ITERATIVE FLUORESCENCE IMAGING

Abstract

The invention relates to a method for multiplex staining of a biological sample involving the use of a buffer combination of blocking buffer, imaging buffer and elution buffer that allows for multiple staining rounds of biological samples. The blocking buffer comprises a compound that is capable of binding to hydrophobic binding sites non-specifically and a sulfhydryl-reactive compound. The imaging buffer is at neutral pH and comprises a radical scavenger, and the elution buffer is at pH lower than 4 and comprises a buffering component, a reducing agent and at least one compound disrupting hydrogen bonds. The invention further relates to buffers used in the practice of the method of the invention, and to a kit containing these buffers.

Claims

1. A method for multiplex staining of a biological sample, comprising the steps of: a. in a blocking step, contacting a biological sample prepared for imaging with a blocking solution comprising i. a blocking compound that is capable of binding to hydrophobic binding sites non-specifically and ii. a sulfhydryl-reactive compound; b. in a first washing step, contacting said biological sample with a washing solution; c. in a first staining step, contacting said biological sample with a first antibody specific for a first antigen, wherein i. said first antibody bears a detectable label, particularly a fluorescent label, or ii. said first antibody does not bear a detectable label, and subsequent to the first staining step, the sample is contacted with the washing solution and a second staining step is performed, wherein said biological sample is contacted with a second antibody that bears a detectable label, particularly a fluorescent label, and is specific for the first antibody; d. in a second washing step, contacting said biological sample with the washing solution; e. in an imaging step, contacting said biological sample with an imaging solution at neutral pH containing a radical scavenger and subsequently recording a fluorescence image of the sample; f. in a third washing step, contacting said biological sample with the washing solution; g. in an elution step, contacting said biological sample with an elution solution, wherein the elution solution i. is characterized by a pH lower than (<) 4, particularly pH <3, more particularly ≤2.7 and ii. comprises a buffering component, a reducing agent and at least one compound disrupting hydrogen bonds; wherein steps a to g are repeated, particularly 1, 2, 3, 4, 5 or more (≥5), ≥10, ≥15, ≥20, ≥30, ≥50, or even ≥100 times, employing a different first antibody in each repeat.

2. The method according to claim 1, wherein directly before the imaging step (step (g)), the following steps are performed i. a nucleus-labelling step, contacting said biological sample with a DNA-binding fluorescent compound; ii. a washing step, contacting said biological sample with the washing solution.

3. The method according to claim 1, wherein the blocking compound in the blocking solution is a blocking polypeptide and/or the compound in the elution solution disrupting hydrogen bonds is a chaotropic salt.

4. The method according to claim 1, wherein the blocking polypeptide is selected from BSA, FBS, SA, human serum, gelatin, skim milk powder or a polypeptide fraction of highly purified dermal collagen of porcine origin (Prionex® Reagent) and/or the sulfhydryl-reactive compound is selected from maleimide, haloacetyl, or pyridyl disulfide and/or the radical scavenger is selected from N-acetylcysteine, N-acetylcysteine amide, cysteine, L-ascorbic acid, resveratrol, β-carotene, seleno-L-methionine, chlorogenic acid and/or caffeic acid and/or the buffering component is selected from phosphate/citrate, potassium hydrogen phthalate and L-glycine and/or the reducing agent is selected from TCEP, dithiothreitol, or 2-mercaptoethanol and/or the chaotropic salt is selected from one or more of guanidinium chloride, urea, sodium dodecyl sulfate or magnesium chloride.

5. The method according to claim 1, wherein the blocking solution comprises 0.1 to 4%, particularly 0.5 to 2%, of a compound selected from BSA, FBS, SA, human serum, gelatin, skim milk powder or Prionex® Reagent and/or 1 mmol/L to 1 mol/L, particularly 10 mmol/L to 500 mmol/L, of maleimide, haloacetyl, or pyridyl disulfide and/or the imaging solution comprises 1 mmol/L to 1 mol/L, particularly 300 mmol/L to 1.5 mol/L, of a compound selected from N-acetylcysteine, N-acetylcysteine amide, cysteine, L-ascorbic acid, resveratrol, β-carotene, seleno-L-methionine, chlorogenic acid or caffeic acid, and/or a pH of 7.2-7.6 and/or the elution solution comprises 0.5 M L-glycine and 1 mmol/L to 1 mol/L of a compound selected from TCEP, dithiothreitol, or 2-mercaptoethanol and/or 1 mmol/L to 10 mol/L of one or more of guanidinium chloride, urea, sodium dodecyl sulfate or magnesium chloride and/or a pH of 2.2-2.6.

