PomBase home

protein coding gene - rnh202 (SPBC1347.08c) - ribonuclease H2 complex subunit Rnh202

Gene summary

Standard name
rnh202
Systematic ID
SPBC1347.08c
Product
ribonuclease H2 complex subunit Rnh202
Organism
Schizosaccharomyces pombe (fission yeast)
UniProt ID
O94627
ORFeome ID
12/12A01
Characterisation status
biological role inferred
Feature type
mRNA gene
Genomic location
chromosome II: 4073720..4076095 reverse strand

Annotation

Disease association

MONDO:0012429 - Aicardi-Goutieres syndrome 2

References:

GO biological process

GO:1903469 - removal of RNA primer involved in mitotic DNA replication

References:

GO cellular component

GO:0005829 - cytosol

References:

GO:0005654 - nucleoplasm

References:

GO:0005634 - nucleus

References:

GO:0032299 - ribonuclease H2 complex

References:

GO molecular function

GO:0004523 - RNA-DNA hybrid ribonuclease activity

References:

Multi-locus phenotype

FYPO:0001355 - decreased vegetative cell population growth

References:

Genotypes:

Quantitative gene expression

PBO:0006310 - protein level

References:

PBO:0011963 - RNA level

References:

Single locus phenotype

FYPO:0009077 - increased cell population growth on ethanol carbon source

References:

Genotypes:

FYPO:0009052 - increased cell population growth on glutamate nitrogen source

References:

Genotypes:

FYPO:0009094 - increased cell population growth on lysine and proline nitrogen source

References:

Genotypes:

FYPO:0009093 - increased cell population growth on lysine and serine nitrogen source

References:

Genotypes:

FYPO:0009072 - increased cell population growth on lysine nitrogen source

References:

Genotypes:

FYPO:0009028 - increased cell population growth on proline nitrogen source

References:

Genotypes:

FYPO:0009074 - increased cell population growth on serine nitrogen source

References:

Genotypes:

FYPO:0004557 - increased vegetative cell population growth

References:

Genotypes:

FYPO:0009041 - resistance to 2,2′-dipyridyl

References:

Genotypes:

FYPO:0009030 - resistance to amitrole

References:

Genotypes:

FYPO:0000763 - resistance to cadmium

References:

Genotypes:

FYPO:0009068 - resistance to ciclopirox olamine

References:

Genotypes:

FYPO:0000764 - resistance to cycloheximide

References:

Genotypes:

FYPO:0002693 - resistance to diamide

References:

Genotypes:

FYPO:0009038 - resistance to egtazic acid

References:

Genotypes:

FYPO:0001453 - resistance to ethanol

References:

Genotypes:

FYPO:0009035 - resistance to formamide

References:

Genotypes:

FYPO:0009085 - resistance to lithium chloride and sodium dodecyl sulfate

References:

Genotypes:

FYPO:0002767 - resistance to terbinafine

References:

Genotypes:

FYPO:0003383 - resistance to tert-butyl hydroperoxide

References:

Genotypes:

FYPO:0001034 - resistance to tunicamycin

References:

Genotypes:

FYPO:0000830 - resistance to vanadate

References:

Genotypes:

FYPO:0000088 - sensitive to hydroxyurea

References:

Genotypes:

FYPO:0007924 - sensitive to potassium chloride and sodium dodecyl sulfate

References:

Genotypes:

FYPO:0002060 - viable vegetative cell population

References:

Genotypes:

FYPO:0002177 - viable vegetative cell with normal cell morphology

References:

Genotypes:

Taxonomic conservation

PBO:0011065 - conserved in eukaryotes

PBO:0011071 - conserved in eukaryotes only

PBO:0011064 - conserved in fungi

PBO:0011069 - conserved in metazoa

PBO:0011070 - conserved in vertebrates

PBO:0006222 - predominantly single copy (one to one)

Protein features

IDNameInterPro nameDB name
PF17745Ydr279_NRnh202_NPFAM
PF09468RNase_H2-Ydr279RNase_H2_suB_wHTHPFAM
cd09270RNase_H2-BRNase_H2_suBCDD
G3DSA:1.10.20.120:FF:000012FUNFAM
G3DSA:1.10.20.120GENE3D
G3DSA:2.20.25.530GENE3D
PTHR13383RIBONUCLEASE H2 SUBUNIT BRNase_H2_suBPANTHER
mobidb-lite-Disorderdisorder_predictionMOBIDB-Disorder
mobidb-lite-Positive-Polyelectrolytedisorder_predictionMOBIDB-Positive-Polyelectrolyte

Orthologs

References / Literature

PMID:18931302 - Significant conservation of synthetic lethal genetic interaction networks between distantly related eukaryotes.
Dixon SJ et al. Proc Natl Acad Sci U S A 2008 Oct 28;105(43):16653-8
PMID:21511999 - Comparative functional genomics of the fission yeasts.
Rhind N et al. Science 2011 May 20;332(6032):930-6
PMID:18818364 - Conservation and rewiring of functional modules revealed by an epistasis map in fission yeast.
Roguev A et al. Science 2008 Oct 17;322(5900):405-10
GO_REF:0000024 - Manual transfer of experimentally-verified manual GO annotation data to orthologs by curator judgment of sequence similarity.
PMID:24763107 - Absolute proteome and phosphoproteome dynamics during the cell cycle of Schizosaccharomyces pombe (Fission Yeast).
Carpy A et al. Mol Cell Proteomics 2014 Aug;13(8):1925-36
PMID:36793083 - The SAGA histone acetyltransferase module targets SMC5/6 to specific genes.
Mahrik L et al. Epigenetics Chromatin 2023 Feb 16;16(1):6
PMID:22681890 - Hierarchical modularity and the evolution of genetic interactomes across species.
Ryan CJ et al. Mol Cell 2012 Jun 08;46(5):691-704
PMID:20473289 - Analysis of a genome-wide set of gene deletions in the fission yeast Schizosaccharomyces pombe.
Kim DU et al. Nat Biotechnol 2010 Jun;28(6):617-623
GO_REF:0000033 - Annotation inferences using phylogenetic trees
GO_REF:0000111 - Gene Ontology annotations Inferred by Curator (IC) using at least one Inferred by Sequence Similarity (ISS) annotation to support the inference
PMID:23697806 - A genome-wide resource of cell cycle and cell shape genes of fission yeast.
Hayles J et al. Open Biol 2013 May 22;3(5):130053
PMID:16823372 - ORFeome cloning and global analysis of protein localization in the fission yeast Schizosaccharomyces pombe.
Matsuyama A et al. Nat Biotechnol 2006 Jul;24(7):841-7
PMID:23101633 - Quantitative analysis of fission yeast transcriptomes and proteomes in proliferating and quiescent cells.
Marguerat S et al. Cell 2012 Oct 26;151(3):671-83
PB_REF:0000006 - Disease associations from Monarch via human-pombe orthologs
PMID:37787768 - Broad functional profiling of fission yeast proteins using phenomics and machine learning.
Rodríguez-López M et al. Elife 2023 Oct 03;12