Microbiology vs. Cell Biology: Key Differences

By Dr. Zubair Khalid, DVM, MS, PhD · 2026-11-10

Microbiology asks which organism is present, how many there are, and what stops it from growing, while cell biology asks how a single cell is built and how it responds to signals, stress, or drugs.

The rule of thumb is simple. If the answer to your question changes when you swap the organism, you are doing microbiology. If the answer changes when you swap the host cell type, you are doing cell biology.

The two fields are confused constantly because they share equipment. Both use incubators, biosafety cabinets, plate readers, quantitative PCR machines, and flow cytometers. A microbiology laboratory grows viruses in animal cells, and a cell biology laboratory fights mycoplasma contamination with microbiology techniques. The overlap is real, but the questions are not the same, and the reference standards that make an answer defensible are not the same either.

Side-by-Side Comparison

A second table helps sort real questions faster than any definition.

Microbiology on Its Own Terms

Microbiology is the study of organisms that need magnification to be seen and identified. The word describes a category of object, not a category of technique. A microbiologist may spend the day at a culture bench, a mass spectrometer, a sequencing instrument, or a plate reader, and all of that work is still microbiology.

What Counts as a Microorganism

The list is broader than most people expect. It includes bacteria and archaea, which are prokaryotes without a membrane-bound nucleus. It includes fungi, both yeasts and molds, which are eukaryotes with cell walls built largely from chitin and glucans. It includes protozoa such as Leishmania and Giardia, and the diagnostic stages of helminths such as eggs and larvae. It includes viruses, which are not cells at all and cannot replicate without a host. It includes prions, which are misfolded proteins with no genome.

That breadth matters when you choose a field. Parasitology and mycology sit inside microbiology even though the organisms are eukaryotes, because the diagnostic workflow (stain, culture, microscopy, antigen detection, susceptibility) is a microbiology workflow. A parasitology bench may use the same microscopes and antigen assays as a bacteriology bench.

The Bench Workflow

Clinical microbiology runs on a fixed sequence. Specimen collection and transport come first, because a swab that dries out or a urine sample left at room temperature gives a false answer no matter how good the laboratory is. Next comes direct examination, which may include a Gram stain (crystal violet, iodine, alcohol decolorization, safranin counterstain), a wet mount, or a fluorescent stain. Then isolation on selective and differential media, followed by identification.

Identification today is fast. Matrix-assisted laser desorption ionization time-of-flight mass spectrometry returns a species-level answer from a single colony in minutes. Molecular methods (real-time PCR, 16S ribosomal RNA gene sequencing for bacteria, internal transcribed spacer sequencing for fungi, whole-genome sequencing for outbreak typing) cover organisms that do not grow or that grow too slowly to wait for.

The last step is the one that changes patient care. Susceptibility testing converts an identification into a treatment decision, and it is where microbiology becomes a quantitative discipline.

Susceptibility Testing Is Where Microbiology Gets Its Numbers

The reference method is broth microdilution, which exposes a standardized inoculum to doubling dilutions of an antimicrobial and reports the lowest concentration that visibly inhibits growth. That value is the minimum inhibitory concentration, or MIC.

Commercial methods approximate that reference. A 2026 evaluation of four commercial aztreonam-avibactam susceptibility products made the point precisely [1]. The study used 56 carbapenem-resistant Enterobacterales isolates enriched for nonsusceptible and breakpoint-adjacent MICs, tested across two independent clinical laboratories and three Mueller-Hinton agar manufacturers. Two products were gradient diffusion strips (bioMérieux Etest and Liofilchem MIC Test Strip) and two were disk diffusion tests (Hardy and Liofilchem). Against broth microdilution, essential agreement reached 92.6% for the bioMérieux gradient strip and 89.6% for the Liofilchem strip, while categorical agreement ranged from 81.5% to 89.3% across all four products. Every categorical discrepancy was a minor error, and those errors clustered almost entirely among breakpoint-adjacent isolates [1].