6. The method according to claim 1, wherein the blocking solution comprises 1% BSA and 150 mM maleimide in PBS and/or the imaging solution comprises 700 mM N-acetylcysteine in H.sub.2O, at pH 7.4 and/or the elution solution comprises 0.5 M L-glycine, 70 mM TCEP, 3 M guanidinium chloride and 3 M urea in H.sub.2O at pH 2.5.

7. The method according to claim 1, wherein the first antibody is incubated from 10 minutes to 16 hours, particularly 1 to 3 hours, and/or the second antibody is incubated from 10 min to two hours and/or the blocking solution is incubated from 5 min to one hour and/or the elution solution is incubated for 1 minute to 30 minutes and/or all steps are performed at room temperature.

8.-10. (canceled)

11. A kit of parts (set) comprising a blocking buffer comprising: i. a blocking compound that is capable of binding to hydrophobic binding sites non-specifically, particularly wherein the blocking compound is a blocking polypeptide, more particularly a blocking polypeptide selected from BSA, FBS, SA, normal serum, gelatin, skim milk powder or Prionex® Reagent, even more particularly 0.5 to 2% of a compound selected from BSA, FBS, SA, normal serum, gelatin, skim milk powder or Prionex® Reagent,  most particularly ca. 1% BSA and b. an imaging buffer comprising i. a radical scavenger, particularly a compound that is selected from N-acetylcysteine, N-acetylcysteine amide, cysteine, L-ascorbic acid, resveratrol, β-carotene, seleno-L-methionine, chlorogenic acid and/or caffeic acid, more particularly 1 mmol/L to 1 mol/L of a compound selected from N-acetylcysteine, N-acetylcysteine amide, cysteine, L-ascorbic acid, resveratrol, β-carotene, seleno-L-methionine, chlorogenic acid or caffeic acid, most particularly 700 mM N-acetylcysteine and ii. a pH of 7.2-7.6, particularly a pH of 7.4. c. an elution buffer comprising i. a reducing agent, particularly a compound that is selected from TCEP, dithiothreitol, or 2-mercaptoethanol, more particularly 1 mmol/L to 1 mol/L of a compound that is selected from TCEP, dithiothreitol, or 2-mercaptoethanol, most particularly 70 mM TCEP and ii. at least one compound disrupting hydrogen bonds, particularly a chaotropic salt, particularly a compound that is selected from guanidinium chloride, urea, sodium dodecyl sulfate or magnesium chloride, more particularly 1 mmol/L to 10 mol/L of one or more of guanidinium chloride, urea, sodium dodecyl sulfate or magnesium chloride, most particularly 3 M guanidinium chloride and 3 M urea and iii. a buffering component, particularly L-glycine, more particularly 0.5 M L-glycine and iv. a pH lower than (<) 4, particularly pH <3, more particularly <2.7.

12. The kit of parts according to claim 11, additionally comprising instructions to conduct a method for multiplex staining of a biological sample.

