiosira pseudonana in this study, by integrating whole transcriptome analysis with physiological-biochemical data, to reveal the molecular responding mechanisms of T. pseudonana to the toxicity of BDE-47. Our results indicated the changes of genes expressions correlated to the physiological-biochemical changes, and there were multiple molecular mechanisms of T. pseudonana responding to the toxicity of BDE-47: Gene expressions evidence explained the suppression of light reaction and proved the occurrence of cellular oxidative stress; In the meanwhile, up-regulations of genes in pathways involving carbon metabolisms happened, including the Calvin cycle, glycolysis, TCA cycle, fatty acid synthesis, and triacylglycerol synthesis; Lastly, DNA damage was found and three outcome including DNA repair, cell cycle arrest and programmed cell death (PCD) happened, which could finally inhibit the cell division and population growth of T. pseudonana. This study presented the most complete molecular responding mechanisms of phytoplankton cells to PBDEs, and provided valuable information of various PBDEs-sensitive genes with multiple functions for further research involving organic pollutants and phytoplankton.

The YDA-MKK4/MKK5-MPK3/MPK6 Cascade Functions Downstream of the RGF1-RGI Ligand–Receptor Pair in Regulating Mitotic Activity in Root Apical Meristem

The mitotic activity of root apical meristem (RAM) is critical to primary root growth and development. Previous studies have identified the roles of ROOT GROWTH FACTOR 1 (RGF1), a peptide ligand, and its receptors, RGF1 INSENSITIVEs (RGIs), a clade of five leucine-rich-repeat receptor-like kinases, in promoting cell division in the RAM, which determines the primary root length. However, the downstream signaling components remain elusive. In this study, we identify a complete mitogen-activated protein kinase (MAPK or MPK) cascade, composed of YDA, MKK4/MKK5, and MPK3/MPK6, that functions downstream of the RGF1-RGI ligand–receptor pair. Similar to the rgi1/2/3/4/5 quintuple mutant, loss-of-function mutants of MPK3 and MPK6, MKK4 and MKK5, or YDA show a short-root phenotype, which is associated with reduced mitotic activity and lower expression of PLETHORA 1 (PLT1)/PLT2 in the RAM. Furthermore, MPK3/MPK6 activation in response to exogenous RGF1 treatment is impaired in the rgi1/2/3/4/5 quintuple, yda single, and mkk4 mkk5 double mutants. Epistatic analyses demonstrated that the expression of constitutively active MKK4, MKK5, or YDA driven by the RGI2 promoter can rescue the short-root phenotype of the rgi1/2/3/4/5 mutant. Taken together, these results suggest that the YDA-MKK4/MKK5-MPK3/MPK6 cascade functions downstream of the RGF1-RGI ligand–receptor pair and upstream of PLT1/PLT2 to modulate the stem cell population and primary root growth in Arabidopsis.

Cellbow: a robust customizable cell segmentation program

BackgroundTime‐lapse live cell imaging of a growing cell population is routine in many biological investigations. A major challenge in imaging analysis is accurate segmentation, a process to define the boundaries of cells based on raw image data. Current segmentation methods relying on single boundary features have problems in robustness when dealing with inhomogeneous foci which invariably happens in cell population imaging.MethodsCombined with a multi‐layer training set strategy, we developed a neural‐network‐based algorithm — Cellbow.ResultsCellbow can achieve accurate and robust segmentation of cells in broad and general settings. It can also facilitate long‐term tracking of cell growth and division. To facilitate the application of Cellbow, we provide a website on which one can online test the software, as well as an ImageJ plugin for the user to visualize the performance before software installation.ConclusionCellbow is customizable and generalizable. It is broadly applicable to segmenting fluorescent images of diverse cell types with no further training needed. For bright‐field images, only a small set of sample images of the specific cell type from the user may be needed for training.

