Measuring low-abundance proteins from small or precious samples? Send them to our GLP-compliant laboratory. Our scientists run NexaTag® immuno-PCR assays on your samples and return quantitative results down to the fg/mL range.
Tell us your targets, sample type, and sample count, and we’ll recommend the format that fits.
We measure one target per well. A good choice when you’re following one or two key markers across a large sample set.
We measure up to 5 targets per well from the same small aliquot, so several related markers come from each sample without splitting it across assays.
Profile 100 human chemokines, growth factors, and inflammation markers from 150 µL of sample. Every target is reported as a concentration, not relative units.
100
Human chemokines, growth factors, and inflammation markers
150 µL
Sample required to profile all 100 targets
pg/mL - fg/mL
Limits of detection for each target
The NexaTag 100-Plex Human Profiling Service measures the 100 targets listed below, split into twenty 5-plex arrays: 8 chemokine arrays, 8 growth factor arrays, and 4 inflammation arrays. Run all twenty to profile every target, or choose only the arrays you need.
Founded in 2001 as the first company to commercialize the antibody array, we continue to use our decades of experience in multiplex, high-throughput protein analysis to deliver outstanding protein detection and analysis services to the research community.
Your samples are run in our GLP-compliant laboratory in Georgia, under documented procedures and quality controls at every step.
NexaTag immuno-PCR detects proteins down to the fg/mL range, so a little sample goes a long way. That leaves more of your sample for repeat testing or other assays, which is especially important for small-animal, pediatric, and archived samples.
If you need multi-analyte detection, RayBiotech can multiplex up to 5 analytes per well with NexaTag immuno-PCR, all from a single small aliquot. In addition to our new 100-plex human profiling service, with twenty 5-plex arrays of chemokines, growth factors, and inflammation markers, we also provide panel customization to your specifications.
Still have questions?
Tell us your targets, sample type, and sample count. Our experts will help you choose the right format and send a quote.
Target | Array | LLOD (pg/mL) | UniProt |
|---|---|---|---|
BLC | CHE1 | 0.39 | O43927 |
Eotaxin | 0.27 | P51671 | |
MIG | 0.033 | Q07325 | |
Eotaxin-2 | 0.012 | O00175 | |
MIP-1 alpha | 0.21 | P10147 | |
6Ckine | CHE2 | 0.13 | O00585 |
Axl | 0.5 | P30530 | |
Eotaxin-3 | 0.26 | Q9Y258 | |
HCC-4 | 4 | O15467 | |
Lymphotactin | 48 | P47992 | |
CTACK | CHE3 | 1.5 | Q9Y4X3 |
CXCL16 | 1 | Q9H2A7 | |
GCP-2 | 18 | P80162 | |
MCP-3 | 1.5 | P80098 | |
MIP-3 alpha | 0.28 | P78556 | |
IP-10 | CHE4 | 3 | P02778 |
ENA-78 | 0.5 | P42830 | |
HCC-1 | 3 | Q16627 | |
I-TAC | 0.5 | O14625 | |
MDC | 0.43 | O00626 | |
IL-23 | CHE5 | 3.3 | Q9NPF7 |
CXCL14 | 50 | O95715 | |
MIF | 0.56 | P14174 | |
MIP-3 beta | 0.13 | Q99731 | |
TARC | 0.8 | Q92583 | |
MIP-1 beta | CHE6 | 0.17 | P13236 |
TSLP | 0.17 | Q969D9 | |
RANK | 26.8 | Q9Y6Q6 | |
IL-1 R5 | 2.4 | Q13478 | |
CXCL17 | 0.53 | Q6UXB2 | |
RANTES | CHE7 | 0.093 | P13501 |
TIMP-1 | 0.9 | P01033 | |
PF-4 | 1 | P02776 | |
IGFBP-1 | 0.9 | P08833 | |
IGFBP-2 | 9 | P18065 | |
BMP-7 | CHE8 | 2.9 | P18075 |
CCL28 | 1.5 | Q9NRJ3 | |
TECK | 0.4 | O15444 | |
IL-18 R beta | 1.3 | O95256 | |
LIGHT | 0.36 | O43557 | |
G-CSF | GF1 | 0.27 | P09919 |
GM-CSF | 0.33 | P04141 | |
FGF-17 | 2.4 | O60258 | |
FGF-21 | 0.26 | Q9NSA1 | |
M-CSF | 0.9 | P09603 | |
FGF-7 | GF2 | 0.01 | P21781 |
bFGF | 2.1 | P09038 | |
FGF-4 | 5 | P08620 | |
FGF-6 | 0.33 | P10767 | |
HB-EGF | 0.002 | Q99075 | |
IL-28A | GF3 | 0.65 | Q8IZJ0 |
BMP-4 | 10 | P12644 | |
BMP-9 | 0.51 | Q9UK05 | |
BTC | 10 | P35070 | |
FGF-19 | 10 | O95750 | |
Activin A | GF4 | 2.1 | P08476 |
IL-16 | 0.11 | Q14005 | |
AR | 6 | P15514 | |
EG-VEGF | 2.3 | P58294 | |
GDF-15 | 0.6 | Q99988 | |
PDGF-BB | GF5 | 0.007 | P01127 |
IL-28B | 1.17 | Q8IZI9 | |
SDF-1 alpha | 5 | P48061 | |
NRG1-beta 1 | 14 | Q02297 | |
PDGF-AA | 0.035 | P04085 | |
IL-21 | GF6 | 2.8 | Q9HBE4 |
FGF-9 | 4 | P31371 | |
GDNF | 0.5 | P39905 | |
HGF | 0.13 | P14210 | |
NT-4 | 0.5 | P34130 | |
IGFBP-4 | GF7 | 45 | P22692 |
TGF-alpha | 0.02 | P01135 | |
VEGF-C | 0.3 | P49767 | |
VEGF-D | 1.5 | O43915 | |
Prolactin | 10 | P01236 | |
OPN | GF8 | 6.4 | P10451 |
EPO R | 17.5 | P19235 | |
TGF-beta 2 | 15 | P61812 | |
GH | 1 | P01241 | |
LIF | 5 | P15018 | |
IFN-gamma | INF1 | 0.015 | P01579 |
IL-12 p70 | 0.022 | P29460 | |
IL-1 beta | 0.006 | P01584 | |
IL-6 | 0.03 | P05231 | |
TNF-alpha | 0.025 | P01375 | |
IL-10 | INF2 | 0.17 | P22301 |
IL-13 | 0.015 | P35225 | |
IL-2 | 0.09 | P60568 | |
IL-4 | 0.45 | P05112 | |
IL-8 | 0.017 | P10145 | |
IL-1 alpha | INF3 | 0.38 | P01583 |
IL-22 | 0.25 | Q9GZX6 | |
IL-5 | 0.78 | P05113 | |
IL-7 | 0.15 | P13232 | |
IL-12 p40 | 0.015 | P29459 | |
IL-1 F10 | INF4 | 71 | Q8WWZ1 |
Fas Ligand | 0.2 | P48023 | |
IL-3 | 1.5 | P08700 | |
IL-24 | 34 | Q13007 | |
IL-33 | 2 | O95760 |