Description

BRIEF DESCRIPTION OF THE FIGURES

[0072] FIG. 1 4i achieves at least 40-plexed spatially resolved molecular readouts from the same cell, whilst remaining highly reproducible at the single-cell and pixel level. (A) Image acquisition of fluorescence signals causes photo crosslinking of antibodies to the sample. Immunofluorescence (IF) against TUBA1A was performed. The sample was imaged without Imaging Buffer (1, orange box, gray represents non-imaged well areas). Antibodies were then eluted from the sample. The sample was then incubated with secondary antibodies and imaged a second time, in a tailed fashion (green boxes) to record fluorescence both in areas which have and have not been exposed to laser light, respectively (2). The former clearly show higher signal, exemplifying the effect of light in crosslinking primary antibodies to the sample. Images from first and second imaging are rescaled independently. (B) 4i elutes primary and secondary antibodies from the sample after image acquisition, whilst retaining epitope integrity. Boxplots of integrated cell intensity for multiple primary antibodies detected by secondary antibodies labelled with Alexa Fluor 588 (left) and Alexa Fluor 568 (right). Background intensity was quantified by incubating cells solely with secondary antibodies (1st boxplot from the left). Cell intensities were measured after 2 and 20 elutions (2nd and 4th boxplot from the left), showing similar dynamic ranges. Cell intensities were reduced to background after elution of primary and secondary antibody complex and restaining with secondary antibody only (3rd and 5th boxplot from the left) (FIG. 3B). Boxplot is constructed as follows: central mark indicates population median, box indicates population range between 25th and 75th percentile, whiskers cover of 99.3% of population range, outliers are marked as dots. (C) Composite images of the same cells stained with either CTNNB1 or TUBA1A from cycle 1, 11 and 21 or cycle 2, 10 and 20, respectively. Images from cycle 1 and 2 are colored in cyan, from cycle 11 and 10 in magenta, from cycle 21 and 20 in yellow. Areas of high colocalization between the three cycles appear white. Images of different 4i cycles were rescaled differently prior to creation of the composite image. (D) 4i retains high correlations of integrated single cell intensities over 21 cycles of iterative IF. Boxplot represent single-cell correlations of integrated cell intensity measured for either CTNNB1 or TUBA1A over all cycles for all cycles with each other. Boxplot is constructed as follows: central mark indicates population median, box indicates population range between 25th and 75th percentile, whiskers cover of 99.3% of population range, outliers are marked as dots. Number of cells 16,000. (E) 4i retains high pixel intensity correlations over 21 cycles of iterative IF. Boxplots represent pixel intensity correlations measured between cells over 21 4i cycles for CTNNB1 with itself (cyan), TUBA1A with itself (green), and CTNNB1 with TUBA1A (purple) in images smoothed by a mean filter of increasing size (none, 2×2, 3×3, 5×5, 7×7, and 10×10 pixel) (FIG. 3D,E). Boxplot is constructed as follows: central mark indicates population median, box indicates population range between 25th and 75th percentile, whiskers cover of 99.3% of population range, outliers are marked as dots. Number of cells 16,000.

[0073] FIG. 2 Application of 4i in a high-throughput set up generates information across biological scales. Schematic representation of the 4i protocol. (1) The sample is blocked to prevent unspecific antibody binding and blocking of free sulfohydryls/thiols by thioether reaction with maleimide. (2) Indirect immunofluorescence (IF) against two different antigens of interest is performed. (3) Imaging Buffer is added to the sample and imaged. (4) Elution Buffer is used to elute primary and secondary antibodies from the sample, which is now ready to undergo another round of 4i.

[0074] FIG. 3 4i protocol optimization (A) Imaging Buffer prevents cross linking of antibodies to sample during image acquisition. Micrographs of cells stained for TUBA1A using primary and secondary antibodies (first two panels for the left) and of cells incubated with secondary antibodies only (third panel from the left, Ctrl). 4i was performed in cells against TUBA1A (first two panels from the left, primary and secondary antibody), as well as only with secondary antibodies (Ctrl, third panel from the left). Antibodies were eluted from sample (first micrograph of each panel), sample cells were then incubated with secondary antibody only to probe for complete elution of primary antibodies (second micrograph of each panel), and restained for TUBA1A (third micrograph of each panel). Micrographs of individual panels were rescaled the same. Micrographs in first panel was rescaled differently to second and third panel. (B) Maleimide treatment in sample blocking aids antibody elution while retaining structural integrity of the sample. Scatter plots in the upper row visualize on the X axis mean values of correlations quantified in single cells for pixel intensities measured between signal acquired after immunofluorescence (Stain1) and restaining with only the secondary antibody after sample elution (SecAbRestain) and on the Y axis mean values of correlations quantified in single cells for pixel intensities measured between signal acquired after immunofluorescence (Stain1) and the second round of immunofluorescence after antibody elution (Stain 2) using secondary antibodies labeled with AlexaFluor 488 (upper left) or AlexaFluor 568 (upper right). Highest correlations values between Stain 1 and 2, as well as lowest correlation values between SecAbRestain and Stain 1 are achieved by adding Maleimide to the Blocking Buffer. Same analysis was performed quantifying correlations of single cell intensities, leading to the same result (lower row) (C) Boxplots of integrated cell intensity measured for antibodies raised in mouse (secondary antibody goat anti mouse Alexa Fluor 488) used for the experiment over 20 cycles of 4i. Gray boxplots represent cell intensities measured in cells, which were incubated with both primary and secondary antibodies. Blue boxplots represent cell intensities measured in cells, which were incubated solely with secondary antibodies. These serve as a control to quantify buildup of background signal due to unspecific binding of secondary antibody, incomplete elution of primary and secondary antibodies from the sample and epitope stability. Similarity throughout the experiment between the white boxplots representing immunofluorescence show stable dynamic range for 20 cycles of 4i, as well as successful elution of antibodies from the sample over 20 cycles of 4i, exemplified by similarity of the white and the blue boxplots at all steps of restaining the sample only with secondary antibodies (no P. Ab). Finally, no buildup of background signal was detected, highlighted by similarity of the blue boxplots at all stages of the experiment. Same experiment and results as described in upper row, but with primary antibodies raised in rabbit (and secondary antibodies goat anti rabbit Alexa Fluor 568). Boxplot is constructed as follows: central mark indicates population median, box indicates population range between 25th and 75th percentile, whiskers cover of 99.3% of population range, outliers are marked as dots. (D) Bar graphs represent correlations (Pearson in blue and Spearman in green) integrated cell intensity of PCNA, FBL, CTNNB1 and TUBA1A for cycles 1 to 21 compared to cycle of the first staining (cycle 1 for PCNA and CTNNB1, cycle 2 for FBL and TUBA1A). (E) 4i retains high pixel intensity correlations over 21 cycles of iterative IF. Boxplots represent pixel intensity correlations measured between cells over 21 4i cycles for PCNA with itself (cyan), FBL with itself (green), and PCNA with FBL (purple) in images smoothed by a mean filter of increasing size (none, 2×2, 3×3, 5×5, 7×7, and 10×10 pixel). Boxplot is constructed as follows: central mark indicates population median, box indicates population range between 25th and 75th percentile, whiskers cover of 99.3% of population range, outliers are marked as dots.