Two lessons follow. The method is part of the result, so a MIC from a gradient strip and a MIC from broth microdilution are not interchangeable at the breakpoint. And the medium is part of the result, which is why the study varied agar manufacturers deliberately.

Minimum Inhibitory Versus Minimum Fungicidal

Inhibition and killing are different endpoints. A 2026 study of kombucha-synthesized silver nanoparticles made the distinction explicit [2]. The particles were spherical and 19.4 nm in diameter with a standard deviation of 7.9 nm, capped with phenolic and carboxylate groups confirmed by Fourier-transform infrared spectroscopy. Against eight Candida species, including the WHO critical-priority pathogen Candidozyma auris, the minimum inhibitory concentration and the minimum fungicidal concentration were concordant at 0.80 to 1.60 µg/mL. The compound stopped growth and killed the organism at the same concentration [2].

That kind of pairing is normal in microbiology. A compound that inhibits at 1 µg/mL but only kills at 64 µg/mL is described very differently in a paper than one where the two values match.

Diagnostic Microbiology Uses Antigens and Antibodies

Serology and antigen detection sit firmly inside microbiology. A 2026 pilot study of tegumentary leishmaniasis compared a recombinant Leishmania endonuclease III protein and two predicted B-cell epitopes against a soluble Leishmania antigen extract in an ELISA format, using paired serum and urine from 175 patients [3]. In serum, sensitivity was 100% for the recombinant protein and both peptides against 85.0% for the crude extract, and specificity was 100%, 100%, and 96.6% against 67.3% for the extract. Urine-based testing held up similarly, with 100% sensitivity for the protein and peptides and 91.5% specificity for the extract [3].

The design details matter more than the headline numbers. Paired samples from the same patients let the authors compare matrices directly, and the recombinant antigen removed the batch variability that comes with a crude parasite extract. That is a microbiology argument about reagent definition, not a cell biology argument about mechanism.

Microbial Ecology and the Microbiome

Microbiology also studies communities. A 2026 comparison of Bermuda feral chickens and commercial Cobb 500 broilers measured microbiota composition, intestinal Toll-like receptor gene expression, and intestinal histology in the same birds [4]. Feral chickens carried greater microbial diversity and a higher proportion of Gram-negative bacteria (31% versus 8.2% in commercial broilers). Ileal TLR4 and TLR5 expression was higher in feral birds and correlated with Gram-negative and flagellated Proteobacteria respectively, while hepatic TLR expression was higher in the commercial birds. Intestinal Scoring Index values were higher in feral chickens, with thicker lamina propria, goblet cell proliferation, and a stronger mucosal inflammatory response, while commercial birds showed minimal mucosal inflammation and more hepatic lymphocytic aggregation and congestion [4].

This is a hybrid study by design. The community profiling is microbiology, the host gene expression is cell and tissue biology, and the histology is pathology. It also shows the standard trap of microbiome work: relative abundance describes proportions, not absolute loads.

Virology Borrows the Host Cell

Viruses cannot be cultured without cells, so virology depends on cell culture hardware while remaining a microbiology discipline. A 2026 antiviral study tested methanol and aqueous extracts from two Cuscuta species against herpes simplex virus type 1, an acyclovir-resistant strain of herpes simplex virus type 2 (strain DD), human coronavirus 229E, and SARS-CoV-2 [5]. The work used MDBK, VERO E6 clone 76, and BGM cell lines, with the MTT test for cytotoxicity and the plaque-forming method for viral inhibition, and high-performance liquid chromatography coupled to mass spectrometry to profile the extracts. Some methanol extracts inhibited both replication and extracellular virions of the acyclovir-resistant HSV-2 strain and SARS-CoV-2 [5].

Viral entry is a second place where the two fields meet. A 2026 structural analysis of SARS-CoV-2 spike subunits described how cleavage at the S1|S2 site can occur either at the host plasma membrane (the early pathway) or inside the endosomal membrane (the late pathway), with the route determined by the host cell type. The authors built and compared spike models using Cn3D and analyzed sequences with PiTou [6]. The virus supplies the protein. The host cell supplies the proteases, the receptor, and the trafficking route. Neither field can explain the outcome alone.

