# Trim32 expression in rat eye tissue

[Browse datasets](<../../>) 

`datamonger:scheetz2006@1` · Registry `1.2.0`. Default version in this registry. 

Prepared from the authors' GSE5680 processed RMA expression matrix. Contains 120 F2 rats from an SR/JrHsd x SHRSP intercross, with 18,985 expression predictors and response y (Trim32 probe 1389163\_at). Retains GEO numeric precision, sample identifiers, and source sample and probe order, without additional normalization or imputation. After excluding 57 AFFX controls, selection keeps probes whose maximum exceeds the global first quartile and whose range is at least one on the log2 scale, following the paper's rule at full precision. This retains 10 predictors beyond Iowa's rounded export. sample\_id is metadata excluded from model features. Added gene annotations and experimental controls are omitted. 

<a id="dimensions-and-tasks"></a>

## Dimensions and tasks

| Task | Type | Split | Samples | Predictors |
| --- | --- | --- | --- | --- |
| default | regression | — | 120 | 18,985 |

Predictor counts follow each task's feature selection and exclude targets and identifiers. Sample counts are reported separately for each split. 

<a id="retrieve"></a>

## Retrieve

These examples pin both the dataset version and the registry's exact index. An uncached dataset requires network access to its source. The CLI retrieves verified artifacts. The language clients also decode them. 

<a id="python"></a>

### Python

```python
from datamonger import Registry, fetch_data

registry = Registry(
    release="1.2.0",
    index_sha256="4b4e6aeb71ad7e53c3596a725e62008c76c27a59ac68c53a02432898ec8b6f21",
    index_url="https://github.com/jolars/datamonger/releases/download/registry-v1.2.0/index.json",
)
data = fetch_data("datamonger:scheetz2006@1", registry=registry)
```

<a id="r"></a>

### R

```r
library(datamonger)

registry <- registry_selector(
  release = "1.2.0",
  index_sha256 = "4b4e6aeb71ad7e53c3596a725e62008c76c27a59ac68c53a02432898ec8b6f21",
  index_url = "https://github.com/jolars/datamonger/releases/download/registry-v1.2.0/index.json"
)
data <- fetch_data("datamonger:scheetz2006@1", registry = registry)
```

<a id="julia"></a>

### Julia

```julia
using Datamonger

registry = registry_selector(
    "1.2.0",
    "4b4e6aeb71ad7e53c3596a725e62008c76c27a59ac68c53a02432898ec8b6f21",
    "https://github.com/jolars/datamonger/releases/download/registry-v1.2.0/index.json",
)
data = fetch_data("datamonger:scheetz2006@1"; registry=registry)
```

<a id="cli"></a>

### CLI

```sh
cat > datamonger-registry.json <<'JSON'
{
  "index_sha256": "4b4e6aeb71ad7e53c3596a725e62008c76c27a59ac68c53a02432898ec8b6f21",
  "index_url": "https://github.com/jolars/datamonger/releases/download/registry-v1.2.0/index.json",
  "release": "1.2.0",
  "schema_version": 1
}
JSON
datamonger --selector datamonger-registry.json fetch 'datamonger:scheetz2006@1'
```

<a id="representation-and-variables"></a>

## Representation and variables

Tabular data with a dense representation. Decoder: `delimited-text` version 1. 