EXAMPLES

[0075] Materials and Methods

[0076] Cell Culture

[0077] Cell Line

[0078] HeLa Kyoto (Human cervical epithelial cell line, Prof. J. Ellenberg laboratory, EMBL, Germany). Cells were tested for identity by karyotyping and tested for absence of mycoplasm before use.

[0079] Complete Medium(CM)

[0080] CM consists of 10% Fetal Bovine Serum (FBS), and 5% Glutamine in DMEM. DMEM (Lifetechnologies), Fetal Bovine Serum (Sigma Aldrich), Glutamine (Lifetechnologies).

[0081] Pharmacological Perturbations

[0082] Epidermal Growth Factor (EGF) (Milipore), Nocodazole (Sigma Aldrich), Latrunculin A (Sigma Aldrich), Bafilomycin Al (Sigma Aldrich), Brefeldin A (Sigma Aldrich), Wortmannin (Sigma Aldrich), Rapamycin (Sigma Aldrich).

[0083] Iterative Indirect Immunofluorescence Imaging (4i )

[0084] 4i Blocking Solution (sBS)

[0085] sBS consists of 1% Bovine Serum Albumine (BSA), and 150mM Maleimide in phosphate buffered saline (PBS).

[0086] Maleimide is added to aqueous solution just before Blocking step in 4i protocol. BSA (Sigma Aldrich), Maleimide (Sigma Aldrich)

[0087] Conventional Blocking Solution (cBS)

[0088] cBS consists of 1% Bovine Serum Albumine (BSA) in phosphate buffered saline (PBS). BSA (Sigma Aldrich)

[0089] Imaging Buffer (IB)

[0090] IB consists of 700 mM N-Acetyl-Cysteine (NAC) in dH.sub.20.

[0091] Adjust to pH7.4.

[0092] NAC (Sigma Aldrich)

[0093] Elution Buffer (EB)

[0094] EB consists of 0.5M L-Glycine, 3M Urea, 3M Guanidinum chloride (GC), and 70mM TCEP-HCl (TCEP) in ddH.sub.20.

[0095] Adjust to pH2.5.

[0096] L-Glycine (Sigma-Aldrich), Urea (Sigma-Aldrich), GC (Sigma-Aldrich), TCEP (Sigma-Aldrich).

[0097] Primary Antibodies

[0098] Antibodies were selected based on the following criteria: 1. Successful use of antibody in immunofluorescence has been published in the past in scientific literature. 2. Antibody is raised against epitopes on bona fide markers of organelles. 3. To ensure same number of antibodies raised in both mouse and rabbit.