Immunology of Infection

Chronic viral infection reshapes immune cell phenotypes, and measuring that reshaping requires flow cytometry and cell markers. A 2026 analysis of 100 people with HIV examined PD-1 and PD-L1 expression on CD4+ T cells and CD19+ B cells in relation to hepatitis B contact, hepatitis C status, and cytomegalovirus IgG serostatus [7]. Hepatitis B contact and cytomegalovirus serostatus produced no reproducible differences. The global comparison of longitudinal CD4+ T-cell PD-L1 change across hepatitis C groups did not survive false-discovery-rate correction, and only an exploratory pairwise comparison suggested a greater increase in participants with baseline hepatitis C RNA positivity [7].

The result is a useful model of restraint. An exploratory signal was reported as exploratory, which is how immunology and infection biology should handle a finding that needs prospective validation.

Cell Biology on Its Own Terms

Cell biology is the study of how cells are built and how they behave. It covers the plasma membrane and its transport systems, the organelles (nucleus, mitochondria, endoplasmic reticulum, Golgi apparatus, lysosomes, peroxisomes), the cytoskeleton (actin, microtubules, intermediate filaments), the cell cycle and its checkpoints, signal transduction cascades, metabolism, apoptosis, autophagy, vesicle trafficking, adhesion, migration, differentiation, and senescence.

Cells as Experimental Systems

Cell biology has two broad experimental platforms. Immortalized cell lines divide indefinitely and give reproducible results, at the cost of being abnormal. Primary cells are isolated from tissue and behave more like the parent tissue, at the cost of limited lifespan and variable yield. Stem cells and organoids sit between the two and add differentiation potential.

Every one of those platforms carries obligations that a microbiology bench does not have. Passage number must be recorded because phenotype drifts. Cell identity should be verified because lines get mislabeled and cross-contaminated. Mycoplasma testing is routine because a silent infection alters metabolism, growth rate, and drug response without changing the appearance of the culture.

The Measurement Stack

Cell biology measures function at several levels, and each level has its own controls.

Viability assays report metabolic activity or membrane integrity. The MTT assay reduces a tetrazolium salt to a colored formazan product in metabolically active cells, and the absorbance is read on a plate reader. Migration is measured with a scratch assay, where a confluent monolayer is wounded and closure is tracked over time.

Gene expression is measured by reverse-transcription quantitative PCR, with results expressed as fold change against a reference gene. Protein is measured by immunoblot, immunocytochemistry, or flow cytometry. Flow cytometry adds population resolution. Sequential forward-scatter and side-scatter gating separates cells by size and granularity, singlet discrimination removes clumps, and a marker such as CD15 identifies a specific population.

Imaging reports structure. Transmission electron microscopy resolves organelles and nanoparticles, selected area electron diffraction and energy-dispersive X-ray spectroscopy report crystallinity and elemental composition, and dynamic light scattering and zeta potential report hydrodynamic size and surface charge in suspension.

Perturbation is how causality is tested. Gene knockdown, CRISPR knockout, overexpression, pharmacological inhibition, and preconditioning protocols each isolate one variable.

A Worked Example: Preconditioning Stem Cells

A 2026 study in Odontology compared preconditioning protocols for human dental pulp stem cells and asked whether the resulting small extracellular vesicles carried different regenerative capacity [8]. The cells were preconditioned by odontogenic induction, low-level laser therapy photobiostimulation, or both, and the vesicles were then isolated and co-cultured with naive stem cells. Readouts included MTT viability, scratch wound healing, RT-qPCR for the odontogenic genes DSPP, DMP1, and COL1A1, immunocytochemical staining, and matrix mineralization.

Every vesicle-treated group improved cellular and odontogenic activity. Vesicles from odontogenically induced cells enhanced wound healing and mineralization more strongly, vesicles from laser-treated cells produced relatively higher viability and gene and protein expression, and the difference between those two groups was not significant. The dual preconditioning protocol outperformed either single treatment [8].

