ATCC Biological Materials Catalog Data

Datadory delivers ATCC biological materials catalog data covering roughly 100,227 cataloged biological products: more than 4,000 authenticated human and animal cell lines plus primary cells, hybridomas, organoids, bacteria, viruses, yeast, fungi and nucleic acids, each record carrying organism and strain, tissue and disease origin, applications, an assigned biosafety level, medium and culture conditions, storage format and USD list price.

What this dataset is

ATCC - Biological Materials Catalog is the structured inventory of the nonprofit bioresource center molecular biology keeps on speed dial: roughly 100,227 catalog items spanning more than 4,000 authenticated human and animal cell lines, primary cells, hTERT-immortalized lines, hybridomas, organoids and advanced cancer models, alongside bacteria, archaea, viruses, yeast, fungi, protozoa, algae, nucleic acids and molecular tools, with media, sera, reagents and services filling out the shelves. Sister programs BEI Resources and the International Reagent Resource operate under the same Federal Solutions umbrella.

The structure is what turns a parts catalog into analysis material. Biosafety levels arrive as integers keyed to ATCC's own BMBL risk assessment, not prose. Disease associations sit in their own column next to tissue of origin. Culture recipes resolve into medium, incubation temperature and gas atmosphere, and the USD list price rides on the same row. Request a sample scoped to the organisms or categories your work touches.

What do ATCC Biological Materials Catalog rows look like?

One cleaned Datadrow per catalog item - the canonical HeLa reference strain as delivered:

PRODUCT  ATCC_NUMBER  CATEGORY     ORGANISM             TISSUE          DISEASE         APPLICATIONS                    BSL  PRICE_USD  FORMAT  STORAGE                       
-------  -----------  -----------  -------------------  --------------  --------------  ------------------------------  ---  ---------  ------  ------------------------------
HeLa     CCL-2        Human cells  Homo sapiens, human  Uterus; Cervix  Adenocarcinoma  3D cell culture; Bioproduction  2    577.00     Frozen  Vapor phase of liquid nitrogen

Reading the row: eleven columns answer what a buyer, a biosafety officer and an analyst each ask first. The disease column carries adenocarcinoma against a uterus-cervix tissue origin, so oncology-relevant screening filters on it directly instead of parsing a description field. Applications document 3D cell culture and bioproduction use, which is how procurement separates workhorse strains from shelf ornaments. The biosafety level is the integer ATCC assigns after its BMBL risk assessment - here a 2 - and the price column holds the USD list figure for the vial, 577.00, ready to aggregate across thousands of items at once.

What fields does the ATCC Biological Materials Catalog include?

The dictionary below is the contract every delivered row is validated against. Three design choices matter most. First, identifiers lead: the product designation and ATCC number (HeLa CCL-2) double as join keys, so the cell-line, microbe and media/reagent layers reconcile on one column. Second, risk-relevant attributes are typed, not narrated - biosafety level lands as an integer, organism arrives with its scientific name attached, and tissue and disease occupy distinct positions in the same field group. Third, handling knowledge travels with the item: complete medium, incubation temperature and gas atmosphere ship beside format and storage, so a culture plan reconstructs without ever leaving the table.

Cell-line records run deepest: morphology, karyotype, virus susceptibility, genes expressed and donor age/ethnicity/sex ride along on the lines where they apply, with lot-level inventory and certificate references behind them. Media and reagent entries carry a leaner attribute set, and the dictionary marks which columns populate per product family.

How far does the coverage reach?

  • Geography: a global bioresource supplier - materials ship worldwide, with the storefront localized by country selector
  • Temporal: the current living catalog, with new and coming-soon products surfaced as they arrive
  • Granularity: one record per catalog item - roughly 100,227 items across cell, microbe and media/reagent lines, anchored by more than 4,000 authenticated human and animal cell lines

No other biological-materials reference hands you a typed, countable table at this scale. Everyone else hands you a search box and calls it infrastructure.

How is the data delivered?

API, files, or your warehouse. Daily, weekly, or hourly.

Pick the channel and the cadence; the rows arrive identical either way - cleaned, typed, and keyed on ATCC number so the cell-line, microbe and media layers line up without a merge-key archaeology session. Multi-value fields such as stacked applications stay parseable, prices normalize to the single USD column, and every delivered row is checked against the dictionary above before it reaches you.

Who uses this data, and for what

  • Life-science market researchers and consultants - size the cell-line, microbe and media segments by counting actual catalog items and their price spread, not vendor press releases.
  • Competitive-intelligence teams in biotech and pharma supply - watch category breadth, new-product flow and list-price posture accumulate quarter over quarter across a five-figure catalog.
  • Emerging-risk and underwriting research analysts - biosafety level, organism and disease-association columns provide structured inputs for reviews that touch laboratory work, biologics manufacturing or pathogen handling, stating plainly what each material is and how it is handled.
  • R&D procurement and lab-operations leads - benchmark the unit economics of biological materials against USD list prices aggregated by category before negotiating any supply agreement.
  • Health-economics researchers and life-science investors - catalog breadth and price dispersion are a readable proxy for where wet-lab attention, and therefore tooling spend, concentrates.

Explore more use cases - see the industry hub

Which personas get the most value?