TABLE-US-00001 Antibodies raised in mouse Conc. Cycle Name (1/x) Clonality Manufacturer Product ID 1 LAMP1 250 monoclonal BD Biosciences 555798 2 RAB11 200 monoclonal Cell Signaling 5589 3 TSG101 100 monoclonal Santa Cruz Biotechnology sc-7964 4 EGFR 150 monoclonal Santa Cruz Biotechnology sc-373746 5 HSP60 1000 monoclonal Abcam ab13532 6 ABCD3 300 monoclonal Sigma Life Science AmAb90995 7 CCNE1 150 monoclonal Abcam ab3927 8 ISG15 200 monoclonal Santa Cruz Biotechnology sc-166755 9 c-MYC 150 monoclonal Santa Cruz Biotechnology sc-40 10 EEA1 150 monoclonal BD Biosciences 610457 11 TFRC 200 monoclonal ThermoFisher Scientific 13-6800 12 VIME 500 monoclonal Abcam ab8978 13 p-FAK 200 Monoclonal BD Biosciences 611722 14 GM130 300 monoclonal BD Biosciences 610822 15 CTNNB1 300 monoclonal Cell Signaling Technology 2677 16 Actin 200 Monoclonal Abcam ab3280 17 TUBA1A 500 monoclonal Abcam ab7291 18 NUPS 1000 monoclonal Abcam ab24609 19 Yap/Taz 200 monoclonal Santa Cruz Biotechnology 101199 20 Climp63 1000 monoclonal Enzo ALX-804-604 21 VINC 500 monoclonal Sigma-Aldrich V9131

TABLE-US-00002 Antibodies raised in rabbit Conc. Cycle Name (1/x) Clonality Manufacturer Product ID 1 LC3B 250 polyclonal MBL PM036 2 p-ERK 300 polyclonal Cell Signaling Technology 9101 3 p-AKT 200 monoclonal Cell Signaling Technology 13038 4 p-AMPK 200 monoclonal Cell Signaling Technology 2535 5 p-GSK3B 200 monoclonal Cell Signaling Technology 9323 6 PKM2 200 polyclonal Novus Biologicals NBP1-48308 7 EIF1a 200 polyclonal Cell Signaling Technology 9721 8 GSK3A/B 200 monoclonal Cell Signaling Technology 5676 9 CCNB1 200 monoclonal Cell Signaling Technology 12231 10 p-RPS6 200 polyclonal Cell Signaling Technology 2211 11 CAV1 200 polyclonal Santa Cruz Biotechnology sc-894 12 p-4EBP1 150 monoclonal Cell Signaling Technology 2855 13 SARA 150 polyclonal Santa Cruz Biotechnology sc-9135 14 p-MEK 150 polyclonal Cell Signaling Technology 9121 15 CRT 1000 polyclonal Abcam 2907 16 PCNA 300 monoclonal Cell Signaling Technology 13110 17 p-EGFR 250 polyclonal ThermoFischer Scientific 36-9700 18 PCNT 1000 polyclonal Abcam ab4448 19 FBL 750 polyclonal Abcam ab5821 20 TGN46 300 polyclonal Sigma-Aldrich T7576 21 p-ERK 300 polyclonal Cell Signaling Technology 9101

[0099] Whilst testing antibodies for this publication, two (antibody against epitope on TOM20 (Abcam ab56783) and CAT (Abcam ab110292)) out of more than 50 antibodies were identified to not work together with the 4i protocol.

[0100] Secondary Antibodies

[0101] Anti-mouse AlexaFluor-488 was diluted 1:600 and anti-rabbit AlexaFluor-568 was diluted 1:300 in cBS respectively.

[0102] Anti-mouse AlexaFluor-488 (Lifetechnologies), anti-rabbit AlexaFluor-568 (Lifetechnologies)

[0103] DNA Stain Solution (DSS)

[0104] 4′,6-diamidino-2-phenylindole (DAPI) diluted 1:250 to 1:50 in PBS.

[0105] DAPI concentration was increased with increasing numbers of elutions to compensate for signal lost due to depurination of DNA, and the resulting reduced binding affinity of DAPI. DAPI (Lifetechnologies)

[0106] Computational Infrastructure

[0107] Image analysis steps were performed on the high-performance cluster computer Brutus at ETH Zürich. Extraction of multiplexed pixel profiles, as well as their clustering using self-organizing algorithms were performed on Science Cloud UZH. All other described computational methods were executed on a desktop computer.