Nothing in that study identifies a pathogen. Every measurement is a host cell phenotype. That is the signature of cell biology.

A Worked Example: Cell Purity

Sometimes the entire experiment depends on getting one cell type cleanly. A 2026 protocol paper compared Mono-Poly Resolving Medium against Lymphoprep for isolating human peripheral blood granulocytes [9]. Both protocols were optimized and validated by flow cytometry using sequential forward-scatter and side-scatter gating, singlet discrimination, and CD15-positive granulocyte identification. Mono-Poly Resolving Medium produced an average granulocyte purity of 95.3%, compared with 73.9% for Lymphoprep [9].

A 21-point purity difference is not a technical detail. Neutrophil function assays, oxidative burst measurements, and receptor expression studies all shift when the background population changes, and the paper frames the choice of medium as an experimental design decision [9].

A Worked Example: Physiology at the Channel Level

Cell biology also covers the machinery that senses the environment. A 2026 systematic review examined TRPM7, a chanzyme that combines ion channel and kinase activity, as a magnesium-sensing metabolic checkpoint in pancreatic beta cells [10]. Five original studies met the inclusion criteria. One key study showed that beta-cell-specific inactivation of TRPM7 kinase impaired insulin synthesis and compensatory beta-cell proliferation through AKT and ERK signaling, producing glucose intolerance in obesity despite normal serum magnesium levels [10].

That finding reframes a clinical chemistry marker. Serum magnesium can look normal while intracellular magnesium signaling is failing, which is a cell biology claim with direct clinical implications.

A Worked Example: Materials Touching Cells

Nanomaterials add a physical dimension. A 2026 evaluation of colloidal gold dietary supplements found particle diameters of 4 to 11 nm by transmission electron microscopy, with metallic gold confirmed by selected area electron diffraction and energy-dispersive X-ray spectroscopy, surface plasmon resonance by ultraviolet-visible spectroscopy, and stable electrostatically stabilized colloids by dynamic light scattering and zeta potential [11]. In vitro testing showed no pronounced acute cytotoxicity or antitumor effect on HCT-8 cells and no inhibition of selected lactic acid bacteria, while increased cytotoxicity appeared in HEK293 cells exposed to the supplement formulation [11].

Note the two kinds of readout in one paper. The bacterial inhibition assay is microbiology. The human cell line cytotoxicity is cell biology. The characterization of the particles is materials science.

A Worked Example: Formulation and Immune Cells

Vaccine formulation studies often sit at the boundary. A 2026 evaluation of lipid nanoparticle adjuvants with different PEG-lipid ratios and phospholipid modifications in cynomolgus macaques measured antibody and CD4+ T cell responses across formulation groups [12]. Differences appeared between groups, though not all comparisons reached statistical significance given the limited sample size, and the findings differed from earlier results with the same formulations in mice [12].

The design point is worth keeping. Mouse immunology does not automatically predict primate immunology, so a formulation decision made in one species needs confirmation in another before clinical evaluation.

Where the Boundary Breaks Down

Three Places the Line Blurs

The first is virology. A virus is a microorganism by convention, but it has no metabolism of its own, so every virology experiment is also a cell biology experiment [5][6].

The second is host response. The microbiome study described above measured bacterial community composition and host Toll-like receptor expression in the same birds [4]. Neither half makes sense alone.

The third is immunology. Epitope prediction is a computational field that depends on both. A 2026 review identified 148 artificial intelligence models for linear B-cell, conformational B-cell, and T-cell epitope prediction published between 2015 and 2026, organized the field into twelve prediction tasks, and documented fragmented evaluation practices, limited cross-dataset testing, and underuse of public databases [13]. The epitopes are microbial or tumor antigens. The prediction targets are immune receptors. The discipline label depends on which end of the interaction you study.