Market researchers treat the catalog as a census-sized panel of the biological-materials market - category counts and price columns beat any survey of a few dozen vendors - see market researchers use cases. Investors and quant researchers read new-item flow and price dispersion as demand signals for the life-science tooling complex - see investors quants use cases. Data scientists and ML engineers get typed reference tables for entity resolution of cell-line and organism mentions buried in documents, claims notes and protocols - see data scientists use cases. Journalists, academics and students cite a concrete frame for what authenticated biological materials actually cost and how they are handled - see journalists academics use cases.

Notes and adjacent datasets

Methodology note - attributes are assigned by the bioresource center's own staff: biosafety levels come from its BMBL-based risk assessment, and culture recommendations reflect its published handling instructions. Curator-assigned values are consistent; depositor-adjacent free text varies.

Completeness note - attribute density differs by product family: cell-line records carry morphology, karyotype, virus susceptibility, expressed genes and donor demographics where applicable, while media and reagent entries run leaner. Lot-level detail follows the physical stock. Coverage gets checked per delivery before anything ships, and anything beyond the core dictionary arrives as documented additional fields.

Provenance note - every record traces to the collection itself: an authenticated, characterized biological material with its own ATCC number, lot lineage and, where applicable, certificate-of-analysis references. That chain of custody is why the table beats any secondhand list of strains.

Where to go next:

Field dictionary - ATCC Biological Materials Catalog

FieldTypeDefinitionExample
Product name / ATCC numberstringProduct designation and ATCC catalog number, e.g. HeLa CCL-2 - doubles as the join key across the cell-line, microbe and media layers.HeLa CCL-2
Product categorystringCatalog grouping such as human cells, bacteria, viruses or media - the column segment-level counts and pricing roll up on.Human cells
OrganismstringSource organism with scientific name attached, kept parseable for taxonomy-level grouping.Homo sapiens, human
Cell type / Strain designationstringCell type for cell products; strain designation for microbes.epithelial cell
Tissue / DiseasestringTissue of origin and disease association - the columns oncology and emerging-risk screens filter on.Uterus; Cervix - Adenocarcinoma
ApplicationsstringDocumented research applications, multi-value and kept parseable.3D cell culture; Bioproduction
Biosafety level (BSL)integerATCC-assigned biosafety level based on the BMBL risk assessment, delivered as a typed value rather than prose.2
Product format / Storage conditionsstringShipped format and required storage, e.g. frozen, liquid nitrogen vapor phase.Frozen
Complete medium / Temperature / AtmospherestringCulture medium, incubation temperature and gas atmosphere from the handling information.EMEM + 10% FBS; 37 C; 95% air / 5% CO2
PricenumberList price in USD per unit (EA), normalized to one currency column so category-level aggregation needs no cleanup pass.577.00
Lot datastringPer-lot inventory, donor age/sex/ethnicity/BMI and certificate-of-analysis references where applicable.Lot number, Inventory, Donor age

Questions buyers ask

What does the ATCC Biological Materials Catalog contain?

Roughly 100,227 cataloged biological products: more than 4,000 authenticated human and animal cell lines plus primary cells, hybridomas, organoids and advanced cancer models, then bacteria, archaea, viruses, yeast, fungi, protozoa and algae, plus nucleic acids, molecular tools, media, sera and reagents. Each record carries organism, tissue and disease origin, applications, biosafety level, culture conditions, format, storage and USD list price.

What fields does a catalog row carry?

Eleven core groups: product designation with ATCC number, product category, organism with scientific name, cell type or strain designation, tissue and disease association, documented applications, an integer biosafety level, product format with storage conditions, the complete-medium recipe with temperature and atmosphere, the USD list price, and lot-level data including inventory and donor demographics where applicable.

How are biosafety levels recorded in the data?

As typed integers reflecting the bioresource center's own risk assessment under the BMBL framework, not as free-text safety prose. The canonical HeLa strain CCL-2 carries a level of 2. Because the value lands in its own numeric column, risk screens can filter and aggregate across the whole catalog without parsing handling descriptions.

Does the dataset include prices?

Yes - a list price in USD per unit sits on every priced item, with the canonical HeLa CCL-2 vial listed at 577.00. Prices normalize to a single currency column, so category-level aggregation, vendor benchmarks and budget models compute straight off the table.

How current is the catalog, and how often does it change?

Delivered rows reflect the current living catalog, in which new and coming-soon products are surfaced as they arrive. Cadence on your side is your call: daily, weekly or hourly deliveries all produce the same cleaned, keyed rows, so incremental snapshots diff cleanly against prior ones.

Which industries put this dataset to work?

Life and health insurance research teams use the biosafety, organism and disease columns for emerging-risk review; life-science market researchers size segments from category counts and prices; procurement and lab-operations leads benchmark unit costs; and health-economics investors read catalog breadth and price dispersion as signals of where tooling spend concentrates.

Can I get a sample scoped to my use case?

Yes. Samples can be cut by organism, product category, biosafety level or application - a viral-vector slice for one team, a full cell-line extract with culture conditions for another. Request one through the pricing page and the rows arrive in the same dictionary-checked shape described above.

See the rows before you pay anything.

Name this dataset and we send real records from it — scoped to the fields you asked for.

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