Basic Functional Unit Research Articles

8795 Impact of Retinoic Acid Receptor Alpha Conditional Knockout on Ovarian Follicle Development in the Mouse

Abstract Disclosure: Z. Bogin: None. A. Keisker: None. A. Urbanowski: None. C. White: None. J.L. Kipp: None. The ovaries are the primary endocrine and reproductive organs in females. The ovarian follicle is the basic structural and functional unit of the ovary. When there is abnormal development in ovarian follicles, infertility and reproductive diseases such as polycystic ovarian syndrome (PCOS), premature ovarian failure (POF), and ovarian cancers may occur. Retinoic acid (RA), a biologically active derivative of vitamin A, is a signaling molecule that plays a vital role in various physiological processes, including embryonic development, tissue differentiation, and reproduction. We have shown that RA stimulates granulosa cell proliferation through a cell signaling cascade involving Retinoic Acid Receptors (RARs), which have three isoforms alpha, beta, and gamma. In this study, we characterized a new retinoic acid receptor alpha conditional knockout (RARA cKO) mouse model with RARA deleted in granulosa cells during embryonic development. The body weight and uterus weight of the RARA cKO mice were decreased at week 7 but returned to normal at week 15 and 12 months. The animals were either sub-fertile or infertile with phenotypic evidence of POF. In addition, a variety of ovarian pathologies were observed, including the presence of hemosiderin, increased cyst formation, and abnormal follicle counts. Overall, this study provides evidence of the involvement of retinoic acid signaling, mediated by RARA, in ovarian development and fertility. This study will help to better understand the prevention and treatment of ovarian diseases. Presentation: 6/2/2024

8795 Impact of Retinoic Acid Receptor Alpha Conditional Knockout on Ovarian Follicle Development in the Mouse

Abstract Disclosure: Z. Bogin: None. A. Keisker: None. A. Urbanowski: None. C. White: None. J.L. Kipp: None. The ovaries are the primary endocrine and reproductive organs in females. The ovarian follicle is the basic structural and functional unit of the ovary. When there is abnormal development in ovarian follicles, infertility and reproductive diseases such as polycystic ovarian syndrome (PCOS), premature ovarian failure (POF), and ovarian cancers may occur. Retinoic acid (RA), a biologically active derivative of vitamin A, is a signaling molecule that plays a vital role in various physiological processes, including embryonic development, tissue differentiation, and reproduction. We have shown that RA stimulates granulosa cell proliferation through a cell signaling cascade involving Retinoic Acid Receptors (RARs), which have three isoforms alpha, beta, and gamma. In this study, we characterized a new retinoic acid receptor alpha conditional knockout (RARA cKO) mouse model with RARA deleted in granulosa cells during embryonic development. The body weight and uterus weight of the RARA cKO mice were decreased at week 7 but returned to normal at week 15 and 12 months. The animals were either sub-fertile or infertile with phenotypic evidence of POF. In addition, a variety of ovarian pathologies were observed, including the presence of hemosiderin, increased cyst formation, and abnormal follicle counts. Overall, this study provides evidence of the involvement of retinoic acid signaling, mediated by RARA, in ovarian development and fertility. This study will help to better understand the prevention and treatment of ovarian diseases. Presentation: 6/2/2024

A study on loading multiple epitopes with a single peptide.

Epitopes, the basic functional units of antigens, hold great significance in the field of immunology. However, the structure and composition of epitopes and their interactions with antibodies remain unclear, which limits in-depth studies on epitopes and the development of subunit vaccines. In a previous study on the localization of anti-influenza HA monoclonal antibodies (mAbs), three strains with different characteristics reacted with the same peptide. In this study, by conventional immunological assays, computer homology modeling, and molecular docking simulations, we found that (1) the peptide could bind to three strains of mAbs with different reaction characteristics utilizing different combinations of immunodominant groups. (2) By computer molecular docking and simulation methods, the immunodominant groups on the two peptides could be combined into a multi-epitope peptide bound to six strains of mAbs. We established a method for multi-epitope peptide recombination from these immunodominant groups. (3) The immune effect of the recombinant multi-epitope peptide was better than that of a single peptide. Our findings facilitate the understanding of the composition of antigen epitopes and provide a theoretical and experimental basis for developing polyvalent vaccines and understanding immune responses at the molecular level.