Symmetry properties of conservation laws for nonlinear Fokker-Planck equation describing cell population growth

Symmetry properties of conservation laws of the (2+1)-dimensional nonlinear Fokker-Planck equation describing the growing cell populations are studied. Firstly, a complete symmetry classification is performed with respect to an equivalence transformation. A two-dimensional optimal system of Lie subalgebras is constructed and used to transform the equations into ordinary differential equations. Secondly, all nontrivial conservation laws are determined via multiplier method and their symmetry properties including symmetry homogeneity and symmetry invariance are investigated in detail. Finally, the Fokker-Planck equation with exponential diffusion is further studied where some invariant solutions and all nontrivial conservation laws are found. In particular, a power series solution is constructed and shown to converge to certain invariant solutions by choosing proper parameters. Moreover, the symmetry invariant conservation laws are transformed into the conservation laws or first integrals of the reduced equations. Consequently, double reductions are performed and some exact solutions are found.

Dual delivery of stem cells and insulin-like growth factor-1 in coacervate-embedded composite hydrogels for enhanced cartilage regeneration in osteochondral defects

Exogenous dual delivery of progenitor cell population and therapeutic growth factors (GFs) is one of alternative tissue engineering strategies for osteochondral tissue regeneration. In the present study, an implantable dual delivery platform was developed using coacervates (Coa) (i.e., a tertiary complex of poly(ethylene argininylaspartate diglyceride) (PEAD) polycation, heparin, and cargo insulin-like growth factor-1 (IGF-1), in thiolated gelatin (gelatin-SH)/ poly(ethylene glycol) diacrylate (PEGDA) interpenetrating network (IPN) hydrogels. Since Coa is able to protect cargo GF and maintain its long-term bioactivity, it is speculated that Coa-mediated delivery of chondrogenic factor IGF-1 with the aid of adipose-derived stem cells (ADSCs) would synergistically facilitate osteochondral tissue repair during physiological regeneration process. Our results indicate that gelatin-SH/PEGDA IPN hydrogels demonstrated biocompatibility and mechanical properties for a possible long-term transplantation, and PEAD-base Coa exhibited a sustained release of bioactive IGF-1 over 3 weeks. Subsequently, released IGF-1 from Coa could effectively induce chondrogenic differentiation of embedded ADSCs in the hydrogel, by showing enhanced glycosaminoglycan deposition and expression of chondrogenesis-associated genes. More importantly, at 12 weeks post-implantation in a rabbit full thickness osteochondral defect model, the quality of regenerative tissues in both chondral and subchondral layers was significantly improved in dual delivery of ADSC and IGF-1 in Coa encapsulated in gelatin-SH/PEGDA IPN hydrogels, as compared with a single delivery of ADSC only and a dual delivery without Coa. Therefore, we conclude that our Coa-embedded composite hydrogel platform could effectively augment osteochondral tissue regeneration holds promise for a feasible osteoarthritis therapeutic application.

THE EFFECT OF AMMONIUM SULPHATE (ZA) FERTILIZER CONCENTRATION ON THE GROWTH OF MICROALGA POPULATION (Nannochloropsis oculata)

This research was conducted from 24 June to 6 July 2019 in the Regional Technical Implementation Unit of the Seawater and Brackish Aquaculture Fisheries Center (UPTD BPBALP Teluk Buo), West Sumatra. This study aim to determine the effect of Ammonium Sulfate ((NH4)2SO4) with different concentrations on the growth rate of Nannochloropsis oculata microalgae population. The method used in this study is an experimental method using a completely randomized design (CRD) one factor, namely ZA fertilizer concentration. There were 5 (five) levels concentration tested, namely 0 ml/L (control treatment), 30 ml/L (treatment A), 40 ml/L (treatment B), 50 ml/L (treatment C), and 60 ml/L (treatment D) total of 15 treatment units. The test organism in this study was N. oculata. The container used is a glass jar (2 liter capacity). The test parameters in this study are the maximum cell population density achieved during 5 days of maintenance (120 hours), relative growth, self-doubling time and specific growth rate during the exponential growth phase. The results of this study indicate that the best concentration of ZA fertilizer for cell population growth is 40 ml/L, followed by a concentration of 30 ml/L, a concentration of 50 ml/L, a concentration of 60 ml/L and the lowest at a concentration of 0 ml/L (control) .