The Shared Hardware

Both fields run on incubators at 37 °C with 5% carbon dioxide, biosafety cabinets, microplate readers, real-time thermal cyclers, and flow cytometers. Both depend on aseptic technique, and both are ruined by poor pipetting.

The Shared Contamination Problem

A cell biology laboratory that never thinks about microbiology is a laboratory with undetected mycoplasma. A microbiology laboratory that never thinks about eukaryotic cells cannot culture viruses or evaluate host cell toxicity. Contamination control crosses the boundary in both directions, and the practical answer is the same: know what you are growing, know what could be growing with it, and test for the things you cannot see.

The Criteria That Decide Real Choices

Definitions do not settle most decisions. These seven criteria do.

1. Does the answer depend on which organism is present? If yes, microbiology. A susceptibility result is meaningless without an identification.

1. Does the answer depend on the host cell type? If yes, cell biology. A viral entry route or a drug toxicity profile can flip when the cell type changes [6][11].

1. What is the unit of the answer? CFU/mL, genome copies/mL, and MIC in µg/mL are microbiology units. Percent viability, fluorescence intensity, and fold change are cell biology units. If you cannot name the unit before you start, the design is not finished.

1. What reference standard will a reviewer expect? For susceptibility, broth microdilution is the reference against which commercial methods are judged [1]. For a cell-based assay, the equivalent rigor is internal controls, replicate wells, documented passage number, and a validated cell identity.

1. Which contamination problem applies? Culture contamination and isolate misidentification belong to microbiology. Mycoplasma, cross-contaminated lines, and phenotypic drift belong to cell biology.

1. What containment is required? Any work with replication-competent microorganisms carries biosafety containment requirements scaled to the organism. Cell culture carries its own containment and waste rules. Neither field is exempt from either.

1. What is the timeline? Routine bacterial cultures often report in 18 to 48 hours. A stable transgenic cell line takes weeks to months. Slow-growing mycobacteria can take longer than either.

Worked Scenarios

Scenario 1. A dog presents with a draining abscess. The question is which organism is present and what will treat it. Swab for aerobic and anaerobic culture, Gram stain, identification, then MIC testing on the isolate. Anaerobic transport matters because anaerobes die on exposure to oxygen. This is microbiology from start to finish.

Scenario 2. A supplement claims to protect liver cells from oxidative injury. The question is whether the compound changes hepatocyte survival or metabolism. The work is cell biology: a hepatocyte model, a dose range, a viability assay, a marker of oxidative stress, and appropriate controls. A 2026 nanomaterial study used exactly this logic with HCT-8 and HEK293 cells, and it included a bacterial inhibition assay as a separate microbiological readout [11].

Scenario 3. A laboratory wants to test a plant extract against an acyclovir-resistant herpesvirus. The target is a virus, so the framing is virology, but the assay runs on cell lines with MTT and plaque reduction endpoints [5]. Choosing "cell biology" as the label would lose the point of the experiment, which is antiviral activity against a resistant strain. Choosing "microbiology" alone would hide the fact that the readout is host cell survival.

Scenario 4. A poultry producer wants to know whether free-range housing changes gut health. The work needs community profiling plus host gene expression plus histology, which is exactly the design used in the 2026 feral chicken comparison [4]. The producer needs both fields and a statistician.

Scenario 5. A materials group has a new antifungal nanoparticle. The critical experiments are identification of the Candida species, MIC and minimum fungicidal concentration for each species, and an in vivo challenge model. That is microbiology, and the 2026 kombucha nanoparticle study is a usable template, including the use of Galleria mellonella larvae across six infection models [2].

Scenario 6. A reference laboratory is validating a new antigen for a parasitic disease. The work is diagnostic microbiology: recombinant antigen production, ELISA development, and a controlled panel of paired serum and urine samples with sensitivity and specificity calculated against a comparator [3]. Cell biology enters only if the antigen is produced in a mammalian expression system.

Scenario 7. An immunology group needs clean neutrophils. The whole experiment depends on purity, and the validation is flow cytometric. Mono-Poly Resolving Medium gave 95.3% purity against 73.9% for Lymphoprep in a direct comparison [9]. This is a cell biology problem with a quality metric borrowed from analytical chemistry.