Multidepth quantitative analysis of liver cell viscoelastic properties: Fusion of nanoindentation and finite element modeling techniques.

Liver cells are the basic functional unit of the liver. However, repeated or sustained injury leads to structural disorders of liver lobules, proliferation of fibrous tissue and changes in structure, thus increasing scar tissue. Cellular fibrosis affects tissue stiffness, shear force, and other cellular mechanical forces. Mechanical force characteristics can serve as important indicators of cell damage and cirrhosis. Atomic force microscopy (AFM) has been widely used to study cell surface mechanics. However, characterization of the deep mechanical properties inside liver cells remains an underdeveloped field. In this work, cell nanoindentation was combined with finite element analysis to simulate and analyze the mechanical responses of liver cells at different depths in vitro and their internal responses and stress diffusion distributions after being subjected to normal stress. The sensitivities of the visco-hyperelastic parameters of the finite element model to the effects of the peak force and equilibrium force were compared. The force curves of alcohol-damaged liver cells at different depths were measured and compared with those of undamaged liver cells. The inverse analysis method was used to simulate the finite element model in vitro. Changes in the parameters of the cell model after injury were explored and analyzed, and their potential for characterizing hepatocellular injury and related treatments was evaluated. RESEARCH HIGHLIGHTS: This study aims to establish an in vitro hyperelastic model of liver cells and analyze the mechanical changes of cells in vitro. An analysis method combining finite element analysis model and nanoindentation was used to obtain the key parameters of the model. The multi-depth mechanical differences and internal structural changes of injured liver cells were analyzed.

Template models of silicon carbide JFETs and their practical applications in high-temperature analog chip design problems in LTspice environment

Modern achievements of leading microelectronic firms in the field of designing operational amplifiers (Op-Amp) and their functional units based on silicon carbide, designed for operation in the temperature range up to 300-600 °C, are analyzed. Numerical values of the parameters of existing high-temperature operational amplifiers, created for space missions of NASA Research Center named after Gallen, on the open-circuit voltage gain, the systematic component of the zero offset voltage, the frequency of single gain, the maximum rate of increase of the output voltage, the coefficient of attenuation of input in-phase signals and the coefficient of suppression of interference on the power supply rails, as well as information on the experimental characteristics of Op-Amps during long-term operation at high temperatures and exposure to radiation. To model circuits at temperatures up to 450 °C, template models of SiC transistors (TM) have been developed using the template modeling technique, in which constant model parameters are replaced by fractional-rational functions (Padé approximation), allowing to describe more accurately the physical processes in JFETs without violating the nature of their changes. For the freely distributable modeling environment LTspice the instruction for application of the TM is developed. Circuit solutions of high-temperature basic analog functional units realized on the basis of silicon carbide field-effect transistors are considered. The basic characteristics of SiC source repeaters, SiC differential stages and the simplest SiC operational amplifiers based on them at temperatures of 25 °C and 452 °C are investigated. The obtained results are recommended to be used in the design of high-temperature operational and instrumental amplifiers in space instrumentation, deep well drilling, automotive industry, nuclear reactors, etc.

High – Speed and Low Area-Efficient VLSI Architecture of Three-Operand Binary Adder

Three-operand binary adder is the basic functional unit to perform the modular arithmetic in various cryptography and Pseudo Random Bit Generator (PRBG) algorithms and also used in many applications. Carry Save Adder (CS3A) is the widely used technique to perform the three- operand addition. In carry save adder at final stage uses ripple carry adder which will cause large critical path delay. Moreover, a parallel prefix two-operand adder such as Han-Carlson Adder (HCA) can also be used for three-operand addition that significantly reduces the critical path delay with more area complexity. Hence, a new high-speed and area-efficient adder architecture is proposed using pre-compute bitwise addition followed by carry prefix computation logic to perform the three-operand binary addition that consumes substantially less area and less delay. The effectiveness of the proposed method is designed using Xilinx ISE 14.7

Enhancing Intramolecular Ferromagnetic Coupling in Tetrathiafulvalene-Nitronyl Nitroxide-Based Compounds through Spin Polarization Mechanism.