[0108] Supplementary Methods

[0109] Cell Culture

[0110] Cells were cultured in Complete Medium at 37 ° C., 95% Humidity and 5% CO.sub.2. 750 cells per well were seeded in a 384-well plate (Greiner) and were grown for 3 days in the above mentioned conditions.

[0111] Pharmacological and Metabolic Perturbations

[0112] All compounds were diluted in to their respective final concentration using Complete Medium, except for EGF, which was diluted in DMEM only.

[0113] Pharmacological Perturbations:

[0114] Cells were incubated for 3 h with compounds.

TABLE-US-00003 Latranculin Bafilomycin Brefeldin Nocodazole A A1 A Wortmannin Rapamycin (NOC) (LATA) (BAF) (BRF) (WRT) (RPA) Concentration 500 ng/ml 0.2 mM 100 mM 2.5 mg/ml 1 mM 0.5 mM

[0115] Metabolic Perturbations

TABLE-US-00004 Overnight growth GFS followed factor starvation by 3 h EGF 3 h EGF in Optimem stimulation stimulation (GFS) (S + EGF) (EGF) EGF 0 ng/ml 100 ng/ml 100 ng/ml concentration

[0116] Microscopy

[0117] An automated spinning disk microscope from Yokogawa (CellVoyager 7000) with an enhanced CSU-W1 spinning disk (Microlens-enhanced dual Nipkow disk confocal scanner, wide view type) was used in combination with a 40× Olympus objective of 0.95 NA, and Neo sCMOS cameras (Andor, 2,560×2,160 pixels) to acquire microscopy images. 18 z-planes with a 500 nm z-spacing were acquired per site and a maximum intensity projection was computed and used for subsequent image analysis. UV (406 nm), green (488 nm) and red (568 nm) signals were acquired sequentially.

[0118] Iterative Indirect Immunofluorescence Imaging (4i)

[0119] Sample Preparation

[0120] If not stated differently, all steps were performed at room temperature. Cells were fixed in 4% Paraformaldehyde (Electron Microscopy Sciences) for 30 min. Cells were then permeabilized with 0.5% Triton X-100 for 15min. Cells were washed 6 times with PBS both before and after permeabilization. Fixation and permeabilization were performed at room temperature.

[0121] Immunofluorescence

[0122] Each of the subsequent steps was performed in sequence of their mentioning and in every cycle of 4i. If not stated differently, all steps were performed at room temperature. [0123] 1. Antibody Elution [0124] Sample was washed 6 times with ddH.sub.2O. Residual ddH.sub.2O was aspirated to minimal volume. [0125] Subsequent actions are repeated 3 times: EB was added to sample and shaken at 100 rpm for 10 min. Then EB was aspirated to minimal volume possible. [0126] 2. Blocking [0127] sBS was added to sample shaken at 100 revolutions per minutes (rpm) for 1 h. [0128] After 1 h sample was washed 6 times with PBS. [0129] 3. Indirect immunofluorescence, primary antibody stain [0130] Primary antibody solution was added to sample and shaken at 100 rpm for 2 h. [0131] After 2 h sample was washed 6 times with PBS. [0132] 4. Indirect immunofluorescence, secondary antibody stain [0133] Secondary antibody solution was added to sample and shaken at 100 rpm for 2 h. [0134] After 2 h sample was washed 6 times with PBS. [0135] 5. Nuclear staining [0136] DSS was added to sample and shaken at 100 rpm for 10 min. [0137] After 10min sample was washed 6 times with ddH.sub.2O. Residual ddH.sub.2O was aspirated to minimal volume. [0138] 6. Imaging [0139] IB was added to sample and sample was imaged. [0140] 7. Perform step 1 to 6 until required plexity is achieved.

[0141] All liquid dispensing and washing steps of the 4i protocol were performed using a Washer Dispenser EL406 (BioTek). Primary and secondary antibodies were dispensed using a Bravo liquid handling platform from Agilent Technologies.