When to Use Microbiology

Use microbiology when any of the following is true.

• You need to know which organism is present, at species or genus level.
• You need to know whether an organism is susceptible, resistant, or tolerant to a drug, and you need an MIC rather than a zone diameter.
• You need to know whether a surface, water system, food batch, or environment is contaminated, and at what load.
• You need to type isolates to link cases in an outbreak.
• You need to detect antigen or antibody against an infectious agent.
• You need to evaluate a disinfectant, an antimicrobial coating, or a preservative against a defined panel of organisms.
• You need to study a microbial community and its response to an intervention.

Do not use microbiology when the question is about the host. A mouse model of inflammation is not microbiology just because the inflammation was triggered by a bacterium.

How to Learn Microbiology and Where Cell Biology Fits

What a Microbiology Course Covers

A standard microbiology course covers microbial structure and physiology, growth and nutrition, control of microbial growth, genetics and gene transfer, the major groups of bacteria, fungi, viruses, and parasites, host defenses, pathogenesis, epidemiology, and applied microbiology in food, water, industry, and clinical settings. Laboratory sessions typically include aseptic technique, streaking for isolation, Gram staining, biochemical identification, enumeration by serial dilution and plate count, and susceptibility testing by disk diffusion or broth dilution.

The Bench Sequence That Builds Real Skill

Learn aseptic technique before anything else, because every later skill depends on it. Then isolation and colony morphology, then staining, then enumeration, then identification, then susceptibility. Molecular methods come after, because PCR on a contaminated template teaches nothing.

What to Borrow from Cell Biology

Anyone learning microbiology benefits from four cell biology skills: mammalian cell culture under aseptic conditions, viability measurement, quantitative PCR with proper reference genes, and flow cytometry for population analysis. Each one shows up in modern microbiology papers, from antiviral screening [5] to immunology of infection [7].

Reading Primary Literature Across the Line

When you read a paper, identify the unit of the main result. If the unit is an organism count or a MIC, the paper is microbiology. If the unit is a cell phenotype, a signal intensity, or a fold change in a host gene, the paper is cell biology. Mixed papers have mixed units, and that is usually a sign of a well-designed translational study.

Common Mistakes and Limitations

Treating disk diffusion zone diameter as an MIC. A zone size is interpreted through a validated breakpoint table. It is not a concentration and cannot be converted into one by arithmetic.

Assuming a MIC means killing. Minimum inhibitory concentration means inhibition. Minimum bactericidal or fungicidal concentration requires a separate subculture step, and the two values can differ by orders of magnitude [2].

Ignoring the breakpoint-adjacent problem. Commercial susceptibility methods agree well overall and disagree most at the breakpoint, which is exactly where the clinical decision is hardest [1]. A single method result near the breakpoint deserves confirmation.

Confusing relative abundance with absolute load. A microbiome profile reports proportions. A community can shift in composition while total load stays flat, or vice versa [4].

Assuming a cell line is a clean system. Mycoplasma contamination and misidentified lines are common and quiet. Both change results without producing obvious symptoms in the culture.

Treating passage number as bookkeeping. Phenotype drifts with passage. A receptor that is present at passage 5 may be absent at passage 30.

Calling any in vitro work "microbiology." A hepatocyte toxicity assay is not microbiology. A bacterial inhibition assay run alongside it is.

**Assuming a compound that inhibits bacteria also inhibits fungi, or that a result in one Candida species applies to all eight.** Species-level differences in susceptibility are routine and are the reason panels are tested species by species [2].

Extrapolating between host species. Lipid nanoparticle formulations produced different immune response patterns in cynomolgus macaques than in mice [12]. Species is a variable, not a formality.

Over-reading exploratory findings. A signal that survives only an exploratory pairwise comparison and not false-discovery-rate correction is a hypothesis, not a result [7].

Skipping the inoculum standard. Susceptibility results are only comparable when the inoculum is standardized. A heavy or light inoculum shifts the endpoint.