Spin-polarized donor radicals based on tetrathiafulvalene (TTF) derivatives and nitronyl nitroxide (NN) radicals in which one-electron oxidation involves the HOMO instead of the SOMO are well known for exhibiting magnetoresistance. In particular, BTBN consists of one dibromo-TTF and one NN radical, which are linked by a phenyl coupler group. One of the key factors driving magnetoresistance is the presence of intramolecular ferromagnetic (FM) coupling between the oxidized π-donor (TTF+⋅, D unit) and NN (R unit). Here, a theoretical study is carried out to assess suitable candidates with enhanced FM coupling with respect BTBN, which is thus used as a reference. The study is conducted via in silico chemical modification of the substituents of the BTBN basic functional units (D and R radicals, C coupler) to benefit from the spin polarization mechanism to boost the intramolecular FM coupling, aiming to distort the BTBN radical arrangement within the molecular crystal as little as possible, in the event the material can be synthesized. NICSiso(1) and Wiberg's Bond Order are analyzed to further assist in identifying promising potential candidates, since the decrease in aromaticity is expected to enhance the diradical character and give rise to a larger magnetic coupling value. The most favorable diradical building block to replace the BTBN moiety results from using a hydroxyl-ethylene (-(H)C=C(OH)-) as a coupler preserving BTBN original radicals, namely, NN and TTF+⋅ units. This study aims at illustrating the feasibility of improving the intramolecular FM interaction between radical moieties, which is fully realized, as a first step towards the synthesis of new materials with (possibly) enhanced magnetoresistance properties.

478 Single-Neuron and Columnar Computations in the Human Prefrontal Cortex Underlying Transformations From Conscious Visual Perception to Speech Production

INTRODUCTION: The basic functional unit of the mammalian neocortex is the cortical column. It consists of a vast diversity of circuit elements and interconnected layers supporting a range of computations for cognitive functions. While much progress has been made in our understanding of its functional architecture in animal models, its role in complex, uniquely human cognitive processes remain unknown. METHODS: We utilized a new columnar recording approach in humans participating of cognitive tasks, while undergoing awake neurosurgical procedures. The novelty of this approach hinged on utilizing state-of-the-art Neuropixels probes for our recordings, a silicon-based electrophysiology recording electrodes with high channel count and recording site density. This technology allows us to measure neural activity with single cell resolution throughout the neocortical column and its layers, and at a scale that is far beyond the capabilities of current clinically-approved devices. The participants performed a naturalistic visual priming-based sentence production task that provided them with pictorial representations of events that had to be articulated in specific form and order. RESULTS: We observed distinct spatiotemporal activity dynamics throughout the cortical column in the language-dominant prefrontal cortex that encoded a preparatory mode for speech generation, as well as visual perception and sentence construction processing stages during natural speech. Furthermore, we observed the emergence of this columnar activity pattern with optimal visual inspection of presented images (by high resolution eye and pupil tracking) and associated improved performance during the task. CONCLUSIONS: These results highlight a functional organization of the cortical column in the human prefrontal cortex subserving sensory-motor transformations for visual conscious perception and speech production, with profound implications for future brain machine interfaces that aim to restore complex human cogntive functions.

Microscale tissue engineering of liver lobule models: advancements and applications.

The liver, as the body's primary organ for maintaining internal balance, is composed of numerous hexagonal liver lobules, each sharing a uniform architectural framework. These liver lobules serve as the basic structural and functional units of the liver, comprised of central veins, hepatic plates, hepatic sinusoids, and minute bile ducts. Meanwhile, within liver lobules, distinct regions of hepatocytes carry out diverse functions. The in vitro construction of liver lobule models, faithfully replicating their structure and function, holds paramount significance for research in liver development and diseases. Presently, two primary technologies for constructing liver lobule models dominate the field: 3D bioprinting and microfluidic techniques. 3D bioprinting enables precise deposition of cells and biomaterials, while microfluidics facilitates targeted transport of cells or other culture materials to specified locations, effectively managing culture media input and output through micro-pump control, enabling dynamic simulations of liver lobules. In this comprehensive review, we provide an overview of the biomaterials, cells, and manufacturing methods employed by recent researchers in constructing liver lobule models. Our aim is to explore strategies and technologies that closely emulate the authentic structure and function of liver lobules, offering invaluable insights for research into liver diseases, drug screening, drug toxicity assessment, and cell replacement therapy.