| Component | Kind | Type | Shape |
| --- | --- | --- | --- |
| sample\_id | vector | string | 120 |
| 1367458\_at | vector | float64 | 120 |
| 1367462\_at | vector | float64 | 120 |
| 1367467\_at | vector | float64 | 120 |
| 1367468\_at | vector | float64 | 120 |
| 1367474\_at | vector | float64 | 120 |
| 1367478\_at | vector | float64 | 120 |
| 1367484\_at | vector | float64 | 120 |
| 1367491\_at | vector | float64 | 120 |
| 1367494\_at | vector | float64 | 120 |
| 1367495\_at | vector | float64 | 120 |
| 1367498\_at | vector | float64 | 120 |
| 1367499\_at | vector | float64 | 120 |
| 1367501\_at | vector | float64 | 120 |
| 1367502\_at | vector | float64 | 120 |
| 1367505\_at | vector | float64 | 120 |
| 1367508\_at | vector | float64 | 120 |
| 1367515\_at | vector | float64 | 120 |
| 1367517\_at | vector | float64 | 120 |
| 1367521\_at | vector | float64 | 120 |
| 1367526\_at | vector | float64 | 120 |
| 1367527\_at | vector | float64 | 120 |
| 1367530\_at | vector | float64 | 120 |
| 1367534\_at | vector | float64 | 120 |
| 1367537\_at | vector | float64 | 120 |
| 1367539\_at | vector | float64 | 120 |
| 1367540\_at | vector | float64 | 120 |
| 1367541\_at | vector | float64 | 120 |
| 1367542\_at | vector | float64 | 120 |
| 1367544\_at | vector | float64 | 120 |

Showing 30 of 18,987 components. The [complete registry record](<../../../assets/1962e176f6685cc7177b26a1d91ca3331e22f71f73f819f1deeea7023db207ea.bin>) contains every variable name and task binding. 

<a id="preprocessing"></a>

## Preprocessing

Preprocessing history is not recorded in this registry release. 

<a id="provenance-and-citation"></a>

## Provenance and citation

Provider: Datamonger; derived from Scheetz et al. at NCBI GEO. Upstream name: Expression data for an eQTL experiment in rat eye. Retrieved: 2026-10-16. 

[Original source](<https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE5680>) 

Authors: Todd E. Scheetz, Kwang-Youn A. Kim, Ruth E. Swiderski, Alisdair R. Philp, Terry A. Braun, Kevin L. Knudtson, Anne M. Dorrance, Gerald F. DiBona, Jian Huang, Thomas L. Casavant, Val C. Sheffield, Edwin M. Stone. 

Scheetz TE, Kim K-YA, Swiderski RE, Philp AR, Braun TA, Knudtson KL, Dorrance AM, DiBona GF, Huang J, Casavant TL, Sheffield VC, and Stone EM (2006). Regulation of gene expression in the mammalian eye and its relevance to eye disease. PNAS 103:14429-14434. [https://doi.org/10.1073/pnas.0602562103](<https://doi.org/10.1073/pnas.0602562103>). GEO accession GSE5680. 

<a id="license"></a>

## License

Known (see terms) 

[License information](<https://www.ncbi.nlm.nih.gov/geo/info/disclaimer.html>) 

GEO places no restrictions on use or distribution of submitted data, while warning that submitters may retain intellectual property rights. No additional data-specific restriction was found in GSE5680 or its sample records. This review treats GEO's source terms as the redistribution basis for this numeric extract, retaining attribution. No SPDX license or public-domain dedication is inferred. Iowa's RDS, code, and added annotations are not preparation inputs. 

<a id="artifacts"></a>

## Artifacts

Total download: 18.5 MiB. Sizes describe the distributed files, including any compression. 

| Artifact | Format | Compression | Size | Distribution | Preservation |
| --- | --- | --- | --- | --- | --- |
| data | csv | gzip | 18.5 MiB | mirror | durable |

[data: mirror](<https://zenodo.org/api/records/23420731/files/data.csv.gz/content>) 

[Preservation deposit](<https://doi.org/10.5281/zenodo.23420731>) 

<a id="versions-in-this-registry"></a>

## Versions in this registry

[1](<1>) (default) 

<a id="registry-record"></a>

## Registry record

Download the [complete registry record](<../../../assets/1962e176f6685cc7177b26a1d91ca3331e22f71f73f819f1deeea7023db207ea.bin>), [registry selector](<../../../assets/8672628c645b749fa42711c6bd53ffd2b65138f37352b9d6531e466c9b9d26d0.bin>), or [full registry index](<https://github.com/jolars/datamonger/releases/download/registry-v1.2.0/index.json>). 

Index SHA-256: `4b4e6aeb71ad7e53c3596a725e62008c76c27a59ac68c53a02432898ec8b6f21`.