Abstract B03: Differential YAP expression in glioma cells induces cell competition and promotes tumorigenesis

Abstract Intratumor heterogeneity associates with cancer progression and may account for a substantial portion of therapeutic resistance. Although extensive studies have focused on the origin of the heterogeneity, biologic interactions between heterogeneous malignant cells within a tumor are largely unexplored. Glioblastoma (GBM) is the most aggressive primary brain tumor. Here, we found that the expression of Yes-associated protein (YAP) is intratumorally heterogeneous in GBM. In a xenograft mouse model, differential YAP expression in glioma cells promotes tumorigenesis and leads to clonal dominance by cells expressing more YAP. Such clonal dominance also occurs in vitro when cells reach confluence in the two-dimensional culture condition or grow into tumor spheroids. During this process, growth of the dominant cell population is enhanced. In tumor spheroid, such enhanced growth is accompanied by increased apoptosis in cells expressing less YAP. The cellular interaction during clonal dominance appears to be reminiscent of cell competition. RNA-seq analysis suggested that the interaction induces expression of tumorigenic genes, which may contribute to the enhanced tumor growth. These results suggested that tumorigenesis benefits from competitive interactions between heterogeneous tumor cells. Citation Format: Zhijun Liu, Patricia P. Yee, Yiju Wei, Zhenqiu Liu, Yuka Imamura Kawasawa, Wei Li. Differential YAP expression in glioma cells induces cell competition and promotes tumorigenesis [abstract]. In: Proceedings of the AACR Special Conference on the Hippo Pathway: Signaling, Cancer, and Beyond; 2019 May 8-11; San Diego, CA. Philadelphia (PA): AACR; Mol Cancer Res 2020;18(8_Suppl):Abstract nr B03.

Loss of HDAC11 accelerates skeletal muscle regeneration in mice.

Histone deacetylase 11 (HDAC11) is the latest identified member of the histone deacetylase family of enzymes. It is highly expressed in brain, heart, testis, kidney, and skeletal muscle, although its role in these tissues is poorly understood. Here, we investigate for the first time the consequences of HDAC11 genetic impairment on skeletal muscle regeneration, a process principally dependent on its resident stem cells (satellite cells) in coordination with infiltrating immune cells and stromal cells. Our results show that HDAC11 is dispensable for adult muscle growth and establishment of the satellite cell population, while HDAC11 deficiency advances the regeneration process in response to muscle injury. This effect is not caused by differences in satellite cell activation or proliferation upon injury, but rather by an enhanced capacity of satellite cells to differentiate at early regeneration stages in the absence of HDAC11. Infiltrating HDAC11-deficient macrophages could also contribute to this accelerated muscle regenerative process by prematurely producing high levels of IL-10, a cytokine known to promote myoblast differentiation. Altogether, our results show that HDAC11 depletion advances skeletal muscle regeneration and this finding may have potential implications for designing new strategies for muscle pathologies coursing with chronic damage. DATABASE: Data were deposited in NCBI's Gene Expression Omnibus accessible through GEO Series accession number GSE147423.

Fluctuation relations and fitness landscapes of growing cell populations

We construct a pathwise formulation of a growing population of cells, based on two different samplings of lineages within the population, namely the forward and backward samplings. We show that a general symmetry relation, called fluctuation relation relates these two samplings, independently of the model used to generate divisions and growth in the cell population. These relations lead to estimators of the population growth rate, which can be very efficient as we demonstrate by an analysis of a set of mother machine data. These fluctuation relations lead to general and important inequalities between the mean number of divisions and the doubling time of the population. We also study the fitness landscape, a concept based on the two samplings mentioned above, which quantifies the correlations between a phenotypic trait of interest and the number of divisions. We obtain explicit results when the trait is the age or the size, for age and size-controlled models.

Genetic composition of an exponentially growing cell population

We study a simple model of DNA evolution in a growing population of cells. Each cell contains a nucleotide sequence which randomly mutates at cell division. Cells divide according to a branching process. Following typical parameter values in bacteria and cancer cell populations, we take the mutation rate to zero and the final number of cells to infinity. We prove that almost every site (entry of the nucleotide sequence) is mutated in only a finite number of cells, and these numbers are independent across sites. However independence breaks down for the rare sites which are mutated in a positive fraction of the population. The model is free from the popular but disputed infinite sites assumption. Violations of the infinite sites assumption are widespread while their impact on mutation frequencies is negligible at the scale of population fractions. Some results are generalised to allow for cell death, selection, and site-specific mutation rates. For illustration we estimate mutation rates in a lung adenocarcinoma.