ECOLOGY AND THE PANCHAMAHA YAJNAS

In the huma history the early society were very close to the enviornment for survival. All living organisms and their environment are mutually reactive and affecting each other in various way. In the modern science ecology, one of the branch of biology with deals with the various principles of enviornment. The eco system is a basic functional unit of ecology and it includes biotic and a biotic thinks which influencing each other. The ecological thoughts are deeply described in the ancient literature and scientific writings. Similarly ancient Indian literature also mentioned the ecological ideas and its importance. Among these the performance of Panchamaha Yajnas is more important for the existence of the world.

Bionic digital brain realizing the digital twin-cutting process

A digital twin (DT) is an effective means of achieving physical and information fusion and has great potential for achieving a new paradigm of cutting process (CP) intelligence. This paper traces the relevant studies of digital technology in manufacturing and proposes a bionic digital brain (BDB) as the intelligent core of a digital twin-cutting process (DTCP) framework. The BDB was built with digital neurons (DN) as the basic functional unit, and the reaction mechanism between the DN stimulated the BDB to compute intelligently in real time (RT). The left brain obtains the prophetic theoretical processing information through the DN. The right brain receives actual perceptive processing information through the DN. After the corpus callosum fuses the left and right brain information, the DN outputs the optimal control solutions in RT to ensure demand. The details of monitoring, predicting, optimizing, and controlling the CP based on this framework are described in detail through a case study, demonstrating the powerful information processing capability of the BDB and the RT precision intelligent machining effects. The developed DTCP system confirmed the feasibility and effectiveness of the proposed framework. It provided a theoretical and technical reference for applying and promoting DT technology in the CP.

Tweezer PCR: A Highly Specific Method for Accurate Identification of Low-Abundance Mutations.

Somatic mutation is a valuable biomarker for tracking tumor progression and migration due to its distinctive feature in various tumors and its wide distribution throughout body fluids. However, accurately detecting somatic mutations from the abundant DNA of noncancerous origins remains a practical challenge in the clinic. Herein, we developed an ultraspecific method, called tweezer PCR, for detecting low-abundance mutations inspired by the design of DNA origami. The high specificity of tweezer PCR relies on a tweezer-shaped primer containing six basic functional units: a primer, a hairpin, a linker, a blocker, a spacer, and a toehold. After optimizing the structure of the tweezer-shaped primer and enhancing its specificity by adding additional Mg2+ and Na+, tweezer PCR distinguished as low as 20 copies of mutations from 2 million copies of wild-type templates per test. By testing synthesized plasmids and plasma samples gathered from nonsmall-cell lung cancer patients, tweezer PCR showed higher specificity and robustness for detecting low-copy-number mutations in contrast with digital droplet PCR. Additionally, the need for conventional instruments makes tweezer PCR a practically accessible method for testing low-abundance mutations. Because of its numerous advantages, we believe that tweezer PCR offers a precise, robust, and pragmatic tool for cancer screening, prognosis, and genotyping in the clinic.

Jewish Genetic Diseases

What makes you, you? Your genes. Every human has a unique genetic code made of genes. Genes are the basic physical and functional unit of heredity and are made of DNA. Each gene ranges from a few hundred DNA bases to more than 2 million. A human being has between 20,000 to 25,000 genes. Each person inherits two copies of each gene, one copy from the mother and the other from the father. Most of our genes are the same; less than one percent of genes differ between people. These differing components are known as alleles. Alleles are forms of the same gene but with small differences in their DNA bases, and alleles are what make each one of us unique. One’s genotype is the internal, inherited genetic code inside all living organisms. A phenotype is the outside, physical manifestation of those genes. Phenotype examples include skin, eye, and hair color. They are related to all that is physical, functional, or behavioral [1,2].

ROCK1 is a multifunctional factor maintaining the primordial follicle reserve and follicular development in mice.

The follicle is the basic structural and functional unit of the ovary in female mammals. The excessive depletion of follicles will lead to diminished ovarian reserve or even premature ovarian failure, resulting in diminished ovarian oogenesis and endocrine function. Excessive follicular depletion is mainly due to loss of primordial follicles. Our analysis of published human ovarian single-cell sequencing results by others revealed a significant increase in rho-associated protein kinase 1 (ROCK1) expression during primordial follicle development. However, the role of ROCK1 in primordial follicle development and maintenance is not clear. This study revealed a gradual increase in ROCK1 expression during primordial follicle activation. Inhibition of ROCK1 resulted in reduced primordial follicle activation, decreased follicular reserve, and delayed development of growing follicles. This effect may be achieved through the HIPPO pathway. The present study indicates that ROCK1 is a key molecule for primordial follicular reserve and follicular development.NEW & NOTEWORTHY ROCK1, one of the Rho GTPases, plays an important role in primordial follicle reserve and follicular development. ROCK1 was primarily expressed in the cytoplasm of oocytes and granulosa cell in mice. Inhibition of ROCK1 significantly reduced the primordial follicle reserve and delayed growing follicle development. ROCK1 regulates primordial follicular reserve and follicle development through the HIPPO signaling pathway. These findings shed new lights on the physiology of sustaining female reproduction.