[0142] Antibody Elutability and Dynamic Range Preservation Over 20 4i Cycles

[0143] To test sample stability, elution of primary and secondary antibody from the sample, and potential back ground signal increase from non-specific binding of secondary antibody over 20 4i cycles the following experiment was performed. (1) The sample was first treated with EB (1× Elut.), (2) then stained only with secondary antibody to record the fluorescence background level (SecAb only). (3) Subsequently the sample was treated with EB (2× Elut.) and then (4) incubated with both primary and secondary antibodies in test wells and only with secondary antibodies in control wells (IF). (5) Primary and secondary antibodies were eluted from the sample (3× Elut.) and (6) the sample was incubated with secondary antibodies only (SecAb only) in both test and control wells. Next, (7) 5 cycles of 4i were performed with the sample without antibody staining and image acquisition, (8) followed by another round of IF (8× Elut.). (9) Primary and secondary antibodies were eluted from the sample (9× Elute) and (10) the sample was incubated with secondary antibodies only (SecAb only). Steps 7 to 10 were repeated twice (15× Elut., 21× Elut.).

[0144] Computation of Single-Cell Pixel Correlations

[0145] Pixel correlations were calculated between two 4i signals. If the signals were not recorded during the same acquisition, image alignment was performed prior to the correlation measurement. First, the same background value was subtracted from both images. Next, single pixel intensities of the two different 4i signals originating from the same cell were correlated in the segmented areas (Cell, Cytoplasm, Nucleus). This was done for every cell individually. Pixel correlations were calculated either with unsmoothed images or on images smoothed by either a 2×2, 3×3,5×5, 7×7, or 10×10 pixel mean filter. Pixel correlations in FIG. 1E and FIG. 3E were calculated as following. Pixel intensities of the first CTNNB1 staining (cycle 1) were correlated with each other CTNNB1 stain (odd cycles) up to the 21.sup.st cycle. Pixel intensities of the first TUBA1A staining (cycle 2) were correlated with each other TUBA1A stain (even cycles) up to the 20.sup.th cycle (green boxplots). Pixel intensity correlations between CTNNB1 and TUBA1A were calculated between the first CTNNB1 stain (cycle 1) and each TUBA1A staining (cycle 2, 4, 6, 8, 10, 12, 14, 16, 18, 20). The calculated correlations over all cycles for each stain were aggregated in one box plot each and calculated after the corresponding images were smoothed by a mean filter of increasing size (none, 2×2, 3×3, 5×5, 7×7, and 10×10 pixel) pixels correlations of all cycles.

[0146] Image Alignment of Acquisition from Different 4i Cycles

[0147] Microscopy images of different cycles from the same site require image alignment, as slight shifts in X and Y occur in between acquisitions due to imperfect stage repositioning. Image registration based on Fast Fourier Transform was performed on DAPI images of two cycles. 488nm and 568nm acquisition, and segmentations masks were shifted by the calculated offset, resulting in aligned microscopy sites.

Example 1

[0148] To obtain an approach that meets all requirements, the high-throughput multivariate imaging and computer vision approach (Snijder et al., (2009) Nature 461, 520-523; Liberali et al., (2014) Cell 157, 1473-1487; Battich et al., (2015). Cell 163, 1596-1610) was combined with an automated liquid handling platform that applies multiple iterations of staining, signal removal, and re-staining, a principle used in other fluorescence-based multiplexing approaches (Schubert et al., (2006). Nat Biotechnol 24, 1270-1278; Wahlby et al., (2002). Cytometry 47, 32-41; Lin et al., (2015). Nat Commun 6, 8390). Since photo-bleaching for signal removal was at these scales not practical, chemical antibody elution was chosen. Moreover, to be unrestricted in the choice of antibodies and not require primary antibody conjugations, the inventors turned to conventional indirect immunofluorescence, and made an unexpected discovery (FIG. 1A and FIG. 3A). When one site of the sample was imaged with an automated high-resolution spinning-disk confocal microscope after a standard immunofluorescence protocol (first imaging), the bound antibodies were eluted from the sample, re-stained with only secondary antibody, and the efficiency of antibody elution was checked (second imaging), the inventors observed that the elution efficiency was strongly compromised in the region that was exposed to light, but not in regions that were not exposed to light during the first round of imaging (FIG. 1A). This may be caused by the formation of singlet oxygen radicals during the excitation of fluorophores, which can introduce covalent bonds between reactive amino acids (methionine and cysteine) of proteins near the fluorophore, resulting in the crosslinking of antibodies to the sample during exposure to high-energy laser light used in confocal microscopy. Since this has gone unnoticed in previous antibody elution approaches, it may have prevented complete elution and led to the use of particularly harsh conditions that degrade the sample.

