HCSGD entry for SSSCA1


1. General information

Official gene symbolSSSCA1
Entrez ID10534
Gene full nameSjogren syndrome/scleroderma autoantigen 1
Other gene symbolsp27
Links to Entrez GeneLinks to Entrez Gene

2. Neighbors in the network

color bar
This gene isn't in Literature mining network.

3. Gene ontology annotation

GO ID

GO term

Evidence

Category

GO:0005515Protein bindingIPImolecular_function
GO:0007067MitosisIEAbiological_process
GO:0042802Identical protein bindingIEAmolecular_function
Entries Per Page
Displaying Page of

4. Expression levels in datasets

  • Meta-analysis result

p-value upp-value downFDR upFDR down
0.06070155390.44519574480.53352980641.0000000000

  • Individual experiment result
    ( "-" represent NA in the specific microarray platform )

Data sourceUp or downLog fold change
GSE11954Up0.5319361881
GSE13712_SHEARUp0.0010363200
GSE13712_STATICUp0.1551925899
GSE19018Down-0.0395175742
GSE19899_A1Up0.2335862475
GSE19899_A2Up0.7351712934
PubMed_21979375_A1Up2.1062663799
PubMed_21979375_A2Up0.9310232233
GSE35957Down-0.4073842196
GSE36640Up0.1199015899
GSE54402Up0.3057534644
GSE9593Down-0.4758465848
GSE43922Up0.5514849781
GSE24585Down-0.6941672452
GSE37065Down-0.0849084536
GSE28863_A1Down-0.1911115249
GSE28863_A2Down-0.1554293661
GSE28863_A3Down-0.2337126203
GSE28863_A4Up0.0661311163
GSE48662Down-0.3089192785

5. Regulation relationships with compounds/drugs/microRNAs

  • Compounds

Not regulated by compounds

  • Drugs

Not regulated by drugs

  • MicroRNAs

  • mirTarBase

MiRNA_name

mirBase ID

miRTarBase ID

Experiment

Support type

References (Pubmed ID)

hsa-miR-155-5pMIMAT0000646MIRT020943ProteomicsFunctional MTI (Weak)18668040
hsa-miR-16-5pMIMAT0000069MIRT031953ProteomicsFunctional MTI (Weak)18668040
hsa-miR-320aMIMAT0000510MIRT044812CLASHFunctional MTI (Weak)23622248
Entries Per Page
Displaying Page of
  • mirRecord
No target information from mirRecord

6. Text-mining results about the gene

Gene occurances in abstracts of cellular senescence-associated articles: This gene isn't in text-mining gene-sentence result.