Problem encountered during Pearson Correlation Analysis between two immune cell subtypes
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8 months ago
applepie ▴ 10

Hello, Recently l conducted Pearson correlation analysis to check the correlation between two clusters of cells based on scRNA seq data.

I realised that there is positive pearson correlation (R = 0.57) between immune cell cluster A and immune cell cluster B. however, the genes that contribute to the high correlations are ONLY genes related to cell cycle and division (see the given gene list below). What does it imply biologically? Is it weird? I actually wanna see if cluster A is correlated to the cluster B which contains immuno suppressive cells.

below are the given genes:

[1] "CDCA3" "SHCBP1" "ESCO2" "GTSE1" "KIF18B" "PRC1" "AURKB" "KIF23" "MYBL2" "HMMR" "CIT" "CDC20" "CDK1"

[14] "NEK2" "UBE2C" "BIRC5" "TOP2A" "SPC25" "RRM2" "SNAI1" "MXD3" "CX3CR1" "FOXM1" "HIST1H3B" "FAM64A" "DIAPH3"

[27] "DEPDC1" "SKA1" "CEP55" "CDCA8" "NCAPG" "BUB1B" "CDCA2" "NUF2" "ASPM" "HIST1H3G" "SPC24" "BRI3BP" "CCNB2"

[40] "MND1" "PLK1" "IQGAP3" "CCNA2" "RAD51AP1" "CENPA" "POC1A" "KIF2C" "ANLN" "HJURP" "DLGAP5" "TPX2" "HIST1H1B"

[53] "CKAP2L" "CENPP" "CDKN3" "UHRF1" "GGH" "AC093901.1" "ARG2" "E2F7" "CENPN" "RP11-552D4.1" "C2orf48" "RP11-302B13.5" "SGOL1"

[66] "WDR62" "TCF19" "KIAA0101" "KIFC1" "KIF14" "ORC6" "KIF4A" "CCNB1" "SAPCD2" "TYMS" "ARHGAP11A" "MELK" "ECT2"

[79] "PSRC1" "KIF11" "PSMC3IP" "TRIP13" "HIST1H1A" "TTK" "C17orf53" "TK1" "CENPF" "ZWINT" "PKMYT1" "MAD2L1" "AGR2"

[92] "HIST1H2AH" "ACTN2" "CKS1B" "RAD51" "CENPU" "FAM212B-AS1" "FAM72D" "ULBP1" "TCEAL7" "RP11-480C22.1" "CLUL1" "AL049794.1" "RP11-932O9.10"

[105] "DEPDC1B" "GINS1" "TUFT1" "SPAG5" "NUSAP1" "CCNE2" "DTL" "PBK" "HEY1" "SKA3" "SAC3D1" "RFC3" "E2F8"

[118] "NRGN" "TROAP" "VSIG10" "SGOL2" "MKI67" "POU3F1" "EZH2" "ASF1B" "ARHGEF39" "ID1" "MTFR2" "CDC25C" "CTD-2026K11.4"

[131] "CENPM" "CCNF" "TMEM97" "PPIAL4A" "KIF24" "CDH5" "UBE2T" "NCAPG2" "DHFR" "PARPBP" "CASC5" "NRM" "PCNA"

[144] "DTYMK" "RFWD3" "SUV39H2" "STMN1" "TACC3" "BUB1" "HIST1H2AM" "DCK" "RNASEH2A" "ATAD2" "RNF212" "WDHD1" "TUBA1B"

[157] "KIF15" "MTBP" "SMC2" "CLSPN" "NCAPD3" "CDC6" "H2AFZ" "HELLS" "MRPS24" "H2AFX" "FEN1" "HIST2H2AB" "HIST1H4I"

[170] "TUBB" "RRM1" "RIBC2" "NDC80" "FAM111B" "KIF22" "HADH" "CDC45" "NEIL3" "MCM10" "IL4I1" "FAM111A" "PRDX3"

[183] "TAF4B" "MCM4" "CDKN2D" "VRK1" "UQCRHL" "POLA2" "SPIN4" "HMGN2" "DLX2" "SDR42E2" "HMGB2" "TMEM106C" "MCM2"

[196] "ELAVL1" "SLC25A5" "RGS4" "CDKN2C" "CDT1" "SIVA1" "HIST1H1D" "LMNB1" "RFC4" "HINT2"

scRNA-seq biostatistics • 306 views
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