Design of High-Speed Area-Efficient VLSI Architecture of 32-Bit Three-Operand Binary Adder

Abstract: Adders are one of the most widely used digital components in digital integrated circuit design. With the advances in technology, the design that offers either high speed, low power consumption, less area, or a combination of them is designed. There are various processes performed by the digital circuits among which arithmetic operations are prominent. Three-operand binary adder is the basic functional unit to perform the modular arithmetic in various cryptography and pseudorandom bit generator (PRBG) algorithms. Carry save adder (CS3A) is the widely used technique to perform the three-operand addition. However, the ripple carry stage in the CS3A leads to a high propagation delay. Moreover, a parallel prefix two-operand adder such as Han-Carlson (HCA) can also be used for three-operand addition, significantly reducing the critical path delay at the cost of additional hardware. Hence, a new high-speed and area-efficient adder architecture is designed using pre-compute bitwise addition followed by carry prefix computation logic to perform the three-operand binary addition that consumes substantially less area, low power, and drastically reduces the adder delay. To design a faster computing system with less hardware we require some other architecture. The proposed architecture will reduce the area as well as the delay by replacing the Han-Carlson adder with the Ladner fisher adder in a Highspeed area-efficient three-operand binary adder. The proposed architecture is synthesized with the zynq-7000 library. The proposed architecture reduces the LUT count and delay by 20 and 0.4 nanoseconds respectively. By using these synthesis results, we noted the performance parameters like the number of LUTs and delay. We compared the adders in terms of LUTs (represents area) and delay value

Dynamic DNA nanomachines for amplification imaging of diseased cells based on stimuli-responsive mechanism

As a basic functional unit, living cell with sophisticated structures play an indispensable role in life activities. Since the abnormality of important molecules inside cells is closely related to diseases, the dynamic analysis and spatio-temporal monitoring of specific molecules in living cells can provide precious information for the diagnosis and treatment of diseases. More recently, DNA has not only been recognized as the carrier of genetic information, but has also used as a robust building block for the assembly of multitudinous nanoscale structures due to the intrinsic advantages of high programmability of classic Watson–Crick base-pairing rule. Intensive study promotes the rapid progress of nanotechnology in various fields, such as bioimaging, diagnosis, and therapeutics. Among numerous well-defined DNA nanomaterials, DNA nanomachines have been widely exploited in cell imaging owing to their desirable ability to achieve high-resolution temporal and spatial images in response to endogenous or exogenous stimuli. In brief, elaborate DNA nanomachines can undergo structural changes upon the stimuli of target analytes or environmental factors, resulting in rapid increase or reduction of output signals and thereby indirectly reflecting the expression level of targets. DNA nanomachines with high sensitivity and specificity contribute to the recognition of diseased tissues. In this review, we introduce the basic assembly modules of DNA nanomachines and summarize the recent advances in dynamic DNA nanomachines for diseased-cell imaging. Finally, the current challenges and future directions of DNA nanomachines for bioimaging are discussed.

Functionalization of biomimetic mineralized collagen for bone tissue engineering.

Mineralized collagen (MC) is the basic unit of bone structure and function and is the main component of the extracellular matrix (ECM) in bone tissue. In the biomimetic method, MC with different nanostructures of neo-bone have been constructed. Among these, extra-fibrous MC has been approved by regulatory agencies and applied in clinical practice to play an active role in bone defect repair. However, in the complex microenvironment of bone defects, such as in blood supply disorders and infections, MC is unable to effectively perform its pro-osteogenic activities and needs to be functionalized to include osteogenesis and the enhancement of angiogenesis, anti-infection, and immunomodulation. This article aimed to discuss the preparation and biological performance of MC with different nanostructures in detail, and summarize its functionalization strategy. Then we describe the recent advances in the osteo-inductive properties and multifunctional coordination of MC. Finally, the latest research progress of functionalized biomimetic MC, along with the development challenges and future trends, are discussed. This paper provides a theoretical basis and advanced design philosophy for bone tissue engineering in different bone microenvironments.