Forgetting that identification precedes interpretation. An MIC without a species identification cannot be interpreted against a breakpoint table.

The limitations are practical rather than philosophical. Individual diagnostic and treatment decisions for a sick animal or person require a licensed clinician working with an accredited laboratory, and no general article substitutes for that.

Frequently Asked Questions

Is microbiology a branch of cell biology?

No. Microbiology is defined by the organisms it studies, and many of those organisms are not cells at all. Viruses have no membrane-bound nucleus, no organelles, and no independent metabolism, so a framework built around eukaryotic cell structure cannot contain them.

Do microbiologists need cell biology?

Yes, for two reasons. Viruses must be grown in host cells, and host response to infection is measured with cell biology methods. A microbiologist who cannot run a cell culture, a viability assay, or a quantitative PCR reaction is limited to a subset of the field.

Which field should I choose for a career in diagnostic testing?

Choose microbiology if you want to identify organisms, run susceptibility panels, and report results that drive treatment. Choose cell biology if you want to work in research, drug development, or mechanism-driven science. Clinical diagnostic laboratories hire microbiology-trained staff far more often.

Is virology microbiology or cell biology?

Virology is microbiology by convention because viruses are infectious agents. In practice it is a hybrid, because every experiment requires host cells, and viral entry routes depend on host cell proteases and trafficking [6].

Can I learn microbiology without a laboratory?

You can learn the principles, the taxonomy, the pathogenesis, and the interpretation of results from textbooks and published studies. You cannot learn aseptic technique, streaking, staining, or susceptibility testing from reading. Those require supervised bench time.

Which course should I take first?

Take microbiology first if your goal is diagnostics, infectious disease, or public health. Take cell biology first if your goal is research on eukaryotic cells, pharmacology, or developmental biology. If you are unsure, take microbiology first, because its aseptic technique foundation transfers directly into cell culture work.

Sources

1. Comparative evaluation of commercial gradient diffusion and disk diffusion tests for aztreonam-avibactam susceptibility testing.
2. Kombucha-Mediated Silver Nanoparticles with Fungicidal Activity Against WHO-Priority Candida Pathogens: In Vitro and Galleria mellonella Evaluation.
3. Comparison of a recombinant endonuclease III protein and its synthetic peptides in ELISA for the diagnosis of tegumentary leishmaniasis using human serum and urine samples: A preliminary study.
4. Microbiota profiles and intestinal immunity in Bermuda feral chickens: A comparison with commercial broilers.
5. Evaluation of the Antiviral Activity of Cuscuta Extracts Against HSV-1, HSV-2 (ACV-Resistant Strain), HCoV229E and SARS-CoV-2.
6. Comparison of S2 Subunits of the Spike (S) Glycoprotein From Different Strains of SARS-Cov-2 (COVID-19), Aiming to Understand the S2 Role in Virus Transfection Which May Help Its Harness.
7. Viral coinfections and checkpoint-marker expression in HIV: An exploratory HCV-Related CD4⁺ T-Cell PD-L1 pattern.
8. Comparison of the effects of different dental pulp stem cell preconditioning protocols on the odontogenic potential of their derived small extracellular vesicles.
9. Standardized human granulocyte isolation using Mono-Poly™ resolving medium: protocol development, validation, and comparison with Lymphoprep™.
10. TRPM7 as a Magnesium-Sensing Metabolic Checkpoint in Pancreatic β-Cell Failure and Type 2 Diabetes: From Mechanistic Insights to a Functional Biomarker Strategy.
11. Colloidal Gold Dietary Supplements as Nanomaterials: Physicochemical Evaluation, Estimated Oral Exposure, and Preliminary Biological Assessment.
12. Evaluation of lipid nanoparticle adjuvants with different PEG lipid ratios and phospholipid modifications in non-human primates.
13. Computational identification of B- and T-cell epitopes: a unified task taxonomy and review of databases, datasets, predictive pipelines, and gaps.