Lie symmetries and conservation laws of the Fokker‐Planck equation with power diffusion

We concentrate on Lie symmetries and conservation laws of the Fokker‐Planck equation with power diffusion describing the growth of cell populations. First, we perform a complete symmetry classification of the equation, and then we find some interesting similarity solutions by means of the symmetries and the variable coefficient heat equation. Local dynamical behaviors are analyzed via the solutions for the growing cell populations. Second, we show that the conservation law multipliers of the equation take the form Λ=Λ(t,x,u), which satisfy a linear partial differential equation, and then give the general formula of conservation laws. Finally, symmetry properties of the conservation law are investigated and used to construct conservation laws of the reduced equations.

Garcinol Exhibits Anti-Neoplastic Effects by Targeting Diverse Oncogenic Factors in Tumor Cells.

Garcinol, a polyisoprenylated benzophenone, is the medicinal component obtained from fruits and leaves of Garcinia indica (G. indica) and has traditionally been extensively used for its antioxidant and anti-inflammatory properties. In addition, it has been also been experimentally illustrated to elicit anti-cancer properties. Several in vitro and in vivo studies have illustrated the potential therapeutic efficiency of garcinol in management of different malignancies. It mainly acts as an inhibitor of cellular processes via regulation of transcription factors NF-κB and JAK/STAT3 in tumor cells and have been demonstrated to effectively inhibit growth of malignant cell population. Numerous studies have highlighted the anti-neoplastic potential of garcinol in different oncological transformations including colon cancer, breast cancer, prostate cancer, head and neck cancer, hepatocellular carcinoma, etc. However, use of garcinol is still in its pre-clinical stage and this is mainly attributed to the limitations of conclusive evaluation of pharmacological parameters. This necessitates evaluation of garcinol pharmacokinetics to precisely identify an appropriate dose and route of administration, tolerability, and potency under physiological conditions along with characterization of a therapeutic index. Hence, the research is presently ongoing in the dimension of exploring the precise metabolic mechanism of garcinol. Despite various lacunae, garcinol has presented with promising anti-cancer effects. Hence, this review is motivated by the constantly emerging and promising positive anti-cancerous effects of garcinol. This review is the first effort to summarize the mechanism of action of garcinol in modulation of anti-cancer effect via regulation of different cellular processes.

Nonlinear Analysis for a Type-1 Diabetes Model with Focus on T-Cells and Pancreatic β-Cells Behavior

Type-1 diabetes mellitus (T1DM) is an autoimmune disease that has an impact on mortality due to the destruction of insulin-producing pancreatic β -cells in the islets of Langerhans. Over the past few years, the interest in analyzing this type of disease, either in a biological or mathematical sense, has relied on the search for a treatment that guarantees full control of glucose levels. Mathematical models inspired by natural phenomena, are proposed under the prey–predator scheme. T1DM fits in this scheme due to the complicated relationship between pancreatic β -cell population growth and leukocyte population growth via the immune response. In this scenario, β -cells represent the prey, and leukocytes the predator. This paper studies the global dynamics of T1DM reported by Magombedze et al. in 2010. This model describes the interaction of resting macrophages, activated macrophages, antigen cells, autolytic T-cells, and β -cells. Therefore, the localization of compact invariant sets is applied to provide a bounded positive invariant domain in which one can ensure that once the dynamics of the T1DM enter into this domain, they will remain bounded with a maximum and minimum value. Furthermore, we analyzed this model in a closed-loop scenario based on nonlinear control theory, and proposed bases for possible control inputs, complementing the model with them. These entries are based on the existing relationship between cell–cell interaction and the role that they play in the unchaining of a diabetic condition. The closed-loop analysis aims to give a deeper understanding of the impact of autolytic T-cells and the nature of the β -cell population interaction with the innate immune system response. This analysis strengthens the proposal, providing a system free of this illness—that is, a condition wherein the pancreatic β -cell population holds and there are no antigen cells labeled by the activated macrophages.