[0149] Next, it was screened through combinations of reagents that prevent such photo-induced crosslinking during imaging without reducing the efficiency of photon emission, and therefore allow complete antibody elution under very mild conditions that do not remove or degrade the antigen (FIG. 3B). This identified an imaging buffer that contains a low amount of a radical scavenger as well as an acceptor for free radical-induced photo-crosslinking, a very mild elution buffer, which relies on a reducing agent, low pH and chaotropic salt, and a blocking buffer that blocks free sulfhydryl groups in the sample. For more than 40 different antibodies, this combination achieved complete elution of primary and secondary antibodies over up to 21 iterations of staining and elution, the maximum number of cycles tested, whilst preventing any detectable loss or morphological changes in staining (FIG. 1B and FIG. 3B, C). Overlaying images obtained with the same antibodies in a 1st, 11th, and 21st round of staining resulted in almost perfect grey-scale images for various types of intracellular structures (FIG. 1C), and in very high single-cell and single-pixel intensity correlations between all rounds (FIG. 1D-E and FIG. 3D-E). Thus, the high-throughput automated iterative indirect immunofluorescence imaging approach (which is referred to as 4i) can obtain signals from surface areas as large as several mm.sup.2 that are quantitatively reproducible over at least 20 iterations from subsamples as small as 165 by 165 nm, which corresponds to the surface area of a single pixel using a 40× objective and sCMOS camera.

Example 2

[0150] Then, 4i was applied on human tissue culture cells (FIG. 2), covering the full cell height in 18 z-planes, and a total surface area of 9 mm.sup.2, capturing ˜20,000 single cells, for 11 different experimental conditions. Collectively, these images contain multivariate molecular and phenotypic information across several orders of magnitude of spatial scales, providing the possibility to directly study connections between multiple levels of biological organization. For instance, they allow visualizing the influence of local cell crowding on the abundance of an organelle, an emergent property at the cell population level, or of how position in the cell cycle influences the phosphorylated state of a protein, a property at the cellular level. At the same time, it allows assessing protein sub-compartmentalization, a property at the subcellular level, with enough resolution to capture the detailed morphology of cytoskeletal structures and organelles, such as microtubules, actin ruffles and focal adhesions, multiple types of endosomes, individual tubules of mitochondria, and ribbons of the Golgi complex, all in the same single cell and across hundreds of thousands of cells.

[0151] Discussion

[0152] The inventors have acquired 40 protein measurements that span the mm to the nm length scale in the same biological sample at high-throughput and for multiple conditions, and combined the information extracted from these various biological scales into one dataset. While existing protein multiplexing approaches have achieved similar levels of multiplexing for different subranges of these scales, none has spanned all simultaneously, either in low- or high-throughput. Moreover, the inventors achieve for the first time near comprehensive visualization of all intracellular organelles in the same cell. The underlying methodology is simple. 4i technology builds on a well-established high-throughput multivariate imaging platform combined with automated liquid handling that applies the proven principle of iterative staining and signal removal. 4i uses off-the-shelf antibodies without the need for special conjugations resulting in high signal yield due to the use of bright fluorophores and signal amplification by a secondary antibody. A crucial factor hereby is the prevention of photo-crosslinking during imaging, which enabled complete removal of both primary and secondary antibodies with a mild elution buffer, whilst fully preserving the sample even at the smallest spatial scale across a large number of cycles. This comes with the added advantage that epitope masking upon the detection of multiple antigens in close proximity is precluded. Excitingly, while the inventors have here restricted their analysis to 2D projections of single cells, their approach could also be applied to voxels for 3D analyses. In addition, their ability to obtain quantitatively reproducible single-pixel measurements promises 4i to be applicable in superresolution microscopy. In fact, highly multiplexed measurements on neighboring pixels may provide additional information that could increase the resolution of the image, as previously suggested. The ability to bridge biological length scales is one of the major challenges in the life sciences. Usually, extrapolation or inference is applied. However, in order to predict how properties at a higher scale emerge from multiple interactions occurring at a lower scale and how that feeds back on each other, it is necessary to cover multiple length scales within one measured dataset. Such datasets contain a richness of connections between scales that our current models of biological processes do not yet take into account. However, it is exactly through these connections by which gene expression is adapted to the cellular state, how a cell type is determined, how a pathological cellular phenotype emerges, or how a tumor cell responds to a drug.