The concepts and origins of cell mortality

Organismal death is foundational to the evolution of life, and many biological concepts such as natural selection and life history strategy are so fashioned only because individuals are mortal. Organisms, irrespective of their organization, are composed of basic functional units—cells—and it is our understanding of cell death that lies at the heart of most general explanatory frameworks for organismal mortality. Cell death can be exogenous, arising from transmissible diseases, predation, or other misfortunes, but there are also endogenous forms of death that are sometimes the result of adaptive evolution. These endogenous forms of death—often labeled programmed cell death, PCD—originated in the earliest cells and are maintained across the tree of life. Here, we consider two problematic issues related to PCD (and cell mortality generally). First, we trace the original discoveries of cell death from the nineteenth century and place current conceptions of PCD in their historical context. Revisions of our understanding of PCD demand a reassessment of its origin. Our second aim is thus to structure the proposed origin explanations of PCD into coherent arguments. In our analysis we argue for the evolutionary concept of PCD and the viral defense-immunity hypothesis for the origin of PCD. We suggest that this framework offers a plausible account of PCD early in the history of life, and also provides an epistemic basis for the future development of a general evolutionary account of mortality.

Scrutinizing the feasibility of macroscopic quantum coherence in the brain: a field-theoretical model of cortical dynamics

The neural activity patterns associated with advanced cognitive processes are characterized by a high degree of collective organization, which raises the question of whether macroscopic quantum phenomena play a significant role in cortical dynamics. In order to pursue this question and scrutinize the feasibility of macroscopic quantum coherence in the brain, a model is developed regarding the functioning of microcolumns, which are the basic functional units of the cortex. This model assumes that the operating principle of a microcolumn relies on the interaction of a pool of neurotransmitter (glutamate) molecules with the vacuum fluctuations of the electromagnetic field, termed zero-point field (ZPF). Quantitative calculations reveal that the coupling strength of the glutamate pool to the resonant ZPF modes lies in the critical regime in which the criterion for the initiation of a phase transition is fulfilled, driving the ensemble of initially independent molecules toward a coherent state and resulting in the formation of a coherence domain that extends across the full width of a microcolumn. The formation of a coherence domain turns out to be an energetically favored state shielded by a considerable energy gap that protects the collective state against thermal perturbations and entails decoherence being greatly slowed down. These findings suggest that under the special conditions encountered in cortical microcolumns the emergence of macroscopic quantum phenomena is feasible. This conclusion is further corroborated by the insight that the presence of a coherence domain gives rise to downstream effects which may be crucial for the cortical communication and the formation of large-scale activity patterns. Taken together, the presented model sheds new light on the fundamental mechanism underlying cortical dynamics and suggests that long-range synchronization in the brain results from a bottom-up orchestration process involving the ZPF.

A review of advances in aptamer-based cell detection technology.

Since cells are the basic structural and functional units of organisms, the detection or quantitation of cells is one of the most common basic problems in life science research. The established cell detection techniques mainly include fluorescent dye labeling, colorimetric assay, and lateral flow assay, all of which employ antibodies as cell recognition elements. However, the widespread application of the established methods generally dependent on antibodies is limited, because the preparation of antibodies is complicated and time-consuming, and unrecoverable denaturation is prone to occur with antibodies. By contrast, aptamers that are generally selected through the systematic evolution of ligands by exponential enrichment can avoid the disadvantages of antibodies due to their controllable synthesis, thermostability, and long shelf life, etc. Accordingly, aptamers may serve as novel molecular recognition elements like antibodies in combination with various techniques for cell detection. This paper reviews the developed aptamer-based cell detection methods, mainly including aptamer-fluorescent labeling, aptamer-isothermal amplification assay, electrochemical aptamer sensor, aptamer-based lateral flow analysis, and aptamer-colorimetric assay. The principles, advantages, progress of application in cell detection and future development trend of these methods were specially discussed. Overall, different assays are suitable for different detection purposes, and the development of more accurate, economical, efficient, and rapid aptamer-based cell detection methods is always on the road in the future. This review is expected to provide a reference for achieving efficient and accurate detection of cells as well as improving the usefulness of aptamers in the field of analytical applications.