Morphofunctional Changes and Compensatory Mechanisms in the Human Brain with Aging and in Alzheimer's Disease

The article focuses on age-related morphofunctional changes in the human brain and the issue of compensatory-adaptive mechanisms developed in normal aging. According to the scientific literature, the volume of white matter is reduced to a greater extent with aging, the fact associating with myelin fibers degeneration, the appearance of Virchow–Robin spaces and a decrease in the effectiveness of the blood-brain barrier. Atrophic processes in gray matter are currently associated not only with the death of neurons, but with degenerative changes in synapses, a decrease in their number, and reduction of dendritic branches and spines. A decrease in the size of pericarions resulting in a decrease in the number of large neurocytes and an increase in the proportion of small neurons is noted in certain brain structures. However, age-related neuronal hypertrophy is observed in the nuclei of the hypothalamus, Meinert’s basal nucleus. This is mostly manifested in the female group, and is undoubtedly associated with a decrease in estrogen levels and the period of menopause. An increase in the metabolic activity of neurons manifested by related changes in the size of the pericarions and nuclei of neurons and their Golgi complex can be attributed to compensatory-adaptive mechanisms that can delay or prevent the development of neurodegenerative disorders, such as Alzheimer's disease. Neurons with a higher metabolic activity have better ability to self-repair. Due to this, neuron reactivation techniques are being developed with aging based on the selection of the correct stimulus. The growth of the glial cell population is also considered to be compensatory, since these cells are crucial for neuron adaptation and able to affect the level of neuronal RNA synthesis. Furthermore, the article highlights literature data on possible triggers of the compensatory capabilities of the brain with aging and under pathological processes.

Gut Microbial-Derived Metabolomics of Asthma.

In this review, we discuss gut microbial-derived metabolites involved with the origins and pathophysiology of asthma, a chronic respiratory disease that is influenced by the microbiome. Although both gut and airway microbiomes may be important in asthma development, we focus here on the gut microbiome and metabolomic pathways involved in immune system ontogeny. Metabolite classes with existing evidence that microbial-derived products influence asthma risk include short chain fatty acids, polyunsaturated fatty acids and bile acids. While tryptophan metabolites and sphingolipids have known associations with asthma, additional research is needed to clarify the extent to which the microbiome contributes to the effects of these metabolites on asthma. These metabolite classes can influence immune function in one of two ways: (i) promoting growth or maturity of certain immune cell populations or (ii) influencing antigenic load by enhancing the number or species of specific bacteria. A more comprehensive understanding of how gut microbes and metabolites interact to modify asthma risk and morbidity will pave the way for targeted diagnostics and treatments.

Combining in silico and in vitro models to inform cell seeding strategies in tissue engineering.

The seeding density of therapeutic cells in engineered tissue impacts both cell survival and vascularization. Excessively high seeded cell densities can result in increased death and thus waste of valuable cells, whereas lower seeded cell densities may not provide sufficient support for the tissue in vivo, reducing efficacy. Additionally, the production of growth factors by therapeutic cells in low oxygen environments offers a way of generating growth factor gradients, which are important for vascularization, but hypoxia can also induce unwanted levels of cell death. This is a complex problem that lends itself to a combination of computational modelling and experimentation. Here, we present a spatio-temporal mathematical model parametrized using in vitro data capable of simulating the interactions between a therapeutic cell population, oxygen concentrations and vascular endothelial growth factor (VEGF) concentrations in engineered tissues. Simulations of collagen nerve repair constructs suggest that specific seeded cell densities and non-uniform spatial distributions of seeded cells could enhance cell survival and the generation of VEGF gradients. These predictions can now be tested using targeted experiments.

Turbidimetric analysis of growth kinetics of bacteria in the laboratory environment using smartphone.

For different microbiological and pathological studies, it is often required to monitor the growth of bacteria in a cultured medium in the laboratory environment. UV-VIS spectrophotometer is commonly used to estimate the growth of bacterial cell population by measuring the absorbance at 600 nm over a period of time. Colony-forming unit (CFU) is another approach, which has been routinely performed to estimate the live bacterial cells on semisolid agar plates. Herein, we demonstrate an alternative yet highly reliable sensing platform on a smartphone using which growth kinetics of different bacteria can be reliably monitored. The performance of the proposed smartphone sensor has been compared with the data obtained from OD600 and CFU analysis. A good correlation of bacterial growth rates enumerated based on the proposed smartphone sensor, bench-top spectrophotometer and CFU analysis have been observed under the experimental conditions.