Collections / The transcription factor Zfp281 serves redundantly with Zfp148 to support CD4+ T cell development and functions [Thymus Visium]

The transcription factor Zfp281 serves redundantly with Zfp148 to support CD4+ T cell development and functions [Thymus Visium]

The transcription factor Gata3 is essential both for CD4+ T cell development in the thymus and for the differentiation of Th2 cells, which mediate responses against extracellular parasites and contribute to asthma and allergies. Here we report that the transcription factor Zfp281, in part redundantly with its paralog Zfp148, cooperates with Gata3 to promote CD4+ T cell development and Th2 cell differentiation. Disruption of both factors in T cells resulted in reduced numbers of spleen CD4+ T cells. Additionally, we show that Zfp281 interacts with Gata3, and that Zfp281 binds to Th2 cytokine loci in Th2 cells. Finally, we found that Zfp148 and Zfp281 promote Th2 cytokine expression. During airway inflammation, Zfp148/281-deficient CD4+ T cells failed to express Th2 cytokines, despite normal expression of Gata3. Altogether our data identify Zfp148 and Zfp281 as essential for enabling Gata3 functions in both CD4+ T cell development and Th2 function.

Datasets6
Size~471 MB
AssayVisium
Samplemouse · thymus
KindComparison
Flag a data issue
PMID:37948511 ↗
Python · sddb client
from sddb import Catalog

cohort = Catalog().collection("geo-gse227332")
cohort.members        # the 6 datasets as a table

print(cohort.licenses())              # check the terms before you download

sdatas = cohort.to_dict()             # {uid: SpatialData}, cached locally
# or keep the .zarr files in a folder of your choice:
# sdatas = cohort.to_dict(dest="data/")
Python · lamindb

Needs pip install lamindb and network access to the Lamin database, which is limited during the alpha. If it fails, use the Client tab.

import lamindb as ln

db = ln.DB("scverse/spatialdata-db")
coll = db.Collection.get(key="geo-gse227332")
coll.ordered_artifacts.to_dataframe()   # the 6 members, ordered

# download every member .zarr to the local cache:
paths = [a.cache() for a in coll.ordered_artifacts.all()]
Shell
# sddb client: download every member .zarr into data/
sddb-cli download --collection geo-gse227332 --dest data/

Licenses: 6 NCBI GEO policy

Open in Vitessce
Visium
Mouse thymus
GSM7097915
mouse thymus asthma 79.2 MB 2,692 spots silver H&E NCBI GEO policy
TechnologyVisium
Organismmouse
Tissuethymus
Conditionasthma
Size79.2 MB
Spots2,692
silver H&E NCBI GEO policy Open in Vitessce
Open in Vitessce
Visium
Mouse thymus
GSM7097914
mouse thymus asthma 70.4 MB 2,447 spots silver H&E NCBI GEO policy
TechnologyVisium
Organismmouse
Tissuethymus
Conditionasthma
Size70.4 MB
Spots2,447
silver H&E NCBI GEO policy Open in Vitessce
Open in Vitessce
Visium
Mouse thymus
GSM7097917
mouse thymus asthma 98.1 MB 3,189 spots silver H&E NCBI GEO policy
TechnologyVisium
Organismmouse
Tissuethymus
Conditionasthma
Size98.1 MB
Spots3,189
silver H&E NCBI GEO policy Open in Vitessce
Open in Vitessce
Visium
Mouse thymus
GSM7097916
mouse thymus asthma 54.4 MB 2,452 spots silver H&E NCBI GEO policy
TechnologyVisium
Organismmouse
Tissuethymus
Conditionasthma
Size54.4 MB
Spots2,452
silver H&E NCBI GEO policy Open in Vitessce
Open in Vitessce
Visium
Mouse thymus
GSM7097913
mouse thymus asthma 90.9 MB 2,830 spots silver H&E NCBI GEO policy
TechnologyVisium
Organismmouse
Tissuethymus
Conditionasthma
Size90.9 MB
Spots2,830
silver H&E NCBI GEO policy Open in Vitessce
Open in Vitessce
Visium
Mouse thymus
GSM7097918
mouse thymus asthma 78.0 MB 2,897 spots silver H&E NCBI GEO policy
TechnologyVisium
Organismmouse
Tissuethymus
Conditionasthma
Size78.0 MB
Spots2,897
silver H&E NCBI GEO policy Open in Vitessce

Cite this collection

doi.org/10.1126/sciimmunol.adi9066 ↗
BibTeX
@article{Chopp_2023,
  title = {Zfp281 and Zfp148 control CD4
            <sup>+</sup>
            T cell thymic development and T
            <sub>H</sub>
            2 functions},
  volume = {8},
  ISSN = {2470-9468},
  url = {http://dx.doi.org/10.1126/sciimmunol.adi9066},
  DOI = {10.1126/sciimmunol.adi9066},
  number = {89},
  journal = {Science Immunology},
  publisher = {American Association for the Advancement of Science (AAAS)},
  author = {Chopp, Laura B. and Zhu, Xiaoliang and Gao, Yayi and Nie, Jia and Singh, Jatinder and Kumar, Parimal and Young, Kelly Z. and Patel, Shil and Li, Caiyi and Balmaceno-Criss, Mariah and Vacchio, Melanie S. and Wang, Michael M. and Livak, Ferenc and Merchant, Juanita L. and Wang, Lie and Kelly, Michael C. and Zhu, Jinfang and Bosselut, Rémy},
  year = {2023},
  month = Nov
}